Job Description Job Description Company Overview: Arctiq is a global, intelligence-driven technology services company delivering professional and managed services across Hybrid Cloud Infrastructure, Networking & Connected Experiences, Cybersecurity, Data & AI, Autonomous Operations & Intelligence, and Enterprise Service Management. We help organizations operate, secure, and modernize complex environments by unifying infrastructure, networking, data, security, automation, and observability under a single, integrated operating model. Our work focuses on helping customers reduce operational friction, improve resilience, and make better, faster decisions as their environments evolve. Arctiq builds on decades of industry expertise and a customer-centric ethos to deliver exceptional value to clients across diverse industries. This is a 3-month contract-to-hire position with one of Arctiq's clients. It is on-site in Alpharetta, GA. Position Overview: We are seeking a highly skilled Network Security Engineer to support and manage global physical security and infrastructure operations. This role is responsible for deploying, maintaining, and supporting enterprise security systems, access control platforms, surveillance technologies, and supporting infrastructure across a distributed global environment. The ideal candidate will have extensive hands-on experience with cloud-based security platforms, smart-hands support, access control systems, video surveillance solutions, and infrastructure hardware. This position is security-focused, with networking knowledge serving as a supporting competency. This is an onsite role (5 days/week) with participation in an on-call support rotation required, supporting global operations across multiple time zones (8am-5pm core hours). Occasional travel to support installations and operational initiatives may be required. Responsibilities: Physical Security Operations Administer and support global physical security systems and operations Deploy, configure, and maintain enterprise access control platforms including Verkada, Avigilon, and Openpath Manage and troubleshoot camera systems, access control hardware, and monitoring solutions Configure and support wired access control panels and associated infrastructure Monitor security events and ensure operational health of physical security platforms globally Perform firmware updates, patching, and lifecycle management of security devices Global Infrastructure & Security Operations Monitor the health, availability, and performance of global physical security and infrastructure systems Proactively monitor enterprise security platforms, servers, storage systems, network connectivity, and associated cloud services Investigate and resolve alerts, outages, and performance degradation across global environments Perform firmware upgrades, software updates, and security patching for cameras, access control systems, servers, and supporting infrastructure Maintain operational dashboards and monitoring tools to ensure continuous visibility of security and infrastructure assets worldwide Coordinate incident response activities related to security systems, storage platforms, server infrastructure, and connectivity disruptions Infrastructure & Smart Hands Support Provide smart-hands support for servers, network equipment, access control systems, surveillance devices, PCs/desktop hardware, and infrastructure management tools Deploy new hardware and perform rack-and-stack activities Configure, install, and commission security and infrastructure equipment using standardized deployment procedures Coordinate hardware replacements, upgrades, and equipment refresh activities Support remote sites and assist local teams with physical installations and troubleshooting Security Technology Administration Manage cloud-based security platforms and associated integrations Support hardware and software components of security ecosystems Ensure security systems maintain operational availability and compliance requirements Develop and maintain documentation, standard operating procedures, and asset inventories Incident Response & Support Participate in an on-call rotation providing after-hours support Respond to outages involving security systems, camera platforms, access control services, and connectivity-related incidents Troubleshoot loss-of-connectivity events and coordinate restoration efforts Escalate and coordinate with vendors and internal infrastructure teams as required Qualifications: Required: 8+ years of experience in physical security technology, infrastructure operations, or network/security engineering Hands-on experience supporting Verkada, Avigilon, Openpath, enterprise camera systems, and access control platforms Experience deploying and maintaining cloud-based security solutions Strong troubleshooting skills across hardware, software, and connectivity issues Experience with cabling, wiring, access panels, surveillance equipment, and supporting infrastructure Understanding of networking fundamentals including TCP/IP, switching, routing, VLANs, and remote connectivity Experience supporting servers, storage systems, and enterprise infrastructure environments Ability to travel occasionally to support installations and operational initiatives Preferred: Experience supporting global security operations centers (SOC) or enterprise security programs Familiarity with enterprise monitoring and infrastructure management tools Experience managing firmware, software upgrades, and device lifecycle planning Security industry certifications or vendor certifications related to access control or video surveillance systems Knowledge of physical security best practices and operational risk management Arctiq is an equal opportunity employer. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply. We thank you for your interest in joining the Arctiq team! While we welcome all applicants, only those who are selected for an interview will be contacted.
09/28/2026
Full time
Job Description Job Description Company Overview: Arctiq is a global, intelligence-driven technology services company delivering professional and managed services across Hybrid Cloud Infrastructure, Networking & Connected Experiences, Cybersecurity, Data & AI, Autonomous Operations & Intelligence, and Enterprise Service Management. We help organizations operate, secure, and modernize complex environments by unifying infrastructure, networking, data, security, automation, and observability under a single, integrated operating model. Our work focuses on helping customers reduce operational friction, improve resilience, and make better, faster decisions as their environments evolve. Arctiq builds on decades of industry expertise and a customer-centric ethos to deliver exceptional value to clients across diverse industries. This is a 3-month contract-to-hire position with one of Arctiq's clients. It is on-site in Alpharetta, GA. Position Overview: We are seeking a highly skilled Network Security Engineer to support and manage global physical security and infrastructure operations. This role is responsible for deploying, maintaining, and supporting enterprise security systems, access control platforms, surveillance technologies, and supporting infrastructure across a distributed global environment. The ideal candidate will have extensive hands-on experience with cloud-based security platforms, smart-hands support, access control systems, video surveillance solutions, and infrastructure hardware. This position is security-focused, with networking knowledge serving as a supporting competency. This is an onsite role (5 days/week) with participation in an on-call support rotation required, supporting global operations across multiple time zones (8am-5pm core hours). Occasional travel to support installations and operational initiatives may be required. Responsibilities: Physical Security Operations Administer and support global physical security systems and operations Deploy, configure, and maintain enterprise access control platforms including Verkada, Avigilon, and Openpath Manage and troubleshoot camera systems, access control hardware, and monitoring solutions Configure and support wired access control panels and associated infrastructure Monitor security events and ensure operational health of physical security platforms globally Perform firmware updates, patching, and lifecycle management of security devices Global Infrastructure & Security Operations Monitor the health, availability, and performance of global physical security and infrastructure systems Proactively monitor enterprise security platforms, servers, storage systems, network connectivity, and associated cloud services Investigate and resolve alerts, outages, and performance degradation across global environments Perform firmware upgrades, software updates, and security patching for cameras, access control systems, servers, and supporting infrastructure Maintain operational dashboards and monitoring tools to ensure continuous visibility of security and infrastructure assets worldwide Coordinate incident response activities related to security systems, storage platforms, server infrastructure, and connectivity disruptions Infrastructure & Smart Hands Support Provide smart-hands support for servers, network equipment, access control systems, surveillance devices, PCs/desktop