L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Systems Engineer - Information Security Job Code: 40753 Job Location: Greenville, TX Job Schedule: 9/80 - Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off. Job Description: Information Systems Security Engineer (ISSE) is part of a team which establishes, supports, and coordinates tasks related to Cybersecurity and Assessment & Authorization (A&A) to obtain and maintain Authorizations to Operate (ATOs) for delivered systems via the NIST 800 Series Risk Management Framework (RMF). This position is part of a larger customer Information Assurance team, coordinating L3Harris efforts supporting the Information Owner, and assisting the ISSM, to implement actions needed to document current/future baselines and new capabilities in the NIST/RMF-approved process. Essential Functions: Participate in risk and vulnerability assessments (as required) of information systems to identify vulnerabilities, risks, and protection needs, coordinate L3H efforts to develop Security Impact Assessments (SIAs) of proposed system modifications for submittal to the ISSM. This position combines an understanding of both software engineering and hardware engineering. Prepare and present technical results for internal and external program meetings. Develop, track and present technical metrics. Understanding of hardware level interdependencies for Infrastructure, Network, & Mission Processor requirements between multiple devices as well as understanding how software works in conjunction with hardware interdependencies. Manage requirements in either DOORS or JIRA through all phases of the project. Communicates within and outside of the organization to influence leadership to accept new practices, approaches, and concepts. Track all assigned systems for A&A (Assessment and Authorization) status and oversee accreditation/reaccreditation actions. Responsible for improving upon existing processes or establishing new processes and systems. Work cross-functionally to ensure security requirements are addressed throughout the mission system development lifecycle. Perform security compliance scans, vulnerability analysis, and drive identified issues resolution. Performs periodic vulnerability scans of networks to identify security vulnerabilities and provides remediation alternatives and conducts security risk assessments to ensure compliance with corporate security policies and adherence to best practices. Develop and maintain ATO Body of Evidence artifacts. Work is 100% on-site and CANNOT be accomplished remotely. Active DoD Secret Clearance with ability to obtain Top-Secret Clearance. Qualifications: Bachelor's degree in engineering (Cybersecurity, Computer Science, Electrical, Mechanical, Systems, Software, Physics, etc.) and minimum 6 years of prior related experience. Graduate Degree and a minimum of 4 years of prior relevant experience. In lieu of a degree, a minimum of 10 years of prior related experience. Experience in design, development, and fielding of Systems Security Engineering (SSE) systems. Experience translating NIST 800-53 security controls into functional requirements that product teams can implement. Experience in drafting Systems Security Engineering Requirements and effectively communicating these requirements with other groups. Experience with the Risk Management Framework (RMF) process to include NIST and DoD standards. Experience with drafting security documents for various security certifications. Preferred Additional Skills: Proposal Development. Demonstrated understanding of networking. Experience or proficiency with Linux administration, Bash scripting, Python, Windows PowerShell, Windows administration, Nessus, Wireshark, Nmap, Elastic Stack (Elasticsearch, Logstash and Kibana (ELK . Demonstrated understanding of Linux audit and logging system architecture. Demonstrated understanding of directory services - Active Directory and LDAP. Demonstrated understanding computer networking and familiarity with NIST publications. Experience in application hardening through code scanning (with tools like Coverity/Fortify) and mitigating findings. Top Secret/SCI clearance or DOD Top Secret with current SSBI within the last 5 years. Experience with eMass and/or Xacta. Knowledge of deployment logistics for DoD systems, including transport, setup, and integration in austere or contested environments. Familiarity with DoD acquisition processes and exercise planning frameworks. Experience with network configuration, data links (e.g., Link 16), or edge computing in operational settings. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
08/24/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Systems Engineer - Information Security Job Code: 40753 Job Location: Greenville, TX Job Schedule: 9/80 - Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off. Job Description: Information Systems Security Engineer (ISSE) is part of a team which establishes, supports, and coordinates tasks related to Cybersecurity and Assessment & Authorization (A&A) to obtain and maintain Authorizations to Operate (ATOs) for delivered systems via the NIST 800 Series Risk Management Framework (RMF). This position is part of a larger customer Information Assurance team, coordinating L3Harris efforts supporting the Information Owner, and assisting the ISSM, to implement actions needed to document current/future baselines and new capabilities in the NIST/RMF-approved process. Essential Functions: Participate in risk and vulnerability assessments (as required) of information systems to identify vulnerabilities, risks, and protection needs, coordinate L3H efforts to develop Security Impact Assessments (SIAs) of proposed system modifications for submittal to the ISSM. This position combines an understanding of both software engineering and hardware engineering. Prepare and present technical results for internal and external program meetings. Develop, track and present technical metrics. Understanding of hardware level interdependencies for Infrastructure, Network, & Mission Processor requirements between multiple devices as well as understanding how software works in conjunction with hardware interdependencies. Manage requirements in either DOORS or JIRA through all phases of the project. Communicates within and outside of the organization to influence leadership to accept new practices, approaches, and concepts. Track all assigned systems for A&A (Assessment and Authorization) status and oversee accreditation/reaccreditation actions. Responsible for improving upon existing processes or establishing new processes and systems. Work cross-functionally to ensure security requirements are addressed throughout the mission system development lifecycle. Perform security compliance scans, vulnerability analysis, and drive identified issues resolution. Performs periodic vulnerability scans of networks to identify security vulnerabilities and provides remediation alternatives and conducts security risk assessments to ensure compliance with corporate security policies and adherence to best practices. Develop and maintain ATO Body of Evidence artifacts. Work is 100% on-site and CANNOT be accomplished remotely. Active DoD Secret Clearance with ability to obtain Top-Secret Clearance. Qualifications: Bachelor's degree in engineering (Cybersecurity, Computer Science, Electrical, Mechanical, Systems, Software, Physics, etc.) and minimum 6 years of prior related experience. Graduate Degree and a minimum of 4 years of prior relevant experience. In lieu of a degree, a minimum of 10 years of prior related experience. Experience in design, development, and fielding of Systems Security Engineering (SSE) systems. Experience translating NIST 800-53 security controls into functional requirements that product teams can implement. Experience in drafting Systems Security Engineering Requirements and effectively communicating these requirements with other groups. Experience with the Risk Management Framework (RMF) process to include NIST and DoD standards. Experience with drafting security documents for various security certifications. Preferred Additional Skills: Proposal Development. Demonstrated understanding of networking. Experience or proficiency with Linux administration, Bash scripting, Python, Windows PowerShell, Windows administration, Nessus, Wireshark, Nmap, Elastic Stack (Elasticsearch, Logstash and Kibana (ELK . Demonstrated understanding of Linux audit and logging system architecture. Demonstrated understanding of directory services - Active Directory and LDAP. Demonstrated understanding computer networking and familiarity with NIST publications. Experience in application hardening through code scanning (with tools like Coverity/Fortify) and mitigating findings. Top Secret/SCI clearance or DOD Top Secret with current SSBI within the last 5 years. Experience with eMass and/or Xacta. Knowledge of deployment logistics for DoD systems, including transport, setup, and integration in austere or contested environments. Familiarity with DoD acquisition processes and exercise planning frameworks. Experience with network configuration, data links (e.g., Link 16), or edge computing in operational settings. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Software Engineer Job Code: 40955 Job Location: Palm Bay, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: We are seeking a Software Engineer in Palm Bay, Florida to design, develop, integrate, and sustain mission-focused software solutions. In this role, you'll work across a diverse technical landscape from embedded software and backend services to web applications, containerized environments, and DevOps workflows. The ideal candidate thrives in varied technical environments and brings experience with technologies including C++, Python, JavaScript, React, and Docker-based development. You'll play a key role in supporting secure, mission-critical programs that make a real impact. Essential Functions: Contribute to the design, development, integration, test, and sustainment of software solutions across embedded systems, backend services, and web-based applications. Develop and maintain software using technologies such as C++, Python, JavaScript, and React in support of mission and program requirements. Support containerized development and deployment workflows using Docker and established DevOps practices to improve delivery efficiency, consistency, and reliability. Collaborate with systems engineering, software engineering, integration, and program teams to implement technical solutions aligned with operational and customer needs. Participate in software troubleshooting, defect resolution, performance improvement, and technical problem solving across the development lifecycle. Create and maintain technical documentation, code artifacts, and engineering products that support integration, testing, deployment, and long-term sustainment. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active TS/SCI is required. Preferred Additional Skills: Active TS/SCI w CI Polygraph. Experience contributing across both embedded and web application environments. Experience with React and modern JavaScript development for user-facing applications. Experience with DevOps practices, CI/CD workflows, and containerized software delivery. Experience developing or integrating software in Linux-based environments. Experience in software engineering for one or more of the following areas: embedded software, backend services, full stack applications, or web application development. Hands-on development experience with one or more relevant programming languages such as C++, Python, or JavaScript. Experience working with modern software development practices, including version control, code reviews, debugging, and automated build or test workflows. Familiarity with Docker-based development environments, containerized applications, or DevOps-oriented software delivery practices. Ability to contribute effectively as an individual contributor on a technical team supporting secure, mission-focused software programs. S1 L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