hardware, and infrastructure management tools Deploy new hardware and perform rack-and-stack activities Configure, install, and commission security and infrastructure equipment using standardized deployment procedures Coordinate hardware replacements, upgrades, and equipment refresh activities Support remote sites and assist local teams with physical installations and troubleshooting Security Technology Administration Manage cloud-based security platforms and associated integrations Support hardware and software components of security ecosystems Ensure security systems maintain operational availability and compliance requirements Develop and maintain documentation, standard operating procedures, and asset inventories Incident Response & Support Participate in an on-call rotation providing after-hours support Respond to outages involving security systems, camera platforms, access control services, and connectivity-related incidents Troubleshoot loss-of-connectivity events and coordinate restoration efforts Escalate and coordinate with vendors and internal infrastructure teams as required Qualifications: Required: 8+ years of experience in physical security technology, infrastructure operations, or network/security engineering Hands-on experience supporting Verkada, Avigilon, Openpath, enterprise camera systems, and access control platforms Experience deploying and maintaining cloud-based security solutions Strong troubleshooting skills across hardware, software, and connectivity issues Experience with cabling, wiring, access panels, surveillance equipment, and supporting infrastructure Understanding of networking fundamentals including TCP/IP, switching, routing, VLANs, and remote connectivity Experience supporting servers, storage systems, and enterprise infrastructure environments Ability to travel occasionally to support installations and operational initiatives Preferred: Experience supporting global security operations centers (SOC) or enterprise security programs Familiarity with enterprise monitoring and infrastructure management tools Experience managing firmware, software upgrades, and device lifecycle planning Security industry certifications or vendor certifications related to access control or video surveillance systems Knowledge of physical security best practices and operational risk management Arctiq is an equal opportunity employer. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply. We thank you for your interest in joining the Arctiq team! While we welcome all applicants, only those who are selected for an interview will be contacted.
Job Description Job Description "All candidates must be directly contracted by ASK Consulting on their payroll and cannot be subcontracted. We are unable to provide sponsorship at this moment". Job Title: Sr. Release Train Engineer Location: Hybrid role in Atlanta, GA 30328 Duration: 12 Months Contract Payrate: $69.00 - $69.71/ Hour Job Description: The Release Train Engineer (RTE) has primary purpose of supporting an Agile Release Train (ART) by steering it to success and navigating the complexity of delivering software in large environments. The RTE helps resolve and escalate impediments, manages risk, helps assure value delivery, and drives program level continuous improvement. The RTE is accountable for the overall coordination, execution and delivery of value through the program while ensuring alignment with company strategy, commitments and goals. Responsibilities: Active membership in the RTE Community of Practice helping the organization to maintain alignment, learn new techniques, and improve technical and quality practices. Assists the ART to relentlessly improve through the facilitation of ART Retrospectives quarterly, or more as often as needed, to improve backlog management, ART reviews, sprint reviews, or ART coordination and higher-level function. Work with RTE community to determine ways to help ARTs across the company improve cross-train and solution group coordination and collaboration. Facilitates the coordinated preparation and execution of release planning for the ART. Will have Scrum Masters reporting to them directly. Facilitates the coordination of initiatives that cross multiple release trains. Coaches the Agile release train to improve in the implementation of Agile processes, practices, and mindset. The RTE may be called upon to lead projects that impact the ART but may not require work being added to team backlogs. Assisting in the execution of product vision. Support teams commitments and continuous growth. Empower teams to be owners of their products and processes. Qualifications: Bachelor's Degree 4+ years experience OR 8 years relevant experience. 4 years experience as Release Train Engineer, Scrum Master, or Agile Project/Program Manager. Must have experience with presenting and interacting collaboration and influence with Director level stakeholders. Must understand the difference between being Agile and doing Agile. Understands Lean thinking and implementation. Strong technical aptitude and experience leading teams in delivering quality software. Experience applying Lean Thinking and Systems Thinking in large organizations. Experience with Lean Portfolio Management facilitation for program, portfolio, or executive level. Experience working in an Agile organization using Scrum, XP, Kanban, Scaled Agile Framework (SAFe), or other scaling model. Desirable : Agile Certification (A-CSM, PSM, or PMI-ACP) Project Management Professional (PMP) Advanced degree in industry related subject SAFe Program Consultant (SPC) or other SAFe certifications preferred About ASK: ASK Consulting is an award-winning technology and professional services recruiting firm servicing Fortune 500 organizations nationally. With 5 nationwide offices, two global delivery centers, and employees in 42 states-ASK Consulting connects people with amazing opportunities ASK Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all associates.
09/28/2026
Full time
Job Description Job Description "All candidates must be directly contracted by ASK Consulting on their payroll and cannot be subcontracted. We are unable to provide sponsorship at this moment". Job Title: Sr. Release Train Engineer Location: Hybrid role in Atlanta, GA 30328 Duration: 12 Months Contract Payrate: $69.00 - $69.71/ Hour Job Description: The Release Train Engineer (RTE) has primary purpose of supporting an Agile Release Train (ART) by steering it to success and navigating the complexity of delivering software in large environments. The RTE helps resolve and escalate impediments, manages risk, helps assure value delivery, and drives program level continuous improvement. The RTE is accountable for the overall coordination, execution and delivery of value through the program while ensuring alignment with company strategy, commitments and goals. Responsibilities: Active membership in the RTE Community of Practice helping the organization to maintain alignment, learn new techniques, and improve technical and quality practices. Assists the ART to relentlessly improve through the facilitation of ART Retrospectives quarterly, or more as often as needed, to improve backlog management, ART reviews, sprint reviews, or ART coordination and higher-level function. Work with RTE community to determine ways to help ARTs across the company improve cross-train and solution group coordination and collaboration. Facilitates the coordinated preparation and execution of release planning for the ART. Will have Scrum Masters reporting to them directly. Facilitates the coordination of initiatives that cross multiple release trains. Coaches the Agile release train to improve in the implementation of Agile processes, practices, and mindset. The RTE may be called upon to lead projects that impact the ART but may not require work being added to team backlogs. Assisting in the execution of product vision. Support teams commitments and continuous growth. Empower teams to be owners of their products and processes. Qualifications: Bachelor's Degree 4+ years experience OR 8 years relevant experience. 4 years experience as Release Train Engineer, Scrum Master, or Agile Project/Program Manager. Must have experience with presenting and interacting collaboration and influence with Director level stakeholders. Must understand the difference between being Agile and doing Agile. Understands Lean thinking and implementation. Strong technical aptitude and experience leading teams in delivering quality software. Experience applying Lean Thinking and Systems Thinking in large organizations. Experience with Lean Portfolio Management facilitation for program, portfolio, or executive level. Experience working in an Agile organization using Scrum, XP, Kanban, Scaled Agile Framework (SAFe), or other scaling model. Desirable : Agile Certification (A-CSM, PSM, or PMI-ACP) Project Management Professional (PMP) Advanced degree in industry related subject SAFe Program Consultant (SPC) or other SAFe certifications preferred About ASK: ASK Consulting is an award-winning technology and professional services recruiting firm servicing Fortune 500 organizations nationally. With 5 nationwide offices, two global delivery centers, and employees in 42 states-ASK Consulting connects people with amazing opportunities ASK Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all associates.
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: Associate, Software Engineer Job Code: 39937 Job Location: Salt Lake City, UT Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: As a New Grad you would develop and test embedded software for systems, applying computer science, engineering, and math principles to support real-time control and system performance. Day to day, you'd collaborate with cross-functional engineering teams on requirements, design, integration, hardware/software interfaces, testing, debugging, and defect resolution across the full software development lifecycle. You'd also use a wide range of programming languages, tools, and operating systems to build, evaluate, and document software solutions for embedded and platform-based environments. Essential Functions: Apply computer science, engineering, and mathematical analysis concepts and principles in the development of software for the target application Work closely with cross functional members of the engineering organization to develop and evaluate interfaces between hardware and software, and operational performance requirements and design of the overall system Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, integration, and test of embedded software for real-time control of advanced tactical radio equipment Develop software test procedures, software programs, and related documentation Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and evaluate results Participate in peer reviews, identify, track and repair defects Utilize a variety of software languages (i.e., C++, C#, C, Java, Ruby, HTML5, XML, SQL, Perl, Python, Ajax, Qt) on Windows, Linux, mobile platforms, and embedded real time operating systems (VxWorks, Linux, QNX, Integrity, Windows CE, and others for Motorola, Intel, TI, and custom processor designs) Qualifications: To be eligible, applicants must be pursuing Bachelor's degree in computer science, Computer Engineering, Software Engineering, Electrical Engineering, Information Security or related field or have completed their Bachelor's degree within the last 12 months, regardless of age. 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.
09/28/2026
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: Associate, Software Engineer Job Code: 39937 Job Location: Salt Lake City, UT Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: As a New Grad you would develop and test embedded software for systems, applying computer science, engineering, and math principles to support real-time control and system performance. Day to day, you'd collaborate with cross-functional engineering teams on requirements, design, integration, hardware/software interfaces, testing, debugging, and defect resolution across the full software development lifecycle. You'd also use a wide range of programming languages, tools, and operating systems to build, evaluate, and document software solutions for embedded and platform-based environments. Essential Functions: Apply computer science, engineering, and mathematical analysis concepts and principles in the development of software for the target application Work closely with cross functional members of the engineering organization to develop and evaluate interfaces between hardware and software, and operational performance requirements and design of the overall system Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, integration, and test of embedded software for real-time control of advanced tactical radio equipment Develop software test procedures, software programs, and related documentation Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and evaluate results Participate in peer reviews, identify, track and repair defects Utilize a variety of software languages (i.e., C++, C#, C, Java, Ruby, HTML5, XML, SQL, Perl, Python, Ajax, Qt) on Windows, Linux, mobile platforms, and embedded real time operating systems (VxWorks, Linux, QNX, Integrity, Windows CE, and others for Motorola, Intel, TI, and custom processor designs) Qualifications: To be eligible, applicants must be pursuing Bachelor's degree in computer science, Computer Engineering, Software Engineering, Electrical Engineering, Information Security or related field or have completed their Bachelor's degree within the last 12 months, regardless of age. 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: Associate, Systems Engineer Job Code: 39650 Job Location: Salt Lake City, UT Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: As a new graduate in the Systems Engineering role, you will assit in supporting the planning, development, and evaluation of system solutions across a variety of technical activities. The role involves contributing to analysis, testing, troubleshooting, and communication efforts to help ensure systems meet user and program needs. Essential Functions: Perform operational analysis and develop concept of operations, design and implementation plans Develop test plans, procedures & cases Conduct tests and document results Use software tools, scripting and software/hardware troubleshooting Analyze systems requirements from end systems and users Supports development and evaluation of complex system designs and architectures Develop and deliver presentations to communicate design activity plans and status to internal and external customers Qualifications: To be eligible, applicants must be pursuing Bachelor's Degree Systems Engineering, Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, Physics, Mathematics, Aviation, Aerospace Engineering, or related field or have completed Bachelor's Degree within the last 12 months, regardless of age. Preferred Skills: Coursework and/or experience in systems engineering, systems architecture, systems analysis and design, system performance modeling, integration and/or project management, and/or model-based systems engineering Familiar with Rhapsody 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.
09/28/2026
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: Associate, Systems Engineer Job Code: 39650 Job Location: Salt Lake City, UT Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: As a new graduate in the Systems Engineering role, you will assit in supporting the planning, development, and evaluation of system solutions across a variety of technical activities. The role involves contributing to analysis, testing, troubleshooting, and communication efforts to help ensure systems meet user and program needs. Essential Functions: Perform operational analysis and develop concept of operations, design and implementation plans Develop test plans, procedures & cases Conduct tests and document results Use software tools, scripting and software/hardware troubleshooting Analyze systems requirements from end systems and users Supports development and evaluation of complex system designs and architectures Develop and deliver presentations to communicate design activity plans and status to internal and external customers Qualifications: To be eligible, applicants must be pursuing Bachelor's Degree Systems Engineering, Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, Physics, Mathematics, Aviation, Aerospace Engineering, or related field or have completed Bachelor's Degree within the last 12 months, regardless of age. Preferred Skills: Coursework and/or experience in systems engineering, systems architecture, systems analysis and design, system performance modeling, integration and/or project management, and/or model-based systems engineering Familiar with Rhapsody 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: Sr. Associate, Systems Engineer Job ID: 42241 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: Perform operational analysis and develop concept of operations, design and implementation plans Develop test plans, procedures & cases Conduct tests and document results Use software tools, scripting and software/hardware troubleshooting Analyze systems requirements from end systems and users Supports development and evaluation of complex system designs and architectures Develop and deliver presentations to communicate design activity plans and status to internal and external customers Qualifications : To be eligible, applicants must be pursuing a Master's Degree in Systems Engineering, Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, Physics, Mathematics, Aviation, Aerospace Engineering, or related field or have completed their Master's degree within the last 12 months, regardless of age. Preferred Skills: Coursework and/or experience in systems engineering, systems architecture, systems analysis and design, system performance modeling, integration and/or project management, and/or model-based systems engineering Familiar with Rhapsody 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.