08/24/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Software Engineer Job Code: 40955 Job Location: Palm Bay, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: We are seeking a Software Engineer in Palm Bay, Florida to design, develop, integrate, and sustain mission-focused software solutions. In this role, you'll work across a diverse technical landscape from embedded software and backend services to web applications, containerized environments, and DevOps workflows. The ideal candidate thrives in varied technical environments and brings experience with technologies including C++, Python, JavaScript, React, and Docker-based development. You'll play a key role in supporting secure, mission-critical programs that make a real impact. Essential Functions: Contribute to the design, development, integration, test, and sustainment of software solutions across embedded systems, backend services, and web-based applications. Develop and maintain software using technologies such as C++, Python, JavaScript, and React in support of mission and program requirements. Support containerized development and deployment workflows using Docker and established DevOps practices to improve delivery efficiency, consistency, and reliability. Collaborate with systems engineering, software engineering, integration, and program teams to implement technical solutions aligned with operational and customer needs. Participate in software troubleshooting, defect resolution, performance improvement, and technical problem solving across the development lifecycle. Create and maintain technical documentation, code artifacts, and engineering products that support integration, testing, deployment, and long-term sustainment. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active TS/SCI is required. Preferred Additional Skills: Active TS/SCI w CI Polygraph. Experience contributing across both embedded and web application environments. Experience with React and modern JavaScript development for user-facing applications. Experience with DevOps practices, CI/CD workflows, and containerized software delivery. Experience developing or integrating software in Linux-based environments. Experience in software engineering for one or more of the following areas: embedded software, backend services, full stack applications, or web application development. Hands-on development experience with one or more relevant programming languages such as C++, Python, or JavaScript. Experience working with modern software development practices, including version control, code reviews, debugging, and automated build or test workflows. Familiarity with Docker-based development environments, containerized applications, or DevOps-oriented software delivery practices. Ability to contribute effectively as an individual contributor on a technical team supporting secure, mission-focused software programs. S1 L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Full Stack Engineer Job Code: 40003 Job Location: Washington DC Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: Working at Trenchant means working alongside the best security researchers and product engineers from across the security research and intelligence communities. You will be engaged on the most challenging problems in the toughest environments and delivering solutions supporting the cutting edge of cyber security research. We are seeking a highly motivated and experienced Full-Stack Software Engineer with deep expertise across a range of technologies. This role requires a unique blend of technical acumen, leadership abilities, and the discipline to deliver high-quality software under tight deadlines. We are a small team that achieves world-changing results and is driven to provide unparalleled cyber capability by utilizing technical prowess, innovation and our commitment to a noble mission. The Senior Full Stack Engineer's role is to engineer, design, execute, assess, and troubleshoot software programs and applications. This includes configuring, coding, developing, and documenting software specifications throughout the project life cycle. The individual will be responsible for designing, implementing, and deploying distributed server-side solutions and user interfaces. Essential Functions Participate in all phases of the software development lifecycle (SDLC), from requirements gathering and design to testing, deployment, maintenance, and documentation. Collaborate with globally distributed, cross-functional Agile teams, engaging closely with product managers, team members, and stakeholders. Diagnose, troubleshoot, and resolve software defects and performance issues across the technology stack. Ensure all code is well-tested using unit, integration, and system-level testing methodologies. Stay current with the latest software development trends, industry's best practices, and cybersecurity protocols. Contribute to improving development processes, best practices, and team knowledge through code reviews and process enhancement discussions. Document technical solutions and prepare end user manuals as required. Ability and eligibility to obtain and maintain a National Security clearance. Technical Responsibilities Design, develop, and maintain secure, scalable, and maintainable codebases using C# .NET, Python, and Angular. Architect, build, and optimize backend services, APIs, and robust interfaces for API interactions, SDKs, and client-facing features. Develop and maintain web user interfaces using Angular, focusing on usability, performance, and security. Administer and optimize PostgreSQL databases, including schema design, query optimization, and data migration. Engage in self-directed research to innovate and implement new product features aligned with industry standards. Participate in technical design discussions, code reviews, and continuous integration/delivery processes. Qualifications Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Preferred Additional Skills Background or strong understanding in UI/UX design and principles. Exposure to or hands-on experience with DevOps practices and toolchains. Familiarity with cybersecurity principles and secure coding best practices. Experience with event-driven frameworks (e.g., gRPC, SignalR) and containerization (Docker, Kubernetes). Knowledge of mobile application development for Android/iOS. Ability to read, interoperate, and understand lower-level code in C or C++. Experience working in distributed, secure, or high-availability system environments. Proven experience as a Full-Stack Software Engineer with a comprehensive project portfolio. Strong grasp of object-oriented programming principles, design patterns, and large distributed system architecture. Proficient in C#/.NET (5+), cross-platform development (Linux/Windows/MacOS), and relational databases (PostgreSQL). Hands-on experience with unit/integration testing, comprehensive documentation, API design and development. Familiarity with Python; TypeScript/JavaScript (especially Angular or similar frameworks); and performance/memory analysis tools. Comfortable with Source Control and CI/CD systems. Experience working in Agile environments (Scrum/Kanban) and with inter-process communication (e.g., TCP, SSL, RabbitMQ). In compliance with pay transparency requirements, the salary range for this role in Washington D.C. is $111,500 - $207,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
08/24/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Full Stack Engineer Job Code: 40003 Job Location: Washington DC Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: Working at Trenchant means working alongside the best security researchers and product engineers from across the security research and intelligence communities. You will be engaged on the most challenging problems in the toughest environments and delivering solutions supporting the cutting edge of cyber security research. We are seeking a highly motivated and experienced Full-Stack Software Engineer with deep expertise across a range of technologies. This role requires a unique blend of technical acumen, leadership abilities, and the discipline to deliver high-quality software under tight deadlines. We are a small team that achieves world-changing results and is driven to provide unparalleled cyber capability by utilizing technical prowess, innovation and our commitment to a noble mission. The Senior Full Stack Engineer's role is to engineer, design, execute, assess, and troubleshoot software programs and applications. This includes configuring, coding, developing, and documenting software specifications throughout the project life cycle. The individual will be responsible for designing, implementing, and deploying distributed server-side solutions and user interfaces. Essential Functions Participate in all phases of the software development lifecycle (SDLC), from requirements gathering and design to testing, deployment, maintenance, and documentation. Collaborate with globally distributed, cross-functional Agile teams, engaging closely with product managers, team members, and stakeholders. Diagnose, troubleshoot, and resolve software defects and performance issues across the technology stack. Ensure all code is well-tested using unit, integration, and system-level testing methodologies. Stay current with the latest software development trends, industry's best practices, and cybersecurity protocols. Contribute to improving development processes, best practices, and team knowledge through code reviews and process enhancement discussions. Document technical solutions and prepare end user manuals as required. Ability and eligibility to obtain and maintain a National Security clearance. Technical Responsibilities Design, develop, and maintain secure, scalable, and maintainable codebases using C# .NET, Python, and Angular. Architect, build, and optimize backend services, APIs, and robust interfaces for API interactions, SDKs, and client-facing features. Develop and maintain web user interfaces using Angular, focusing on usability, performance, and security. Administer and optimize PostgreSQL databases, including schema design, query optimization, and data migration. Engage in self-directed research to innovate and implement new product features aligned with industry standards. Participate in technical design discussions, code reviews, and continuous integration/delivery processes. Qualifications Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Preferred Additional Skills Background or strong understanding in UI/UX design and principles. Exposure to or hands-on experience with DevOps practices and toolchains. Familiarity with cybersecurity principles and secure coding best practices. Experience with event-driven frameworks (e.g., gRPC, SignalR) and containerization (Docker, Kubernetes). Knowledge of mobile application development for Android/iOS. Ability to read, interoperate, and understand lower-level code in C or C++. Experience working in distributed, secure, or high-availability system environments. Proven experience as a Full-Stack Software Engineer with a comprehensive project portfolio. Strong grasp of object-oriented programming principles, design patterns, and large distributed system architecture. Proficient in C#/.NET (5+), cross-platform development (Linux/Windows/MacOS), and relational databases (PostgreSQL). Hands-on experience with unit/integration testing, comprehensive documentation, API design and development. Familiarity with Python; TypeScript/JavaScript (especially Angular or similar frameworks); and performance/memory analysis tools. Comfortable with Source Control and CI/CD systems. Experience working in Agile environments (Scrum/Kanban) and with inter-process communication (e.g., TCP, SSL, RabbitMQ). In compliance with pay transparency requirements, the salary range for this role in Washington D.C. is $111,500 - $207,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Software Engineer/Data Analyst Job Code: 40175 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: We are seeking a highly skilled and motivated Software Engineer/Data Analyst to join our team. The ideal candidate will hold an active TS/SCI clearance. Periodic commute to Patrick Space Force Base may be required. The successful candidate will be responsible for modernizing and migrating analytics applications into a high-performance web application using modern web technologies. Essential Functions: Design, develop, test, and maintain full stack applications, including user-facing interfaces, back-end services, APIs, and data integrations. Build modern, responsive, and intuitive front-end solutions using current web development frameworks and best practices. Develop secure and scalable back-end services and application logic to support mission applications and workflows. Deploy and maintain applications in AWS, ensuring solutions are scalable, secure, resilient, and cost-effective. Integrate cloud-native services, databases, and application components across distributed environments. Apply software engineering best practices across the full development lifecycle, including code reviews, automated testing, version control, and CI/CD pipelines. Collaborate with system engineers, cloud engineers, cyber teams, and mission stakeholders to define requirements and deliver end-to-end solutions. Engage in daily interaction with customers to understand operational needs, gather feedback, and refine application functionality. Prepare architectural designs, implementation plans, and technical roadmaps that align with organizational and mission goals. Produce and maintain technical documentation for system design, application architecture, deployment procedures, and sustainment activities. Deliver professional presentations and technical briefings to stakeholders, translating complex concepts into clear and actionable information. Support a variety of mission areas and adapt to evolving priorities in a dynamic operational environment. Familiarity with the C2S Access Portal (CAP) and high-side AWS environments. Familiarity with databases such as PostgreSQL, MySQL, SQL Server, DynamoDB, or other relational/non-relational data stores. Security+ Certification or any DoD IAT Level II Certification, or ability to obtain certification within 6 months of accepting position. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: Experience developing AI/ML-enabled mission applications, analytical tools, or decision-support capabilities involving advanced data processing, automation, visualization, and user interaction. Experience with scientific, sensor-derived, geophysical, acoustic, seismic, infrasonic, or other mission-relevant technical data is highly desired. Experience as a Full Stack Developer with proficiency in front-end, back-end, and cloud-based application development. Proficiency with modern front-end technologies such as React, Angular, Vue, JavaScript/TypeScript, HTML, and CSS. Experience developing back-end services and APIs using languages/frameworks such as Java, Python, Node.js, .NET, or similar. Experience with RESTful APIs, microservices, and application integration patterns. Experience with Git, CI/CD pipelines, automated testing, and DevSecOps practices. Experience transitioning research or prototype capabilities into operational software tools, supporting classified DoD mission environments strongly preferred. Experience building and deploying mission applications in classified or high-security environments. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Knowledge of infrastructure as code tools such as Terraform, CloudFormation, or similar. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