09/28/2026
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: Sr. Associate, Systems Engineer Job ID: 42241 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: Perform operational analysis and develop concept of operations, design and implementation plans Develop test plans, procedures & cases Conduct tests and document results Use software tools, scripting and software/hardware troubleshooting Analyze systems requirements from end systems and users Supports development and evaluation of complex system designs and architectures Develop and deliver presentations to communicate design activity plans and status to internal and external customers Qualifications : To be eligible, applicants must be pursuing a Master's Degree in Systems Engineering, Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, Physics, Mathematics, Aviation, Aerospace Engineering, or related field or have completed their Master's degree within the last 12 months, regardless of age. Preferred Skills: Coursework and/or experience in systems engineering, systems architecture, systems analysis and design, system performance modeling, integration and/or project management, and/or model-based systems engineering Familiar with Rhapsody 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: Lead, Systems Engineer Job Code: 41005 Job Location: Palm Bay, FL Job Schedule: 9/80 (Every other Friday off!) Relocation: Relocation assistance is available to qualified applicants Job Description: This position will be responsible for providing Systems Engineering support & leadership for space based and associated subsystems across multiple responsive space programs in the Space and Mission Systems Segment of L3Harris Technologies, specifically supporting the Surveillance Systems Division. The products we develop perform a variety of missions for our customers with both space-based and ground-based applications. The Systems Engineers that support these missions lead the technology across the entire system lifecycle. They engage in all the of critical phases and milestone reviews including pursuit, SDR, PDR, CDR, TRR, PSR, and system operation. The Space Systems Sector has growing needs across a variety of programs, and our team may support one or multiple programs at any given time. Our roles will support the larger program team performing critical functions such as requirements management, Model-Based Systems Engineering (MBSE), interface management, system design, risk and opportunity management, verification planning, test planning, and leading multiple event-based activities such as RCCAs, FRBs, MRBs, and addressing any open action items. All Systems Engineers must be able to work and lead in collaborative environments, fostering the success of the overall team. Specific essential skills for this role are listed below: Essential Functions: Experience with space hardware and testing Experience with RF space payloads and systems Experience with leading space, ground systems architecture and implementation Experience leading complex technical teams and programs to deliver hardware Experience with requirements management software such as DOORS, Jama Experience with leading in a fixed-price programs with government customers Direct experience leading technical teams Provide technical engineering leadership to a dynamic engineering development team, working through first unit test, design verification test, integration and transition to production tasks on complex RF components, modules, subsystems & systems. Support test and troubleshooting of systems, modules and sub-assemblies of RF modules, working directly with program engineering personnel as required Interface with Engineering, Operations, Quality and other supporting functions to drive defect resolution to root cause Generate and implement improvements in product and test design and methodologies to reduce cost, increase yield, and improve throughput Generate and review the technical content of test procedures, drawings, engineering specifications, reports, Engineering Change Orders, and other documentation Experience developing, managing, and verifying requirements for components or systems Participate in and potentially lead business pursuit efforts Evaluates customer and /operational needs to help define and coordinate system performance requirements, integrate technical parameters and assure compatibility of all physical, functional and program interfaces Evaluate and mitigate risk within the program Execute design trades to support technical decisions Experience with Model Based Systems Engineering (MBSE) and its tools such as CAMEO and MagicDraw Qualifications: Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. TS/SCI clearance is required Preferred Additional Skills: Experience with space ground systems and space vehicle operation Experience with space vehicle design, integration, and test 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.
09/28/2026
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: Lead, Systems Engineer Job Code: 41005 Job Location: Palm Bay, FL Job Schedule: 9/80 (Every other Friday off!) Relocation: Relocation assistance is available to qualified applicants Job Description: This position will be responsible for providing Systems Engineering support & leadership for space based and associated subsystems across multiple responsive space programs in the Space and Mission Systems Segment of L3Harris Technologies, specifically supporting the Surveillance Systems Division. The products we develop perform a variety of missions for our customers with both space-based and ground-based applications. The Systems Engineers that support these missions lead the technology across the entire system lifecycle. They engage in all the of critical phases and milestone reviews including pursuit, SDR, PDR, CDR, TRR, PSR, and system operation. The Space Systems Sector has growing needs across a variety of programs, and our team may support one or multiple programs at any given time. Our roles will support the larger program team performing critical functions such as requirements management, Model-Based Systems Engineering (MBSE), interface management, system design, risk and opportunity management, verification planning, test planning, and leading multiple event-based activities such as RCCAs, FRBs, MRBs, and addressing any open action items. All Systems Engineers must be able to work and lead in collaborative environments, fostering the success of the overall team. Specific essential skills for this role are listed below: Essential Functions: Experience with space hardware and testing Experience with RF space payloads and systems Experience with leading space, ground systems architecture and implementation Experience leading complex technical teams and programs to deliver hardware Experience with requirements management software such as DOORS, Jama Experience with leading in a fixed-price programs with government customers Direct experience leading technical teams Provide technical engineering leadership to a dynamic engineering development team, working through first unit test, design verification test, integration and transition to production tasks on complex RF components, modules, subsystems & systems. Support test and troubleshooting of systems, modules and sub-assemblies of RF modules, working directly with program engineering personnel as required Interface with Engineering, Operations, Quality and other supporting functions to drive defect resolution to root cause Generate and implement improvements in product and test design and methodologies to reduce cost, increase yield, and improve throughput Generate and review the technical content of test procedures, drawings, engineering specifications, reports, Engineering Change Orders, and other documentation Experience developing, managing, and verifying requirements for components or systems Participate in and potentially lead business pursuit efforts Evaluates customer and /operational needs to help define and coordinate system performance requirements, integrate technical parameters and assure compatibility of all physical, functional and program interfaces Evaluate and mitigate risk within the program Execute design trades to support technical decisions Experience with Model Based Systems Engineering (MBSE) and its tools such as CAMEO and MagicDraw Qualifications: Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. TS/SCI clearance is required Preferred Additional Skills: Experience with space ground systems and space vehicle operation Experience