08/24/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Software Engineer/Data Analyst Job Code: 40175 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: We are seeking a highly skilled and motivated Software Engineer/Data Analyst to join our team. The ideal candidate will hold an active TS/SCI clearance. Periodic commute to Patrick Space Force Base may be required. The successful candidate will be responsible for modernizing and migrating analytics applications into a high-performance web application using modern web technologies. Essential Functions: Design, develop, test, and maintain full stack applications, including user-facing interfaces, back-end services, APIs, and data integrations. Build modern, responsive, and intuitive front-end solutions using current web development frameworks and best practices. Develop secure and scalable back-end services and application logic to support mission applications and workflows. Deploy and maintain applications in AWS, ensuring solutions are scalable, secure, resilient, and cost-effective. Integrate cloud-native services, databases, and application components across distributed environments. Apply software engineering best practices across the full development lifecycle, including code reviews, automated testing, version control, and CI/CD pipelines. Collaborate with system engineers, cloud engineers, cyber teams, and mission stakeholders to define requirements and deliver end-to-end solutions. Engage in daily interaction with customers to understand operational needs, gather feedback, and refine application functionality. Prepare architectural designs, implementation plans, and technical roadmaps that align with organizational and mission goals. Produce and maintain technical documentation for system design, application architecture, deployment procedures, and sustainment activities. Deliver professional presentations and technical briefings to stakeholders, translating complex concepts into clear and actionable information. Support a variety of mission areas and adapt to evolving priorities in a dynamic operational environment. Familiarity with the C2S Access Portal (CAP) and high-side AWS environments. Familiarity with databases such as PostgreSQL, MySQL, SQL Server, DynamoDB, or other relational/non-relational data stores. Security+ Certification or any DoD IAT Level II Certification, or ability to obtain certification within 6 months of accepting position. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: Experience developing AI/ML-enabled mission applications, analytical tools, or decision-support capabilities involving advanced data processing, automation, visualization, and user interaction. Experience with scientific, sensor-derived, geophysical, acoustic, seismic, infrasonic, or other mission-relevant technical data is highly desired. Experience as a Full Stack Developer with proficiency in front-end, back-end, and cloud-based application development. Proficiency with modern front-end technologies such as React, Angular, Vue, JavaScript/TypeScript, HTML, and CSS. Experience developing back-end services and APIs using languages/frameworks such as Java, Python, Node.js, .NET, or similar. Experience with RESTful APIs, microservices, and application integration patterns. Experience with Git, CI/CD pipelines, automated testing, and DevSecOps practices. Experience transitioning research or prototype capabilities into operational software tools, supporting classified DoD mission environments strongly preferred. Experience building and deploying mission applications in classified or high-security environments. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Knowledge of infrastructure as code tools such as Terraform, CloudFormation, or similar. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Software Engineer Job Code: 40955 Job Location: Palm Bay, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: We are seeking a Software Engineer in Palm Bay, Florida to design, develop, integrate, and sustain mission-focused software solutions. In this role, you'll work across a diverse technical landscape from embedded software and backend services to web applications, containerized environments, and DevOps workflows. The ideal candidate thrives in varied technical environments and brings experience with technologies including C++, Python, JavaScript, React, and Docker-based development. You'll play a key role in supporting secure, mission-critical programs that make a real impact. Essential Functions: Contribute to the design, development, integration, test, and sustainment of software solutions across embedded systems, backend services, and web-based applications. Develop and maintain software using technologies such as C++, Python, JavaScript, and React in support of mission and program requirements. Support containerized development and deployment workflows using Docker and established DevOps practices to improve delivery efficiency, consistency, and reliability. Collaborate with systems engineering, software engineering, integration, and program teams to implement technical solutions aligned with operational and customer needs. Participate in software troubleshooting, defect resolution, performance improvement, and technical problem solving across the development lifecycle. Create and maintain technical documentation, code artifacts, and engineering products that support integration, testing, deployment, and long-term sustainment. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active TS/SCI is required. Preferred Additional Skills: Active TS/SCI w CI Polygraph. Experience contributing across both embedded and web application environments. Experience with React and modern JavaScript development for user-facing applications. Experience with DevOps practices, CI/CD workflows, and containerized software delivery. Experience developing or integrating software in Linux-based environments. Experience in software engineering for one or more of the following areas: embedded software, backend services, full stack applications, or web application development. Hands-on development experience with one or more relevant programming languages such as C++, Python, or JavaScript. Experience working with modern software development practices, including version control, code reviews, debugging, and automated build or test workflows. Familiarity with Docker-based development environments, containerized applications, or DevOps-oriented software delivery practices. Ability to contribute effectively as an individual contributor on a technical team supporting secure, mission-focused software programs. S1 L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
08/24/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Software Engineer Job Code: 40955 Job Location: Palm Bay, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: We are seeking a Software Engineer in Palm Bay, Florida to design, develop, integrate, and sustain mission-focused software solutions. In this role, you'll work across a diverse technical landscape from embedded software and backend services to web applications, containerized environments, and DevOps workflows. The ideal candidate thrives in varied technical environments and brings experience with technologies including C++, Python, JavaScript, React, and Docker-based development. You'll play a key role in supporting secure, mission-critical programs that make a real impact. Essential Functions: Contribute to the design, development, integration, test, and sustainment of software solutions across embedded systems, backend services, and web-based applications. Develop and maintain software using technologies such as C++, Python, JavaScript, and React in support of mission and program requirements. Support containerized development and deployment workflows using Docker and established DevOps practices to improve delivery efficiency, consistency, and reliability. Collaborate with systems engineering, software engineering, integration, and program teams to implement technical solutions aligned with operational and customer needs. Participate in software troubleshooting, defect resolution, performance improvement, and technical problem solving across the development lifecycle. Create and maintain technical documentation, code artifacts, and engineering products that support integration, testing, deployment, and long-term sustainment. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active TS/SCI is required. Preferred Additional Skills: Active TS/SCI w CI Polygraph. Experience contributing across both embedded and web application environments. Experience with React and modern JavaScript development for user-facing applications. Experience with DevOps practices, CI/CD workflows, and containerized software delivery. Experience developing or integrating software in Linux-based environments. Experience in software engineering for one or more of the following areas: embedded software, backend services, full stack applications, or web application development. Hands-on development experience with one or more relevant programming languages such as C++, Python, or JavaScript. Experience working with modern software development practices, including version control, code reviews, debugging, and automated build or test workflows. Familiarity with Docker-based development environments, containerized applications, or DevOps-oriented software delivery practices. Ability to contribute effectively as an individual contributor on a technical team supporting secure, mission-focused software programs. S1 L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Systems Engineer - Information Security Job Code: 40753 Job Location: Greenville, TX Job Schedule: 9/80 - Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off. Job Description: Information Systems Security Engineer (ISSE) is part of a team which establishes, supports, and coordinates tasks related to Cybersecurity and Assessment & Authorization (A&A) to obtain and maintain Authorizations to Operate (ATOs) for delivered systems via the NIST 800 Series Risk Management Framework (RMF). This position is part of a larger customer Information Assurance team, coordinating L3Harris efforts supporting the Information Owner, and assisting the ISSM, to implement actions needed to document current/future baselines and new capabilities in the NIST/RMF-approved process. Essential Functions: Participate in risk and vulnerability assessments (as required) of information systems to identify vulnerabilities, risks, and protection needs, coordinate L3H efforts to develop Security Impact Assessments (SIAs) of proposed system modifications for submittal to the ISSM. This position combines an understanding of both software engineering and hardware engineering. Prepare and present technical results for internal and external program meetings. Develop, track and present technical metrics. Understanding of hardware level interdependencies for Infrastructure, Network, & Mission Processor requirements between multiple devices as well as understanding how software works in conjunction with hardware interdependencies. Manage requirements in either DOORS or JIRA through all phases of the project. Communicates within and outside of the organization to influence leadership to accept new practices, approaches, and concepts. Track all assigned systems for A&A (Assessment and Authorization) status and oversee accreditation/reaccreditation actions. Responsible for improving upon existing processes or establishing new processes and systems. Work cross-functionally to ensure security requirements are addressed throughout the mission system development lifecycle. Perform security compliance scans, vulnerability analysis, and drive identified issues resolution. Performs periodic vulnerability scans of networks to identify security vulnerabilities and provides remediation alternatives and conducts security risk assessments to ensure compliance with corporate security policies and adherence to best practices. Develop and maintain ATO Body of Evidence artifacts. Work is 100% on-site and CANNOT be accomplished remotely. Active DoD Secret Clearance with ability to obtain Top-Secret Clearance. Qualifications: Bachelor's degree in engineering (Cybersecurity, Computer Science, Electrical, Mechanical, Systems, Software, Physics, etc.) and minimum 6 years of prior related experience. Graduate Degree and a minimum of 4 years of prior relevant experience. In lieu of a degree, a minimum of 10 years of prior related experience. Experience in design, development, and fielding of Systems Security Engineering (SSE) systems. Experience translating NIST 800-53 security controls into functional requirements that product teams can implement. Experience in drafting Systems Security Engineering Requirements and effectively communicating these requirements with other groups. Experience with the Risk Management Framework (RMF) process to include NIST and DoD standards. Experience with drafting security documents for various security certifications. Preferred Additional Skills: Proposal Development. Demonstrated understanding of networking. Experience or proficiency with Linux administration, Bash scripting, Python, Windows PowerShell, Windows administration, Nessus, Wireshark, Nmap, Elastic Stack (Elasticsearch, Logstash and Kibana (ELK . Demonstrated understanding of Linux audit and logging system architecture. Demonstrated understanding of directory services - Active Directory and LDAP. Demonstrated understanding computer networking and familiarity with NIST publications. Experience in application hardening through code scanning (with tools like Coverity/Fortify) and mitigating findings. Top Secret/SCI clearance or DOD Top Secret with current SSBI within the last 5 years. Experience with eMass and/or Xacta. Knowledge of deployment logistics for DoD systems, including transport, setup, and integration in austere or contested environments. Familiarity with DoD acquisition processes and exercise planning frameworks. Experience with network configuration, data links (e.g., Link 16), or edge computing in operational settings. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