with space vehicle design, integration, and test 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, Systems Engineer Job Code: 41002 Job Location: Palm Bay, FL Job Schedule: 9/80 (Every other Friday off!) Relocation: Relocation assistance is available to qualified applicants Job Description: This position will be responsible for providing Systems Engineering support & leadership for space based and associated subsystems across multiple responsive space programs in the Space & Mission Systems Segment of L3Harris Technologies, specifically supporting the Surveillance Systems Division. The senior specialist systems engineer will work in a cross functional teams supporting programs through the full lifecycle: program pursuit, proposal, execution and operations. The ideal candidate thrives in a rapid pace execution schedule, leverages their technical trouble shooting skills and communicates promptly with leadership about progress or roadblocks. Essential Functions: Senior Specialist Systems Engineer will provide engineering services in a broad field of engineering, research, evaluation, and development for highly complex and technical space-based and airborne aerospace products. Solves complex development problems in area of specialization or in implementing special and/or design engineering projects to a wide range of products, projects, or programs. Uses the application of systems engineering standards, principles, theories, concepts and techniques. With minimal direction will be able to specify, architect, analyze, model, establish flow downs and verify designs, test and verify complex engineering tasks in electrical, mechanical, optical, RF, software, systems, and/or hardware components. Presents analysis of designs to Design Review Boards. Participate in proposal teams when applicable. Work with SMEs to be the voice of the customer and lead technically through the product/program full life cycle including advanced R&D, capture, proposals, design, integration & test, verification, and sustainment Lead coordination with System Integration and Test engineer responsible for the assembly, integration, and testing of payload & space vehicle subsystems including power, attitude control, T&C (Telemetry & Command), C&DH (Command & Data Handling), and inter-subsystem interfaces to ensure all requirements are met Collaborate with SMEs to perform hardware/software requirements definition, decomposition, allocation, management, verification, and validation Collaborate with SMEs to define and ensure interface requirements are properly flowed down to each subsystem and coordinated between subsystems including key suppliers such as for bus components or subsystems Collaborate with SMEs to ensure subsystem verification testing and analysis is performed with appropriate modeling of inter-subsystem interfaces Participate in and present information for internal and external technical reviews including peer reviews, requirements reviews, design reviews, qualification reviews and customer System Requirements Review (SRR), Preliminary Design reviews (PDR), Critical Design Reviews (CDR) and Technical Interchange Meetings (TIM) Lead subsystem and system level testing including data reviews, anomaly investigations and RCCA (Root Cause Corrective Action) closure Lead program technical and management leadership Support and lead technical discussions with customers Experience with requirements derivation and tracking using DOORs (or equivalent) including requirements verification traceability matrix (RVTM). Experience with Model Based Systems Engineering (MBSE) Qualifications: Bachelor's Degree and a 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 Experience in Systems Engineering or other engineering role in an aerospace program environment Experience supporting multi-disciplinary engineering team through various aspects of the system lifecycle Experience supporting system integration or manufacturing activities TS/SCI clearance is required Preferred Additional Skills: Experience working in multi-disciplinary engineering team through various aspects of the system lifecycle Ability to perform in-depth technical work while being able to communicate effectively with multiple disciplines, program office personnel and customers Organization skills to be able to support multi-disciplined teams and working to proper technical closure while managing schedule, cost and customer expectations Ability to identify any gaps in technical coverage to appropriate leadership during all phases of program execution; help fill in any gaps, when possible Experience executing commercial, firm-fixed price development programs for space 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.
09/28/2026
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, Systems Engineer Job Code: 41002 Job Location: Palm Bay, FL Job Schedule: 9/80 (Every other Friday off!) Relocation: Relocation assistance is available to qualified applicants Job Description: This position will be responsible for providing Systems Engineering support & leadership for space based and associated subsystems across multiple responsive space programs in the Space & Mission Systems Segment of L3Harris Technologies, specifically supporting the Surveillance Systems Division. The senior specialist systems engineer will work in a cross functional teams supporting programs through the full lifecycle: program pursuit, proposal, execution and operations. The ideal candidate thrives in a rapid pace execution schedule, leverages their technical trouble shooting skills and communicates promptly with leadership about progress or roadblocks. Essential Functions: Senior Specialist Systems Engineer will provide engineering services in a broad field of engineering, research, evaluation, and development for highly complex and technical space-based and airborne aerospace products. Solves complex development problems in area of specialization or in implementing special and/or design engineering projects to a wide range of products, projects, or programs. Uses the application of systems engineering standards, principles, theories, concepts and techniques. With minimal direction will be able to specify, architect, analyze, model, establish flow downs and verify designs, test and verify complex engineering tasks in electrical, mechanical, optical, RF, software, systems, and/or hardware components. Presents analysis of designs to Design Review Boards. Participate in proposal teams when applicable. Work with SMEs to be the voice of the customer and lead technically through the product/program full life cycle including advanced R&D, capture, proposals, design, integration & test, verification, and sustainment Lead coordination with System Integration and Test engineer responsible for the assembly, integration, and testing of payload & space vehicle subsystems including power, attitude control, T&C (Telemetry & Command), C&DH (Command & Data Handling), and inter-subsystem interfaces to ensure all requirements are met Collaborate with SMEs to perform hardware/software requirements definition, decomposition, allocation, management, verification, and validation Collaborate with SMEs to define and ensure interface requirements are properly flowed down to each subsystem and coordinated between subsystems including key suppliers such as for bus components or subsystems Collaborate with SMEs to ensure subsystem verification testing and analysis is performed with appropriate modeling of inter-subsystem interfaces Participate in and present information for internal and external technical reviews including peer reviews, requirements reviews, design reviews, qualification reviews and customer System Requirements Review (SRR), Preliminary Design reviews (PDR), Critical Design Reviews (CDR) and Technical Interchange Meetings (TIM) Lead subsystem and system level testing including data reviews, anomaly investigations and RCCA (Root Cause Corrective Action) closure Lead program technical and management leadership Support and lead technical discussions with customers Experience with requirements derivation and tracking using DOORs (or equivalent) including requirements verification traceability matrix (RVTM). Experience with Model Based Systems Engineering (MBSE) Qualifications: Bachelor's Degree and a 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 Experience in Systems Engineering or other engineering role in an aerospace program environment Experience supporting multi-disciplinary engineering team through various aspects of the system lifecycle