08/24/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Systems Engineer - Information Security Job Code: 40753 Job Location: Greenville, TX Job Schedule: 9/80 - Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off. Job Description: Information Systems Security Engineer (ISSE) is part of a team which establishes, supports, and coordinates tasks related to Cybersecurity and Assessment & Authorization (A&A) to obtain and maintain Authorizations to Operate (ATOs) for delivered systems via the NIST 800 Series Risk Management Framework (RMF). This position is part of a larger customer Information Assurance team, coordinating L3Harris efforts supporting the Information Owner, and assisting the ISSM, to implement actions needed to document current/future baselines and new capabilities in the NIST/RMF-approved process. Essential Functions: Participate in risk and vulnerability assessments (as required) of information systems to identify vulnerabilities, risks, and protection needs, coordinate L3H efforts to develop Security Impact Assessments (SIAs) of proposed system modifications for submittal to the ISSM. This position combines an understanding of both software engineering and hardware engineering. Prepare and present technical results for internal and external program meetings. Develop, track and present technical metrics. Understanding of hardware level interdependencies for Infrastructure, Network, & Mission Processor requirements between multiple devices as well as understanding how software works in conjunction with hardware interdependencies. Manage requirements in either DOORS or JIRA through all phases of the project. Communicates within and outside of the organization to influence leadership to accept new practices, approaches, and concepts. Track all assigned systems for A&A (Assessment and Authorization) status and oversee accreditation/reaccreditation actions. Responsible for improving upon existing processes or establishing new processes and systems. Work cross-functionally to ensure security requirements are addressed throughout the mission system development lifecycle. Perform security compliance scans, vulnerability analysis, and drive identified issues resolution. Performs periodic vulnerability scans of networks to identify security vulnerabilities and provides remediation alternatives and conducts security risk assessments to ensure compliance with corporate security policies and adherence to best practices. Develop and maintain ATO Body of Evidence artifacts. Work is 100% on-site and CANNOT be accomplished remotely. Active DoD Secret Clearance with ability to obtain Top-Secret Clearance. Qualifications: Bachelor's degree in engineering (Cybersecurity, Computer Science, Electrical, Mechanical, Systems, Software, Physics, etc.) and minimum 6 years of prior related experience. Graduate Degree and a minimum of 4 years of prior relevant experience. In lieu of a degree, a minimum of 10 years of prior related experience. Experience in design, development, and fielding of Systems Security Engineering (SSE) systems. Experience translating NIST 800-53 security controls into functional requirements that product teams can implement. Experience in drafting Systems Security Engineering Requirements and effectively communicating these requirements with other groups. Experience with the Risk Management Framework (RMF) process to include NIST and DoD standards. Experience with drafting security documents for various security certifications. Preferred Additional Skills: Proposal Development. Demonstrated understanding of networking. Experience or proficiency with Linux administration, Bash scripting, Python, Windows PowerShell, Windows administration, Nessus, Wireshark, Nmap, Elastic Stack (Elasticsearch, Logstash and Kibana (ELK . Demonstrated understanding of Linux audit and logging system architecture. Demonstrated understanding of directory services - Active Directory and LDAP. Demonstrated understanding computer networking and familiarity with NIST publications. Experience in application hardening through code scanning (with tools like Coverity/Fortify) and mitigating findings. Top Secret/SCI clearance or DOD Top Secret with current SSBI within the last 5 years. Experience with eMass and/or Xacta. Knowledge of deployment logistics for DoD systems, including transport, setup, and integration in austere or contested environments. Familiarity with DoD acquisition processes and exercise planning frameworks. Experience with network configuration, data links (e.g., Link 16), or edge computing in operational settings. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Full Stack Engineer Job Code: 40003 Job Location: Washington DC Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: Working at Trenchant means working alongside the best security researchers and product engineers from across the security research and intelligence communities. You will be engaged on the most challenging problems in the toughest environments and delivering solutions supporting the cutting edge of cyber security research. We are seeking a highly motivated and experienced Full-Stack Software Engineer with deep expertise across a range of technologies. This role requires a unique blend of technical acumen, leadership abilities, and the discipline to deliver high-quality software under tight deadlines. We are a small team that achieves world-changing results and is driven to provide unparalleled cyber capability by utilizing technical prowess, innovation and our commitment to a noble mission. The Senior Full Stack Engineer's role is to engineer, design, execute, assess, and troubleshoot software programs and applications. This includes configuring, coding, developing, and documenting software specifications throughout the project life cycle. The individual will be responsible for designing, implementing, and deploying distributed server-side solutions and user interfaces. Essential Functions Participate in all phases of the software development lifecycle (SDLC), from requirements gathering and design to testing, deployment, maintenance, and documentation. Collaborate with globally distributed, cross-functional Agile teams, engaging closely with product managers, team members, and stakeholders. Diagnose, troubleshoot, and resolve software defects and performance issues across the technology stack. Ensure all code is well-tested using unit, integration, and system-level testing methodologies. Stay current with the latest software development trends, industry's best practices, and cybersecurity protocols. Contribute to improving development processes, best practices, and team knowledge through code reviews and process enhancement discussions. Document technical solutions and prepare end user manuals as required. Ability and eligibility to obtain and maintain a National Security clearance. Technical Responsibilities Design, develop, and maintain secure, scalable, and maintainable codebases using C# .NET, Python, and Angular. Architect, build, and optimize backend services, APIs, and robust interfaces for API interactions, SDKs, and client-facing features. Develop and maintain web user interfaces using Angular, focusing on usability, performance, and security. Administer and optimize PostgreSQL databases, including schema design, query optimization, and data migration. Engage in self-directed research to innovate and implement new product features aligned with industry standards. Participate in technical design discussions, code reviews, and continuous integration/delivery processes. Qualifications Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Preferred Additional Skills Background or strong understanding in UI/UX design and principles. Exposure to or hands-on experience with DevOps practices and toolchains. Familiarity with cybersecurity principles and secure coding best practices. Experience with event-driven frameworks (e.g., gRPC, SignalR) and containerization (Docker, Kubernetes). Knowledge of mobile application development for Android/iOS. Ability to read, interoperate, and understand lower-level code in C or C++. Experience working in distributed, secure, or high-availability system environments. Proven experience as a Full-Stack Software Engineer with a comprehensive project portfolio. Strong grasp of object-oriented programming principles, design patterns, and large distributed system architecture. Proficient in C#/.NET (5+), cross-platform development (Linux/Windows/MacOS), and relational databases (PostgreSQL). Hands-on experience with unit/integration testing, comprehensive documentation, API design and development. Familiarity with Python; TypeScript/JavaScript (especially Angular or similar frameworks); and performance/memory analysis tools. Comfortable with Source Control and CI/CD systems. Experience working in Agile environments (Scrum/Kanban) and with inter-process communication (e.g., TCP, SSL, RabbitMQ). In compliance with pay transparency requirements, the salary range for this role in Washington D.C. is $111,500 - $207,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
08/24/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Full Stack Engineer Job Code: 40003 Job Location: Washington DC Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: Working at Trenchant means working alongside the best security researchers and product engineers from across the security research and intelligence communities. You will be engaged on the most challenging problems in the toughest environments and delivering solutions supporting the cutting edge of cyber security research. We are seeking a highly motivated and experienced Full-Stack Software Engineer with deep expertise across a range of technologies. This role requires a unique blend of technical acumen, leadership abilities, and the discipline to deliver high-quality software under tight deadlines. We are a small team that achieves world-changing results and is driven to provide unparalleled cyber capability by utilizing technical prowess, innovation and our commitment to a noble mission. The Senior Full Stack Engineer's role is to engineer, design, execute, assess, and troubleshoot software programs and applications. This includes configuring, coding, developing, and documenting software specifications throughout the project life cycle. The individual will be responsible for designing, implementing, and deploying distributed server-side solutions and user interfaces. Essential Functions Participate in all phases of the software development lifecycle (SDLC), from requirements gathering and design to testing, deployment, maintenance, and documentation. Collaborate with globally distributed, cross-functional Agile teams, engaging closely with product managers, team members, and stakeholders. Diagnose, troubleshoot, and resolve software defects and performance issues across the technology stack. Ensure all code is well-tested using unit, integration, and system-level testing methodologies. Stay current with the latest software development trends, industry's best practices, and cybersecurity protocols. Contribute to improving development processes, best practices, and team knowledge through code reviews and process enhancement discussions. Document technical solutions and prepare end user manuals as required. Ability and eligibility to obtain and maintain a National Security clearance. Technical Responsibilities Design, develop, and maintain secure, scalable, and maintainable codebases using C# .NET, Python, and Angular. Architect, build, and optimize backend services, APIs, and robust interfaces for API interactions, SDKs, and client-facing features. Develop and maintain web user interfaces using Angular, focusing on usability, performance, and security. Administer and optimize PostgreSQL databases, including schema design, query optimization, and data migration. Engage in self-directed research to innovate and implement new product features aligned with industry standards. Participate in technical design discussions, code reviews, and continuous integration/delivery processes. Qualifications Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Preferred Additional Skills Background or strong understanding in UI/UX design and principles. Exposure to or hands-on experience with DevOps practices and toolchains. Familiarity with cybersecurity principles and secure coding best practices. Experience with event-driven frameworks (e.g., gRPC, SignalR) and containerization (Docker, Kubernetes). Knowledge of mobile application development for Android/iOS. Ability to read, interoperate, and understand lower-level code in C or C++. Experience working in distributed, secure, or high-availability system environments. Proven experience as a Full-Stack Software Engineer with a comprehensive project portfolio. Strong grasp of object-oriented programming principles, design patterns, and large distributed system architecture. Proficient in C#/.NET (5+), cross-platform development (Linux/Windows/MacOS), and relational databases (PostgreSQL). Hands-on experience with unit/integration testing, comprehensive documentation, API design and development. Familiarity with Python; TypeScript/JavaScript (especially Angular or similar frameworks); and performance/memory analysis tools. Comfortable with Source Control and CI/CD systems. Experience working in Agile environments (Scrum/Kanban) and with inter-process communication (e.g., TCP, SSL, RabbitMQ). In compliance with pay transparency requirements, the salary range for this role in Washington D.C. is $111,500 - $207,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Software Engineer/Data Analyst Job Code: 40175 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: We are seeking a highly skilled and motivated Software Engineer/Data Analyst to join our team. The ideal candidate will hold an active TS/SCI clearance. Periodic commute to Patrick Space Force Base may be required. The successful candidate will be responsible for modernizing and migrating analytics applications into a high-performance web application using modern web technologies. Essential Functions: Design, develop, test, and maintain full stack applications, including user-facing interfaces, back-end services, APIs, and data integrations. Build modern, responsive, and intuitive front-end solutions using current web development frameworks and best practices. Develop secure and scalable back-end services and application logic to support mission applications and workflows. Deploy and maintain applications in AWS, ensuring solutions are scalable, secure, resilient, and cost-effective. Integrate cloud-native services, databases, and application components across distributed environments. Apply software engineering best practices across the full development lifecycle, including code reviews, automated testing, version control, and CI/CD pipelines. Collaborate with system engineers, cloud engineers, cyber teams, and mission stakeholders to define requirements and deliver end-to-end solutions. Engage in daily interaction with customers to understand operational needs, gather feedback, and refine application functionality. Prepare architectural designs, implementation plans, and technical roadmaps that align with organizational and mission goals. Produce and maintain technical documentation for system design, application architecture, deployment procedures, and sustainment activities. Deliver professional presentations and technical briefings to stakeholders, translating complex concepts into clear and actionable information. Support a variety of mission areas and adapt to evolving priorities in a dynamic operational environment. Familiarity with the C2S Access Portal (CAP) and high-side AWS environments. Familiarity with databases such as PostgreSQL, MySQL, SQL Server, DynamoDB, or other relational/non-relational data stores. Security+ Certification or any DoD IAT Level II Certification, or ability to obtain certification within 6 months of accepting position. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: Experience developing AI/ML-enabled mission applications, analytical tools, or decision-support capabilities involving advanced data processing, automation, visualization, and user interaction. Experience with scientific, sensor-derived, geophysical, acoustic, seismic, infrasonic, or other mission-relevant technical data is highly desired. Experience as a Full Stack Developer with proficiency in front-end, back-end, and cloud-based application development. Proficiency with modern front-end technologies such as React, Angular, Vue, JavaScript/TypeScript, HTML, and CSS. Experience developing back-end services and APIs using languages/frameworks such as Java, Python, Node.js, .NET, or similar. Experience with RESTful APIs, microservices, and application integration patterns. Experience with Git, CI/CD pipelines, automated testing, and DevSecOps practices. Experience transitioning research or prototype capabilities into operational software tools, supporting classified DoD mission environments strongly preferred. Experience building and deploying mission applications in classified or high-security environments. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Knowledge of infrastructure as code tools such as Terraform, CloudFormation, or similar. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
08/24/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Software Engineer/Data Analyst Job Code: 40175 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: We are seeking a highly skilled and motivated Software Engineer/Data Analyst to join our team. The ideal candidate will hold an active TS/SCI clearance. Periodic commute to Patrick Space Force Base may be required. The successful candidate will be responsible for modernizing and migrating analytics applications into a high-performance web application using modern web technologies. Essential Functions: Design, develop, test, and maintain full stack applications, including user-facing interfaces, back-end services, APIs, and data integrations. Build modern, responsive, and intuitive front-end solutions using current web development frameworks and best practices. Develop secure and scalable back-end services and application logic to support mission applications and workflows. Deploy and maintain applications in AWS, ensuring solutions are scalable, secure, resilient, and cost-effective. Integrate cloud-native services, databases, and application components across distributed environments. Apply software engineering best practices across the full development lifecycle, including code reviews, automated testing, version control, and CI/CD pipelines. Collaborate with system engineers, cloud engineers, cyber teams, and mission stakeholders to define requirements and deliver end-to-end solutions. Engage in daily interaction with customers to understand operational needs, gather feedback, and refine application functionality. Prepare architectural designs, implementation plans, and technical roadmaps that align with organizational and mission goals. Produce and maintain technical documentation for system design, application architecture, deployment procedures, and sustainment activities. Deliver professional presentations and technical briefings to stakeholders, translating complex concepts into clear and actionable information. Support a variety of mission areas and adapt to evolving priorities in a dynamic operational environment. Familiarity with the C2S Access Portal (CAP) and high-side AWS environments. Familiarity with databases such as PostgreSQL, MySQL, SQL Server, DynamoDB, or other relational/non-relational data stores. Security+ Certification or any DoD IAT Level II Certification, or ability to obtain certification within 6 months of accepting position. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: Experience developing AI/ML-enabled mission applications, analytical tools, or decision-support capabilities involving advanced data processing, automation, visualization, and user interaction. Experience with scientific, sensor-derived, geophysical, acoustic, seismic, infrasonic, or other mission-relevant technical data is highly desired. Experience as a Full Stack Developer with proficiency in front-end, back-end, and cloud-based application development. Proficiency with modern front-end technologies such as React, Angular, Vue, JavaScript/TypeScript, HTML, and CSS. Experience developing back-end services and APIs using languages/frameworks such as Java, Python, Node.js, .NET, or similar. Experience with RESTful APIs, microservices, and application integration patterns. Experience with Git, CI/CD pipelines, automated testing, and DevSecOps practices. Experience transitioning research or prototype capabilities into operational software tools, supporting classified DoD mission environments strongly preferred. Experience building and deploying mission applications in classified or high-security environments. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Knowledge of infrastructure as code tools such as Terraform, CloudFormation, or similar. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Senior Lead AI Engineer (GenAI Platform Services)Overview:At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peersCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/23/2026
Senior Lead AI Engineer (GenAI Platform Services)Overview:At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peersCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Description Description Our customer is an innovative, established global company with a start-up culture that provides a range of wireless communications solutions and specialize in mission critical infrastructure. They have a large presence internationally, and are continuing to expand and grow their North American presence. The North American group has consistently grown through various large carrier contracts (Example: AT&T FirstNet) and they are quickly approaching the deployment of new hardware/software and applications which is driving the need to add to the team. Our customer is currently looking to expand the team at their Annapolis location to add a Sr. Telecomm Network Administrator to support the deployment/"Go-Live" of their hardware/applications (Interworking function) at an increased scale. The Network Admin will be a core member of their 24/7/365 Operations team to provide Tier 3 layer support for networking and IT administration for ECS (Emergency Communication Service). The network admins day- to- day can vary, but duties are not limited to the following: 1- serve as a point of escalation, 2. Diagnose, Troubleshoot, or escalate tickets, 3. Proactively monitor systems, 4. Assess performance and perform upgrades, 5. Maintain and create SOP's for responses and troubleshooting, maintain/administer accounts, test/deploy software, etc The day to day and variation of duties will be heavier on responsiveness to the Go-Live date. Depending on volume, various duties can be peeled off (again, start up environment where they have the autonomy to scale if needed) You will design (More optimization as the design is already completed), implement, and maintain network operations across Etherstack's global offices and cloud deployments, with a strong DevOps mindset - automating workflows, managing infrastructure as code, and building repeatable, resilient processes. You will be responsible for maintaining comprehensive documentation of IT policies, procedures, hardware, and software. Key Responsibility Areas 1. Provide L3 technical support through Etherstack's 24/7/365 service desk, including on-call rotations and shift-based coverage; respond to, triage, escalate, and resolve incidents in accordance with defined SLAs. 2. Proactively monitor all IT systems, networks, and cloud infrastructure using observability tooling; identify and remediate issues before they impact operations. 3. Ensure IT systems meet security and compliance standards; plan and execute upgrades, patches, and hardening activities. 4. Maintain and administer user accounts, access controls, and application software licenses. 5. Conduct regular audits of IT systems and software; maintain an accurate, up-to-date asset register. 6. Document policies, procedures, infrastructure, and system configurations to a professional standard. 7. Analyze, test, and deploy software patches and updates in a controlled, risk-managed manner. 8. Provide technical guidance and mentorship to junior team members; contribute to knowledge base articles and training materials. Required Qualifications 1. Bachelor's degree in a field related to IT, computer science, or telecommunications. (Relevant years of experience will suffice as well) 2. Juniper Engineer level certification in both Routing and Switching (JNCIP) and Network Security (JNCIP-SEC). (Again this is desired, but not mandatory as they can have the experience with other manufacturers). 3. Red Hat Certified Engineer (RHCE), and Red Hat Certified Specialist in Security certifications. (Cert is desired, but not mandatory) Skills Router, Switches, juniper, redhat, linux red hat, telecommunications systems, 3GPP, Network engineering, Troubleshooting, Wireless Top Skills Details Router,Switches,juniper,redhat,linux red hat,telecommunications systems,3GPP,Network engineering Additional Skills & Qualifications This is a on-site position that can eventually move to a hybrid schedule. Resource should expect to be on-site for the first 6 months or so, but then move to a hybrid schedule once up to speed of 3 days in office and 2 days remote. While this is a 24X7 NOC, this resource will be supporting the North American "day shift" as their partner across the globe will pick up the other shifts. Required Skills 1. Excellent written and oral English communication skills, including the ability to write clear incident reports and post-mortems. 2. Ability to remain composed and make sound decisions under pressure during critical incidents; strong professional relationship skills in a fast-paced, always-on environment. 3. Routing & Switching: Deep expertise in IP routing and switching, including MPLS, BGP, OSPF, EIGRP, RIP, Multicast, VLANs, Inter-VLANs, Spanning Tree, BFD, VXLAN, eVPN, IS-IS, and VRRP. 4. VPN & Security: Solid experience with IPSec VPNs, SSL VPNs, and advanced firewall configuration. 5. Network Troubleshooting: Strong ability to diagnose and resolve complex, time-sensitive networking issues efficiently. 6. Systems Administration: Installation, configuration, hardening, maintenance, and patching of network and server infrastructure; advanced troubleshooting in disk/storage management including LVM, RAW, XFS, EXT4, and BTRFS. 7. Monitoring & Observability: Configuring, troubleshooting, and managing systems including Grafana, Prometheus, Elasticsearch, and related tooling. 8. DevOps Practices: Familiarity with Git-based workflows and automated deployment strategies in production environments. Highly regarded: - Cloud Certifications, Cyber Certs, There is an on-call rotation but we are working on the logistics for that. Once perm there is opportunity to travel international but not mandatory. Experience Level Expert Level Job Type & Location This is a Contract to Hire position based out of Annapolis, MD. Pay and Benefits The pay range for this position is $60.00 - $75.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Annapolis,MD. Application Deadline This position is anticipated to close on Aug 28, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): . click apply for full job details
08/22/2026
Full time