Experience supporting system integration or manufacturing activities TS/SCI clearance is required Preferred Additional Skills: Experience working in multi-disciplinary engineering team through various aspects of the system lifecycle Ability to perform in-depth technical work while being able to communicate effectively with multiple disciplines, program office personnel and customers Organization skills to be able to support multi-disciplined teams and working to proper technical closure while managing schedule, cost and customer expectations Ability to identify any gaps in technical coverage to appropriate leadership during all phases of program execution; help fill in any gaps, when possible Experience executing commercial, firm-fixed price development programs for space 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: Lead, Cloud Software Engineer Job Code: 41287 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: The Mission Networks Cloud Engineering team is growing experienced a Senior Software Engineer to leverage Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering solutions to improve customer operations and to provide information management services. The team values strong knowledge of software development best practices and experience delivering & deploying Cloud based applications and services. As a member of the L3Harris team, you will work alongside various cross-functional teams to help define requirements, software architectures, APIs, serverless frameworks and libraries to ensure the mission critical readiness of programs. You will collaborate as part of a development team to implement Cloud solutions while following proven best practices. The team may work on tasks such as fast prototyping, researching COTS products for integration to L3Harris Cloud applications, or implementing & deploying solutions to meet requirements. Essential Functions: Lead tasks related to design, development and integration of Cloud software applications in an Agile development environment. Develop Cloud based applications and configure the deployment environments to achieve end-to-end integration between Cloud and Non-Cloud components. Implement applications satisfying both the program requirements and the business vision & roadmap for Cloud technologies. Coordinate with development team and customers to review designs and estimates, including identifying and documenting risks, assumptions and limitations. Leverage DevOps concepts and best practices to build and continuously improve the automated build, test and deployment environments for the applications. Provide operational support for applications and tools to meet high availability and other SLAs. Hands-on experience designing, developing, and deploying microservices to a Kubernetes based environments such as EKS, OpenShift, etc. Knowledge of microservice architectural patterns. Perform in cloud environments with focus on containerized workloads, databases, and object storage. Develop scalable, highly-available enterprise systems, ideally for Cloud. Ability to obtain and maintain an FAA public trust clearance. Qualifications: Bachelor's Degree in Computer Engineering, Computer Science, or a related field with a minimum 6-9 years software experience. Graduate Degree with a minimum of 4-7 years of software experience. In lieu of a degree, minimum of 10-12 years of software experience. Preferred Additional Skills: 5+ years Cloud Software Developer 5+ years OOP (Java, C++, Python) 3 years' experience of Java software development including the use of Web Services, JMS, and application servers and JavaScript development with in- depth knowledge of NodeJS or ReactJS 3 years' experience developing applications that leverage relational and noSQL databases. Experience with DevOps tools and concepts, including but not limited to: Jira, Confluence, GitLab, Git, Nexus, Docker, Kubernetes, CI/CD pipelines & automation. AWS Certified Solutions Architect (Associate or Professional) or similar for other Cloud providers JavaScript, JQuery, XML, Web services (REST, SOAP) and/or similar technologies Scripting languages, such as Python and Bash Ability to write well designed, testable, efficient code and coach team to do the same. Experience verifying designs are compliant with specifications. 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.
09/28/2026
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: Lead, Cloud Software Engineer Job Code: 41287 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: The Mission Networks Cloud Engineering team is growing experienced a Senior Software Engineer to leverage Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering solutions to improve customer operations and to provide information management services. The team values strong knowledge of software development best practices and experience delivering & deploying Cloud based applications and services. As a member of the L3Harris team, you will work alongside various cross-functional teams to help define requirements, software architectures, APIs, serverless frameworks and libraries to ensure the mission critical readiness of programs. You will collaborate as part of a development team to implement Cloud solutions while following proven best practices. The team may work on tasks such as fast prototyping, researching COTS products for integration to L3Harris Cloud applications, or implementing & deploying solutions to meet requirements. Essential Functions: Lead tasks related to design, development and integration of Cloud software applications in an Agile development environment. Develop Cloud based applications and configure the deployment environments to achieve end-to-end integration between Cloud and Non-Cloud components. Implement applications satisfying both the program requirements and the business vision & roadmap for Cloud technologies. Coordinate with development team and customers to review designs and estimates, including identifying and documenting risks, assumptions and limitations. Leverage DevOps concepts and best practices to build and continuously improve the automated build, test and deployment environments for the applications. Provide operational support for applications and tools to meet high availability and other SLAs. Hands-on experience designing, developing, and deploying microservices to a Kubernetes based environments such as EKS, OpenShift, etc. Knowledge of microservice architectural patterns. Perform in cloud environments with focus on containerized workloads, databases, and object storage. Develop scalable, highly-available enterprise systems, ideally for Cloud. Ability to obtain and maintain an FAA public trust clearance. Qualifications: Bachelor's Degree in Computer Engineering, Computer Science, or a related field with a minimum 6-9 years software experience. Graduate Degree with a minimum of 4-7 years of software experience. In lieu of a degree, minimum of 10-12 years of software experience. Preferred Additional Skills: 5+ years Cloud Software Developer 5+ years OOP (Java, C++, Python) 3 years' experience of Java software development including the use of Web Services, JMS, and application servers and JavaScript development with in- depth knowledge of NodeJS or ReactJS 3 years' experience developing applications that leverage relational and noSQL databases. Experience with DevOps tools and concepts, including but not limited to: Jira, Confluence, GitLab, Git, Nexus, Docker, Kubernetes, CI/CD pipelines & automation. AWS Certified Solutions Architect (Associate or Professional) or similar for other Cloud providers JavaScript, JQuery, XML, Web services (REST, SOAP) and/or similar technologies Scripting languages, such as Python and Bash Ability to write well designed, testable, efficient code and coach team to do the same. Experience verifying designs are compliant with specifications. 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, Systems Engineer - Integrated Protection Strategy Analyst Job Code: 41121 Job Location: Springfield, VA Job Schedule: 5/8 - Mon - Fri Job Description: L3Harris has an opening for an Integrated Protection Strategy Analyst in Springfield, VA to join a dynamic team supporting critical national space mission operations. Our team is tight-knit, collaborative, and mission focused. We are regularly asked to develop operational solutions to meet unique and evolving mission objectives across a complex operational environment. The team supports integrated mission protection, enterprise operations synchronization, threat-informed mission assurance, and operational planning for high-priority space mission systems. This role supports mission protection activities spanning launch, on-orbit, re-entry, and contingency operations. Responsibilities include monitoring mission systems and operational hazards, supporting conjunction and collision avoidance analysis, assessing threats to mission systems, supporting spectrum protection and interference mitigation activities, contributing to anomaly response, and helping develop procedures, checklists, training materials, and decision-support products. The position also supports the policy and governance aspects of integrated protection efforts by helping translate customer guidance, mission directives, operational policies, and enterprise protection frameworks into executable plans, procedures, concepts, and operational response options. The selected candidate will coordinate with multiple internal and external stakeholders to maintain operational awareness, support readiness activities, contribute to mission protection planning, and improve mission protection effectiveness across the enterprise. We are looking for candidates who lean forward to not only identify issues, but also work with the team to propose solutions and implement improvements. Ability to thrive in a dynamic and ever-changing work environment is preferred. In addition to the required experience below, our ideal candidate needs to demonstrate exceptional personal initiative, strong analytical rigor, effective communication skills, and the ability to maintain composure and a good attitude in a demanding operational environment. Essential Functions: • Help translate mission policy, operational guidance, enterprise directives, and protection frameworks into executable procedures, operational plans, and response actions. • Support integrated mission protection and enterprise operations synchronization for assigned mission systems. • Monitor mission systems, operational status, hazards, and threat activity to identify risks and mission impacts. • Perform operational analysis in support of conjunction and collision avoidance, mission assurance, anomaly response, operational risk assessment, and contingency operations. • Support spectrum protection, RF interference analysis, and deconfliction activities as required. • Support launch, on-orbit, re-entry, and contingency operations, including development and execution of procedures, checklists, and operational timelines. • Assist in the preparation and maintenance of operational products including briefings, status reports, mission assessments, and decision-support materials. • Support development and refinement of tactics, techniques, procedures, concepts of operations, checklists, and training materials. • Assist with mission protection planning, operational plan development, readiness events, and exercise support. • Support evaluation of courses of action, mission protection concepts, and operational recommendations for alignment with customer guidance, mission objectives, and protection priorities. • Integrate threat reporting, operational reporting, and system status information into mission impact assessments and mitigation recommendations. 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 Top-Secret/SCI clearance with CI Poly required. • Experience supporting mission protection, integrated protection strategy, space protection, or other threat-informed operations in space or national security environments. • Ability to translate mission guidance, doctrine, policy, and operational direction into executable mission protection actions, response options, and operational recommendations aligned with mission objectives and protection priorities. Preferred Additional Skills: • Experience working on operations teams in a national security space, satellite operations, mission management, operations integration, or policy/planning environment. • Experience monitoring and assessing hazards, threats, and impacts to mission systems. • Experience with conjunction assessment, collision avoidance, orbital state data, and associated tools such as STK, MATLAB, FreeFlyer, or similar. • Experience supporting launch, early orbit, on-orbit, re-entry, or contingency operations. • Experience developing procedures, checklists, TTPs, CONOPS, operational plans, policy implementation guidance, training materials, or operational briefings. • Experience supporting exercises, readiness events, continuity activities, or operational rehearsals. • Experience with software languages for scripting, modeling, simulations, and data transfers including Python and PERL. • Experience with Microsoft Office suite programs, MS Word, Excel, and PowerPoint. In compliance with pay transparency requirements, the salary range for this role in Virginia - Greater Washington, D.C. Area $92,500 - $171,500.00. 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.
09/28/2026
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, Systems Engineer - Integrated Protection Strategy Analyst Job Code: 41121 Job Location: Springfield, VA Job Schedule: 5/8 - Mon - Fri Job Description: L3Harris has an opening for an Integrated Protection Strategy Analyst in Springfield, VA to join a dynamic team supporting critical national space mission operations. Our team is tight-knit, collaborative, and mission focused. We are regularly asked to develop operational solutions to meet unique and evolving mission objectives across a complex operational environment. The team supports integrated mission protection, enterprise operations synchronization, threat-informed mission assurance, and operational planning for high-priority space mission systems. This role supports mission protection activities spanning launch, on-orbit, re-entry, and contingency operations. Responsibilities include monitoring mission systems and operational hazards, supporting conjunction and collision avoidance analysis, assessing threats to mission systems, supporting spectrum protection and interference mitigation activities, contributing to anomaly response, and helping develop procedures, checklists, training materials, and decision-support products. The position also supports the policy and governance aspects of integrated protection efforts by helping translate customer guidance, mission directives, operational policies, and enterprise protection frameworks into executable plans, procedures, concepts, and operational response options. The selected candidate will coordinate with multiple internal and external stakeholders to maintain operational awareness, support readiness activities, contribute to mission protection planning, and improve mission protection effectiveness across the enterprise. We are looking for candidates who lean forward to not only identify issues, but also work with the team to propose solutions and implement improvements. Ability to thrive in a dynamic and ever-changing work environment is preferred. In addition to the required experience below, our ideal candidate needs to demonstrate exceptional personal initiative, strong analytical rigor, effective communication skills, and the ability to maintain composure and a good attitude in a demanding operational environment. Essential Functions: • Help translate mission policy, operational guidance, enterprise directives, and protection frameworks into executable procedures, operational plans, and response actions. • Support integrated mission protection and enterprise operations synchronization for assigned mission systems. • Monitor mission systems, operational status, hazards, and threat activity to identify risks and mission impacts. • Perform operational analysis in support of conjunction and collision avoidance, mission assurance, anomaly response, operational risk assessment, and contingency operations. • Support spectrum protection, RF interference analysis, and deconfliction activities as required. • Support launch, on-orbit, re-entry, and contingency operations, including development and execution of procedures, checklists, and operational timelines. • Assist in the preparation and maintenance of operational products including briefings, status reports, mission assessments, and decision-support materials. • Support development and refinement of tactics, techniques, procedures, concepts of operations, checklists, and training materials. • Assist with mission protection planning, operational plan development, readiness events, and exercise support. • Support evaluation of courses of action, mission protection concepts, and operational recommendations for alignment with customer guidance, mission objectives, and protection priorities. • Integrate threat reporting, operational reporting, and system status information into mission impact assessments and mitigation recommendations. 