Job Description Description Our customer is an innovative, established global company with a start-up culture that provides a range of wireless communications solutions and specialize in mission critical infrastructure. They have a large presence internationally, and are continuing to expand and grow their North American presence. The North American group has consistently grown through various large carrier contracts (Example: AT&T FirstNet) and they are quickly approaching the deployment of new hardware/software and applications which is driving the need to add to the team. Our customer is currently looking to expand the team at their Annapolis location to add a Sr. Telecomm Network Administrator to support the deployment/"Go-Live" of their hardware/applications (Interworking function) at an increased scale. The Network Admin will be a core member of their 24/7/365 Operations team to provide Tier 3 layer support for networking and IT administration for ECS (Emergency Communication Service). The network admins day- to- day can vary, but duties are not limited to the following: 1- serve as a point of escalation, 2. Diagnose, Troubleshoot, or escalate tickets, 3. Proactively monitor systems, 4. Assess performance and perform upgrades, 5. Maintain and create SOP's for responses and troubleshooting, maintain/administer accounts, test/deploy software, etc The day to day and variation of duties will be heavier on responsiveness to the Go-Live date. Depending on volume, various duties can be peeled off (again, start up environment where they have the autonomy to scale if needed) You will design (More optimization as the design is already completed), implement, and maintain network operations across Etherstack's global offices and cloud deployments, with a strong DevOps mindset - automating workflows, managing infrastructure as code, and building repeatable, resilient processes. You will be responsible for maintaining comprehensive documentation of IT policies, procedures, hardware, and software. Key Responsibility Areas 1. Provide L3 technical support through Etherstack's 24/7/365 service desk, including on-call rotations and shift-based coverage; respond to, triage, escalate, and resolve incidents in accordance with defined SLAs. 2. Proactively monitor all IT systems, networks, and cloud infrastructure using observability tooling; identify and remediate issues before they impact operations. 3. Ensure IT systems meet security and compliance standards; plan and execute upgrades, patches, and hardening activities. 4. Maintain and administer user accounts, access controls, and application software licenses. 5. Conduct regular audits of IT systems and software; maintain an accurate, up-to-date asset register. 6. Document policies, procedures, infrastructure, and system configurations to a professional standard. 7. Analyze, test, and deploy software patches and updates in a controlled, risk-managed manner. 8. Provide technical guidance and mentorship to junior team members; contribute to knowledge base articles and training materials. Required Qualifications 1. Bachelor's degree in a field related to IT, computer science, or telecommunications. (Relevant years of experience will suffice as well) 2. Juniper Engineer level certification in both Routing and Switching (JNCIP) and Network Security (JNCIP-SEC). (Again this is desired, but not mandatory as they can have the experience with other manufacturers). 3. Red Hat Certified Engineer (RHCE), and Red Hat Certified Specialist in Security certifications. (Cert is desired, but not mandatory) Skills Router, Switches, juniper, redhat, linux red hat, telecommunications systems, 3GPP, Network engineering, Troubleshooting, Wireless Top Skills Details Router,Switches,juniper,redhat,linux red hat,telecommunications systems,3GPP,Network engineering Additional Skills & Qualifications This is a on-site position that can eventually move to a hybrid schedule. Resource should expect to be on-site for the first 6 months or so, but then move to a hybrid schedule once up to speed of 3 days in office and 2 days remote. While this is a 24X7 NOC, this resource will be supporting the North American "day shift" as their partner across the globe will pick up the other shifts. Required Skills 1. Excellent written and oral English communication skills, including the ability to write clear incident reports and post-mortems. 2. Ability to remain composed and make sound decisions under pressure during critical incidents; strong professional relationship skills in a fast-paced, always-on environment. 3. Routing & Switching: Deep expertise in IP routing and switching, including MPLS, BGP, OSPF, EIGRP, RIP, Multicast, VLANs, Inter-VLANs, Spanning Tree, BFD, VXLAN, eVPN, IS-IS, and VRRP. 4. VPN & Security: Solid experience with IPSec VPNs, SSL VPNs, and advanced firewall configuration. 5. Network Troubleshooting: Strong ability to diagnose and resolve complex, time-sensitive networking issues efficiently. 6. Systems Administration: Installation, configuration, hardening, maintenance, and patching of network and server infrastructure; advanced troubleshooting in disk/storage management including LVM, RAW, XFS, EXT4, and BTRFS. 7. Monitoring & Observability: Configuring, troubleshooting, and managing systems including Grafana, Prometheus, Elasticsearch, and related tooling. 8. DevOps Practices: Familiarity with Git-based workflows and automated deployment strategies in production environments. Highly regarded: - Cloud Certifications, Cyber Certs, There is an on-call rotation but we are working on the logistics for that. Once perm there is opportunity to travel international but not mandatory. Experience Level Expert Level Job Type & Location This is a Contract to Hire position based out of Annapolis, MD. Pay and Benefits The pay range for this position is $60.00 - $75.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Annapolis,MD. Application Deadline This position is anticipated to close on Aug 28, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): . click apply for full job details
Job Description Description Join the team transforming secure cloud operations for the future. We're seeking a Principal Engineer / Technical Lead to support the Compartmented Enterprise Services Office (CESO) in Arlington, VA. This effort is building a modern Secure Web Service (SWS) operation on a cutting edge, highly automated platform designed to support a rapidly expanding customer base. In this role, you'll help drive CESO's migration to a high security cloud environment, delivering key capabilities such as network and communication services, monitoring services, and system administration. If you're ready to make an impact on a mission critical DISA program and work with a team shaping the next generation of secure enterprise services, apply today! This position is based in Arlington, VA and is 100% on-site. Primary Responsibilities Engineering Experience in working on teams utilizing Agile workflows and processes Translate mission outcomes and prioritized product backlog items into technical delivery plans and sprint goals Lead development and integration of secure APIs, data pipelines (structured/unstructured) Experience with software development languages/environments such as: JavaScript. GitLab, Jenkins, Ansible Automation, Python, JavaScript, Java, PSSQL, YAML, and Terraform Develop automated CI/CD build/deployment pipelines using Jenkins, Ansible and Bitbucket. Implement DevSecOps practices, CI/CD pipelines, automated testing, observability, and security controls Implement software release version control, provide release management support throughout a software product's life cycle (initial software development through promotion to Test, QA and Production Environments), ensuring the consistency and reliability of software builds Organizational & Technical Leadership Define and drive long-term technical strategy and architectural direction across teams Oversee the design and delivery of scalable, secure, and maintainable software solutions Serve as a senior technical authority and escalation point for cross-team and cross-domain issues Champion engineering excellence, including automated testing, CI/CD, reliability, and security Establish standards, best practices, and governance for software development Guide the responsible adoption of generative AI tools across engineering teams People Management & Leadership Development Lead, manage, and develop senior engineers and technical teams Own performance management, career development, succession planning, and talent growth Build and sustain a high-performing, inclusive engineering culture Coach leaders on effective team management, delivery, and technical decision-making Delivery & Execution Own delivery outcomes across multiple Agile teams, ensuring predictability and quality Partner with product and business stakeholders to align roadmaps, priorities, and execution Ensure effective Agile practices, metrics, and continuous improvement using Jira Balance near-term delivery with long-term platform and technical investments Incorporate customer feedback, operational insights, and data to drive product improvements Cross-Functional & Executive Collaboration Act as a key engineering representative in cross-functional and leadership discussions Communicate technical vision, risks, and progress to senior leadership Influence product strategy through deep understanding of users and technical constraints Drive alignment across engineering, product, design, and operations Basic Qualifications Candidate must an active TS/SCI security clearance BA and 12+ years of experience. Additional years of experience may be considered in lieu of degree. Proven track record of leading multiple teams and delivering complex software systems Demonstrated leadership skills and attention to detail, including excellent organizational and documentation skills Strong background in automated testing, CI/CD, and modern software delivery practices Experience with software development languages/environments such as: JavaScript. GitLab, Jenkins, Ansible Automation, Python, JavaScript, Java, PSSQL, YAML, and Terraform Hands-on full-SDLC Agile Software Development experience, including full software lifecycle automation experience (design, development, test, deployment), including deployment to a production environment Experience designing, building, and deploying DevOps pipelines with Bitbucket, Git, Jenkins, Artifactory and Ansible (or equivalent tools) Exceptional leadership, communication, and stakeholder management skills Experience working in a high op-temp, top secret environment Previous experience tracking projects in Jira or equivalent Agile Project Management software Experience with the following technologies: GitHub Gradle PowerShell Java Full Stack Oracle 19c Webservices Preferred Qualifications Prior experienced with DISA and DISA's support to mission partners Experience designing, developing, and deploying software in a cloud environment (AWS preferred). If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:June 3, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at -benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
08/22/2026
Full time
Job Description Description Join the team transforming secure cloud operations for the future. We're seeking a Principal Engineer / Technical Lead to support the Compartmented Enterprise Services Office (CESO) in Arlington, VA. This effort is building a modern Secure Web Service (SWS) operation on a cutting edge, highly automated platform designed to support a rapidly expanding customer base. In this role, you'll help drive CESO's migration to a high security cloud environment, delivering key capabilities such as network and communication services, monitoring services, and system administration. If you're ready to make an impact on a mission critical DISA program and work with a team shaping the next generation of secure enterprise services, apply today! This position is based in Arlington, VA and is 100% on-site. Primary Responsibilities Engineering Experience in working on teams utilizing Agile workflows and processes Translate mission outcomes and prioritized product backlog items into technical delivery plans and sprint goals Lead development and integration of secure APIs, data pipelines (structured/unstructured) Experience with software development languages/environments such as: JavaScript. GitLab, Jenkins, Ansible Automation, Python, JavaScript, Java, PSSQL, YAML, and Terraform Develop automated CI/CD build/deployment pipelines using Jenkins, Ansible and Bitbucket. Implement DevSecOps practices, CI/CD pipelines, automated testing, observability, and security controls Implement software release version control, provide release management support throughout a software product's life cycle (initial software development through promotion to Test, QA and Production Environments), ensuring the consistency and reliability of software builds Organizational & Technical Leadership Define and drive long-term technical strategy and architectural direction across teams Oversee the design and delivery of scalable, secure, and maintainable software solutions Serve as a senior technical authority and escalation point for cross-team and cross-domain issues Champion engineering excellence, including automated testing, CI/CD, reliability, and security Establish standards, best practices, and governance for software development Guide the responsible adoption of generative AI tools across engineering teams People Management & Leadership Development Lead, manage, and develop senior engineers and technical teams Own performance management, career development, succession planning, and talent growth Build and sustain a high-performing, inclusive engineering culture Coach leaders on effective team management, delivery, and technical decision-making Delivery & Execution Own delivery outcomes across multiple Agile teams, ensuring predictability and quality Partner with product and business stakeholders to align roadmaps, priorities, and execution Ensure effective Agile practices, metrics, and continuous improvement using Jira Balance near-term delivery with long-term platform and technical investments Incorporate customer feedback, operational insights, and data to drive product improvements Cross-Functional & Executive Collaboration Act as a key engineering representative in cross-functional and leadership discussions Communicate technical vision, risks, and progress to senior leadership Influence product strategy through deep understanding of users and technical constraints Drive alignment across engineering, product, design, and operations Basic Qualifications Candidate must an active TS/SCI security clearance BA and 12+ years of experience. Additional years of experience may be considered in lieu of degree. Proven track record of leading multiple teams and delivering complex software systems Demonstrated leadership skills and attention to detail, including excellent organizational and documentation skills Strong background in automated testing, CI/CD, and modern software delivery practices Experience with software development languages/environments such as: JavaScript. GitLab, Jenkins, Ansible Automation, Python, JavaScript, Java, PSSQL, YAML, and Terraform Hands-on full-SDLC Agile Software Development experience, including full software lifecycle automation experience (design, development, test, deployment), including deployment to a production environment Experience designing, building, and deploying DevOps pipelines with Bitbucket, Git, Jenkins, Artifactory and Ansible (or equivalent tools) Exceptional leadership, communication, and stakeholder management skills Experience working in a high op-temp, top secret environment Previous experience tracking projects in Jira or equivalent Agile Project Management software Experience with the following technologies: GitHub Gradle PowerShell Java Full Stack Oracle 19c Webservices Preferred Qualifications Prior experienced with DISA and DISA's support to mission partners Experience designing, developing, and deploying software in a cloud environment (AWS preferred). If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:June 3, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at -benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
Job Description Description Our customer is an innovative, established global company with a start-up culture that provides a range of wireless communications solutions and specialize in mission critical infrastructure. They have a large presence internationally, and are continuing to expand and grow their North American presence. The North American group has consistently grown through various large carrier contracts (Example: AT&T FirstNet) and they are quickly approaching the deployment of new hardware/software and applications which is driving the need to add to the team. Our customer is currently looking to expand the team at their Annapolis location to add a Sr. Telecomm Network Administrator to support the deployment/"Go-Live" of their hardware/applications (Interworking function) at an increased scale. The Network Admin will be a core member of their 24/7/365 Operations team to provide Tier 3 layer support for networking and IT administration for ECS (Emergency Communication Service). The network admins day- to- day can vary, but duties are not limited to the following: 1- serve as a point of escalation, 2. Diagnose, Troubleshoot, or escalate tickets, 3. Proactively monitor systems, 4. Assess performance and perform upgrades, 5. Maintain and create SOP's for responses and troubleshooting, maintain/administer accounts, test/deploy software, etc The day to day and variation of duties will be heavier on responsiveness to the Go-Live date. Depending on volume, various duties can be peeled off (again, start up environment where they have the autonomy to scale if needed) You will design (More optimization as the design is already completed), implement, and maintain network operations across Etherstack's global offices and cloud deployments, with a strong DevOps mindset - automating workflows, managing infrastructure as code, and building repeatable, resilient processes. You will be responsible for maintaining comprehensive documentation of IT policies, procedures, hardware, and software. Key Responsibility Areas 1. Provide L3 technical support through Etherstack's 24/7/365 service desk, including on-call rotations and shift-based coverage; respond to, triage, escalate, and resolve incidents in accordance with defined SLAs. 2. Proactively monitor all IT systems, networks, and cloud infrastructure using observability tooling; identify and remediate issues before they impact operations. 3. Ensure IT systems meet security and compliance standards; plan and execute upgrades, patches, and hardening activities. 4. Maintain and administer user accounts, access controls, and application software licenses. 5. Conduct regular audits of IT systems and software; maintain an accurate, up-to-date asset register. 6. Document policies, procedures, infrastructure, and system configurations to a professional standard. 7. Analyze, test, and deploy software patches and updates in a controlled, risk-managed manner. 8. Provide technical guidance and mentorship to junior team members; contribute to knowledge base articles and training materials. Required Qualifications 1. Bachelor's degree in a field related to IT, computer science, or telecommunications. (Relevant years of experience will suffice as well) 2. Juniper Engineer level certification in both Routing and Switching (JNCIP) and Network Security (JNCIP-SEC). (Again this is desired, but not mandatory as they can have the experience with other manufacturers). 3. Red Hat Certified Engineer (RHCE), and Red Hat Certified Specialist in Security certifications. (Cert is desired, but not mandatory) Skills Router, Switches, juniper, redhat, linux red hat, telecommunications systems, 3GPP, Network engineering, Troubleshooting, Wireless Top Skills Details Router,Switches,juniper,redhat,linux red hat,telecommunications systems,3GPP,Network engineering Additional Skills & Qualifications This is a on-site position that can eventually move to a hybrid schedule. Resource should expect to be on-site for the first 6 months or so, but then move to a hybrid schedule once up to speed of 3 days in office and 2 days remote. While this is a 24X7 NOC, this resource will be supporting the North American "day shift" as their partner across the globe will pick up the other shifts. Required Skills 1. Excellent written and oral English communication skills, including the ability to write clear incident reports and post-mortems. 2. Ability to remain composed and make sound decisions under pressure during critical incidents; strong professional relationship skills in a fast-paced, always-on environment. 3. Routing & Switching: Deep expertise in IP routing and switching, including MPLS, BGP, OSPF, EIGRP, RIP, Multicast, VLANs, Inter-VLANs, Spanning Tree, BFD, VXLAN, eVPN, IS-IS, and VRRP. 4. VPN & Security: Solid experience with IPSec VPNs, SSL VPNs, and advanced firewall configuration. 5. Network Troubleshooting: Strong ability to diagnose and resolve complex, time-sensitive networking issues efficiently. 6. Systems Administration: Installation, configuration, hardening, maintenance, and patching of network and server infrastructure; advanced troubleshooting in disk/storage management including LVM, RAW, XFS, EXT4, and BTRFS. 7. Monitoring & Observability: Configuring, troubleshooting, and managing systems including Grafana, Prometheus, Elasticsearch, and related tooling. 8. DevOps Practices: Familiarity with Git-based workflows and automated deployment strategies in production environments. Highly regarded: - Cloud Certifications, Cyber Certs, There is an on-call rotation but we are working on the logistics for that. Once perm there is opportunity to travel international but not mandatory. Experience Level Expert Level Job Type & Location This is a Contract to Hire position based out of Annapolis, MD. Pay and Benefits The pay range for this position is $60.00 - $75.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Annapolis,MD. Application Deadline This position is anticipated to close on Aug 28, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): . click apply for full job details
08/22/2026
Full time
Job Description Description Our customer is an innovative, established global company with a start-up culture that provides a range of wireless communications solutions and specialize in mission critical infrastructure. They have a large presence internationally, and are continuing to expand and grow their North American presence. The North American group has consistently grown through various large carrier contracts (Example: AT&T FirstNet) and they are quickly approaching the deployment of new hardware/software and applications which is driving the need to add to the team. Our customer is currently looking to expand the team at their Annapolis location to add a Sr. Telecomm Network Administrator to support the deployment/"Go-Live" of their hardware/applications (Interworking function) at an increased scale. The Network Admin will be a core member of their 24/7/365 Operations team to provide Tier 3 layer support for networking and IT administration for ECS (Emergency Communication Service). The network admins day- to- day can vary, but duties are not limited to the following: 1- serve as a point of escalation, 2. Diagnose, Troubleshoot, or escalate tickets, 3. Proactively monitor systems, 4. Assess performance and perform upgrades, 5. Maintain and create SOP's for responses and troubleshooting, maintain/administer accounts, test/deploy software, etc The day to day and variation of duties will be heavier on responsiveness to the Go-Live date. Depending on volume, various duties can be peeled off (again, start up environment where they have the autonomy to scale if needed) You will design (More optimization as the design is already completed), implement, and maintain network operations across Etherstack's global offices and cloud deployments, with a strong DevOps mindset - automating workflows, managing infrastructure as code, and building repeatable, resilient processes. You will be responsible for maintaining comprehensive documentation of IT policies, procedures, hardware, and software. Key Responsibility Areas 1. Provide L3 technical support through Etherstack's 24/7/365 service desk, including on-call rotations and shift-based coverage; respond to, triage, escalate, and resolve incidents in accordance with defined SLAs. 2. Proactively monitor all IT systems, networks, and cloud infrastructure using observability tooling; identify and remediate issues before they impact operations. 3. Ensure IT systems meet security and compliance standards; plan and execute upgrades, patches, and hardening activities. 4. Maintain and administer user accounts, access controls, and application software licenses. 5. Conduct regular audits of IT systems and software; maintain an accurate, up-to-date asset register. 6. Document policies, procedures, infrastructure, and system configurations to a professional standard. 7. Analyze, test, and deploy software patches and updates in a controlled, risk-managed manner. 8. Provide technical guidance and mentorship to junior team members; contribute to knowledge base articles and training materials. Required Qualifications 1. Bachelor's degree in a field related to IT, computer science, or telecommunications. (Relevant years of experience will suffice as well) 2. Juniper Engineer level certification in both Routing and Switching (JNCIP) and Network Security (JNCIP-SEC). (Again this is desired, but not mandatory as they can have the experience with other manufacturers). 3. Red Hat Certified Engineer (RHCE), and Red Hat Certified Specialist in Security certifications. (Cert is desired, but not mandatory) Skills Router, Switches, juniper, redhat, linux red hat, telecommunications systems, 3GPP, Network engineering, Troubleshooting, Wireless Top Skills Details Router,Switches,juniper,redhat,linux red hat,telecommunications systems,3GPP,Network engineering Additional Skills & Qualifications This is a on-site position that can eventually move to a hybrid schedule. Resource should expect to be on-site for the first 6 months or so, but then move to a hybrid schedule once up to speed of 3 days in office and 2 days remote. While this is a 24X7 NOC, this resource will be supporting the North American "day shift" as their partner across the globe will pick up the other shifts. Required Skills 1. Excellent written and oral English communication skills, including the ability to write clear incident reports and post-mortems. 2. Ability to remain composed and make sound decisions under pressure during critical incidents; strong professional relationship skills in a fast-paced, always-on environment. 3. Routing & Switching: Deep expertise in IP routing and switching, including MPLS, BGP, OSPF, EIGRP, RIP, Multicast, VLANs, Inter-VLANs, Spanning Tree, BFD, VXLAN, eVPN, IS-IS, and VRRP. 4. VPN & Security: Solid experience with IPSec VPNs, SSL VPNs, and advanced firewall configuration. 5. Network Troubleshooting: Strong ability to diagnose and resolve complex, time-sensitive networking issues efficiently. 6. Systems Administration: Installation, configuration, hardening, maintenance, and patching of network and server infrastructure; advanced troubleshooting in disk/storage management including LVM, RAW, XFS, EXT4, and BTRFS. 7. Monitoring & Observability: Configuring, troubleshooting, and managing systems including Grafana, Prometheus, Elasticsearch, and related tooling. 8. DevOps Practices: Familiarity with Git-based workflows and automated deployment strategies in production environments. Highly regarded: - Cloud Certifications, Cyber Certs, There is an on-call rotation but we are working on the logistics for that. Once perm there is opportunity to travel international but not mandatory. Experience Level Expert Level Job Type & Location This is a Contract to Hire position based out of Annapolis, MD. Pay and Benefits The pay range for this position is $60.00 - $75.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Annapolis,MD. Application Deadline This position is anticipated to close on Aug 28, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): . click apply for full job details
Job Description Description Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path. Leidos has an exciting opening for you as our next TS/SCI cleared Software Engineer supporting a long-term DIA-NDOC DOMEX Technology Platform (DTP) contract. You will work closely with Systems Engineers, Software Engineers, Architects, and Operations Engineering/Manager on a broad scope of activities extending across the development of systems to include middle-tier and backend engineering tasks. Have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. The percentage of remote work will vary based on client requirements/deliverables. Specifically, we are looking for a skilled Python developer to join our team to build and maintain scalable microservices that interface with Kafka for real-time messaging and Elasticsearch for data indexing and search. You'll deploy and monitor your services in a Kubernetes environment and collaborate with cross-functional teams in designing reliable, observable, and secure systems. Our client's overall mission is to design and implement a data centric architecture that leverages cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems. You will work closely with the team on the following key tasks Design, develop, test, and maintain Python microservices Implement message consumers and producers with Apache Kafka Integrate with Elasticsearch for real-time and batch data indexing and querying Write unit and integration tests; ensure high code coverage and reliability Build CI/CD pipelines for your services and deploy them in Kubernetes clusters Participate in design discussions, code reviews, and architecture planning Monitor and troubleshoot production issues with observability tools Contribute to technical documentation and knowledge sharing within the team Utilizes software engineering and design methodologies appropriate to the development, integration, and production environment Foster an environment of collaboration with the different team members in the goal of providing quality service and product to our customers To be successful in this role you need these skills (required): Bachelor's Degree and 4-8 years of prior relevant experience or Masters with 2-6 years of prior relevant experience Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph Proficiency in Python and related backend frameworks (e.g., FastAPI, Flask). Experience with containerization, especially with Docker Experience in Extraction, Transformation, and Load (ETL) Hands-on development experience in a Linux environment including bash or bash-like scripting Strong understanding of RESTful APIs and microservice architecture Hands-on experience with Kubernetes: deploying, monitoring, and debugging services Understanding of common design patterns, security practices, and logging/monitoring principles Familiarity with Git and collaborative workflows (PRs, reviews) Experience with DevOps practices and tools including Continuous Integration/Continuous Delivery (CI/CD) tools and practices, especially Gitlab or Jenkins Strong verbal and written communication skills Experience with AGILE practices Enthusiastic with the ability to work well in a team and a self-starter who can work on their own You will wow us even more if you have some of these skills: Experience with designing and implementing software development kits Familiarity DGX (Deep GPU Xceleration) Active Security+ certification and ability to obtain Privileged User Account (PUA) certification by the Government Elasticsearch certifications or other program stack related certifications Experience of a production/enterprise systems at scale Knowledge of distributed systems concepts (e.g., idempotency, eventual consistency) Familiarity with schema registries and Kafka streaming patterns Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner. Experience with Amazon Web Services (AWS/C2S) Familiarity or experience with building applications around Large Language Models, Agentic AI If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:July 6, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at -benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
08/22/2026
Full time
Job Description Description Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path. Leidos has an exciting opening for you as our next TS/SCI cleared Software Engineer supporting a long-term DIA-NDOC DOMEX Technology Platform (DTP) contract. You will work closely with Systems Engineers, Software Engineers, Architects, and Operations Engineering/Manager on a broad scope of activities extending across the development of systems to include middle-tier and backend engineering tasks. Have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. The percentage of remote work will vary based on client requirements/deliverables. Specifically, we are looking for a skilled Python developer to join our team to build and maintain scalable microservices that interface with Kafka for real-time messaging and Elasticsearch for data indexing and search. You'll deploy and monitor your services in a Kubernetes environment and collaborate with cross-functional teams in designing reliable, observable, and secure systems. Our client's overall mission is to design and implement a data centric architecture that leverages cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems. You will work closely with the team on the following key tasks Design, develop, test, and maintain Python microservices Implement message consumers and producers with Apache Kafka Integrate with Elasticsearch for real-time and batch data indexing and querying Write unit and integration tests; ensure high code coverage and reliability Build CI/CD pipelines for your services and deploy them in Kubernetes clusters Participate in design discussions, code reviews, and architecture planning Monitor and troubleshoot production issues with observability tools Contribute to technical documentation and knowledge sharing within the team Utilizes software engineering and design methodologies appropriate to the development, integration, and production environment Foster an environment of collaboration with the different team members in the goal of providing quality service and product to our customers To be successful in this role you need these skills (required): Bachelor's Degree and 4-8 years of prior relevant experience or Masters with 2-6 years of prior relevant experience Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph Proficiency in Python and related backend frameworks (e.g., FastAPI, Flask). Experience with containerization, especially with Docker Experience in Extraction, Transformation, and Load (ETL) Hands-on development experience in a Linux environment including bash or bash-like scripting Strong understanding of RESTful APIs and microservice architecture Hands-on experience with Kubernetes: deploying, monitoring, and debugging services Understanding of common design patterns, security practices, and logging/monitoring principles Familiarity with Git and collaborative workflows (PRs, reviews) Experience with DevOps practices and tools including Continuous Integration/Continuous Delivery (CI/CD) tools and practices, especially Gitlab or Jenkins Strong verbal and written communication skills Experience with AGILE practices Enthusiastic with the ability to work well in a team and a self-starter who can work on their own You will wow us even more if you have some of these skills: Experience with designing and implementing software development kits Familiarity DGX (Deep GPU Xceleration) Active Security+ certification and ability to obtain Privileged User Account (PUA) certification by the Government Elasticsearch certifications or other program stack related certifications Experience of a production/enterprise systems at scale Knowledge of distributed systems concepts (e.g., idempotency, eventual consistency) Familiarity with schema registries and Kafka streaming patterns Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner. Experience with Amazon Web Services (AWS/C2S) Familiarity or experience with building applications around Large Language Models, Agentic AI If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:July 6, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at -benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/22/2026
Full time
Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (Gen AI Platform Services: Distributed Systems) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/21/2026
Full time
Senior Lead AI Engineer (Gen AI Platform Services: Distributed Systems) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (GenAI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/21/2026
Full time
Senior Lead AI Engineer (GenAI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (Gen AI Platform Services: Distributed Systems) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/21/2026
Full time
Senior Lead AI Engineer (Gen AI Platform Services: Distributed Systems) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Specialty Access & Affordability value stream is seeking a Senior Full Stack Developer to join the FastAuth team. In this role you will build and scale the applications that move specialty prescriptions through prior authorization faster, reducing the time between a prescription being written and a patient starting therapy. You will work alongside a collaborative group of skilled engineers who take pride in consistent delivery and technical excellence, spanning React front ends, .NET services, and event-driven integrations running on Azure. This is a hands-on role on a team that ships continuously and owns what it builds. What You'll Do Design and develop robust, scalable web applications using TypeScript, React, and/or .NET Partner with engineers and architects to design and implement Azure cloud solutions Lead and coach team members through difficult problems Help build and maintain our event-driven architecture Turn complex business requirements into elegant, simple technical solutions Raise the bar on the team through code review, pairing, and mentoring less experienced developers Deliver high-quality work at a predictable cadence and help the team sustain it Support what you build in production, including monitoring, troubleshooting, and continuous improvement Participate in agile ceremonies, technical planning, and design reviews Priority will be given to candidates who reside in the Columbus, OH metropolitan area . We are unable to provide sponsorship for this role presently or in the future Minimum Requirement Degree or equivalent experience, plus typically 8+ years of relevant professional experience. Critical Skills 8+ years building and shipping production software applications Strong proficiency in TypeScript and React, and/or .NET Experience with Azure cloud services and infrastructure Working knowledge of event-driven architecture, ideally including Kafka A track record of using AI tools effectively in your day-to-day development workflow Ability to take a feature from ambiguous requirement to production with limited direction Consistent follow-through on commitments and a bias toward finishing work Collaborative approach to software development and problem solving Comfort working in a fast-moving environment where priorities evolve as the product does Additional Skills (Preferred) Healthcare applications, particularly EHR integrations RPA technology FHIR standard, SMART on FHIR integrations, and healthcare data exchange Experience with CI/CD pipelines and automated testing Contributions to open source projects or developer communities Education Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. Work Environment Hybrid, based out of the Columbus, Ohio office. Occasional collaboration across time zones with distributed team members and partners. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $131,000 - $218,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
08/20/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Specialty Access & Affordability value stream is seeking a Senior Full Stack Developer to join the FastAuth team. In this role you will build and scale the applications that move specialty prescriptions through prior authorization faster, reducing the time between a prescription being written and a patient starting therapy. You will work alongside a collaborative group of skilled engineers who take pride in consistent delivery and technical excellence, spanning React front ends, .NET services, and event-driven integrations running on Azure. This is a hands-on role on a team that ships continuously and owns what it builds. What You'll Do Design and develop robust, scalable web applications using TypeScript, React, and/or .NET Partner with engineers and architects to design and implement Azure cloud solutions Lead and coach team members through difficult problems Help build and maintain our event-driven architecture Turn complex business requirements into elegant, simple technical solutions Raise the bar on the team through code review, pairing, and mentoring less experienced developers Deliver high-quality work at a predictable cadence and help the team sustain it Support what you build in production, including monitoring, troubleshooting, and continuous improvement Participate in agile ceremonies, technical planning, and design reviews Priority will be given to candidates who reside in the Columbus, OH metropolitan area . We are unable to provide sponsorship for this role presently or in the future Minimum Requirement Degree or equivalent experience, plus typically 8+ years of relevant professional experience. Critical Skills 8+ years building and shipping production software applications Strong proficiency in TypeScript and React, and/or .NET Experience with Azure cloud services and infrastructure Working knowledge of event-driven architecture, ideally including Kafka A track record of using AI tools effectively in your day-to-day development workflow Ability to take a feature from ambiguous requirement to production with limited direction Consistent follow-through on commitments and a bias toward finishing work Collaborative approach to software development and problem solving Comfort working in a fast-moving environment where priorities evolve as the product does Additional Skills (Preferred) Healthcare applications, particularly EHR integrations RPA technology FHIR standard, SMART on FHIR integrations, and healthcare data exchange Experience with CI/CD pipelines and automated testing Contributions to open source projects or developer communities Education Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. Work Environment Hybrid, based out of the Columbus, Ohio office. Occasional collaboration across time zones with distributed team members and partners. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $131,000 - $218,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
Sr. Lead AI Engineer (Inference Optimization, FM hosting, AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/17/2026
Full time
Sr. Lead AI Engineer (Inference Optimization, FM hosting, AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/17/2026
Full time
Senior Lead AI Engineer (FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