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 Top-Secret/SCI clearance with CI Poly required. • Experience supporting mission protection, integrated protection strategy, space protection, or other threat-informed operations in space or national security environments. • Ability to translate mission guidance, doctrine, policy, and operational direction into executable mission protection actions, response options, and operational recommendations aligned with mission objectives and protection priorities. Preferred Additional Skills: • Experience working on operations teams in a national security space, satellite operations, mission management, operations integration, or policy/planning environment. • Experience monitoring and assessing hazards, threats, and impacts to mission systems. • Experience with conjunction assessment, collision avoidance, orbital state data, and associated tools such as STK, MATLAB, FreeFlyer, or similar. • Experience supporting launch, early orbit, on-orbit, re-entry, or contingency operations. • Experience developing procedures, checklists, TTPs, CONOPS, operational plans, policy implementation guidance, training materials, or operational briefings. • Experience supporting exercises, readiness events, continuity activities, or operational rehearsals. • Experience with software languages for scripting, modeling, simulations, and data transfers including Python and PERL. • Experience with Microsoft Office suite programs, MS Word, Excel, and PowerPoint. In compliance with pay transparency requirements, the salary range for this role in Virginia - Greater Washington, D.C. Area $92,500 - $171,500.00. 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 Engineering (AWS Cloud) Job Code: 43381 Job Location: Melbourne, FL Job Schedule: 9/80 (Every other Friday off) Job Description: The GGSS Cloud team leverages Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering modern solutions to support customer operations and information management services. We value a strong knowledge of software development best practices and experience delivering & deploying Cloud-ready applications and services. Seeking experienced Software Engineers to join our dynamic team, focusing on operating, maintaining, and sustaining an AWS cloud operational system. Essential Functions: Monitor and implement updates from AWS and third-party suppliers Maintain and enhance our Kubernetes-based cloud architecture Utilize Python, Java or C++ programming languages Support Identity and Access Management (IAM) solutions including single sign on, active directory, or Keycloak Assist in cloud migration of applications Write and maintain comprehensive documentation for developers, administrators, and operators Ensuring consistency across the baseline (version tagging, naming schemes) Leverage networking principles and security best practices in an AWS cloud environment Design and code new software or modify existing software to add new features Ability to obtain a High-Risk NOAA Public Trust clearance. 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. Experience developing and deploying containerized applications using Docker, Podman, Kubernetes, or equivalent. Experience with Linux environments, including scripting, configuration, and software deployment. Experience with configuration management (Ansible, Chef, Puppet) and Infrastructure as Code tools (Terraform, CDK, OpenTofu, Cloud Formation). Preferred Additional Skills: Familiarity with Agile workflow tools and collaborative version control practices (Git, JIRA, Confluence, etc.) Experience with container observability tools such as Prometheus, PromQL, and Grafana Experience with Helm charts and Kubernetes package management Experience with monitoring and logging solutions (Splunk, CloudWatch, etc.) Experience with iterative software development processes (Agile, SCRUM, Kanban) AWS Certified Solutions Architect - Associate Certified Kubernetes Administrator (CKA) AWS Certified DevOps Engineer - Associate 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.
09/28/2026
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 Engineering (AWS Cloud) Job Code: 43381 Job Location: Melbourne, FL Job Schedule: 9/80 (Every other Friday off) Job Description: The GGSS Cloud team leverages Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering modern solutions to support customer operations and information management services. We value a strong knowledge of software development best practices and experience delivering & deploying Cloud-ready applications and services. Seeking experienced Software Engineers to join our dynamic team, focusing on operating, maintaining, and sustaining an AWS cloud operational system. Essential Functions: Monitor and implement updates from AWS and third-party suppliers Maintain and enhance our Kubernetes-based cloud architecture Utilize Python, Java or C++ programming languages Support Identity and Access Management (IAM) solutions including single sign on, active directory, or Keycloak Assist in cloud migration of applications Write and maintain comprehensive documentation for developers, administrators, and operators Ensuring consistency across the baseline (version tagging, naming schemes) Leverage networking principles and security best practices in an AWS cloud environment Design and code new software or modify existing software to add new features Ability to obtain a High-Risk NOAA Public Trust clearance. 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. Experience developing and deploying containerized applications using Docker, Podman, Kubernetes, or equivalent. Experience with Linux environments, including scripting, configuration, and software deployment. Experience with configuration management (Ansible, Chef, Puppet) and Infrastructure as Code tools (Terraform, CDK, OpenTofu, Cloud Formation). Preferred Additional Skills: Familiarity with Agile workflow tools and collaborative version control practices (Git, JIRA, Confluence, etc.) Experience with container observability tools such as Prometheus, PromQL, and Grafana Experience with Helm charts and Kubernetes package management Experience with monitoring and logging solutions (Splunk, CloudWatch, etc.) Experience with iterative software development processes (Agile, SCRUM, Kanban) AWS Certified Solutions Architect - Associate Certified Kubernetes Administrator (CKA) AWS Certified DevOps Engineer - Associate 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: Associate, Software Engineer Job Code: 41581 Job Location: San Diego, CA Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: Apply computer science, engineering, and mathematical analysis concepts and principles in the development of software for the target application Work closely with cross functional members of the engineering organization to develop and evaluate interfaces between hardware and software, and operational performance requirements and design of the overall system Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, integration, and test of embedded software for real-time control of advanced tactical radio equipment Develop software test procedures, software programs, and related documentation Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and evaluate results Participate in peer reviews, identify, track and repair defects Utilize a variety of software languages (i.e., C++, C#, C, Java, Ruby, HTML5, XML, SQL, Perl, Python, Ajax, Qt) on Windows, Linux, mobile platforms, and embedded real time operating systems (VxWorks, Linux, QNX, Integrity, Windows CE, and others for Motorola, Intel, TI, and custom processor designs) Qualifications: To be eligible, applicants must be pursuing a Bachelor's Degree in computer science, Computer Engineering, Software Engineering, Electrical Engineering, Wireless Engineering, Information Security, Mathematics, Digital Arts & Sciences or related field or have completed their Bachelor's degree within the last 12 months, regardless of age. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $75,500 - $140,500. 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.
09/28/2026
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: Associate, Software Engineer Job Code: 41581 Job Location: San Diego, CA Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: Apply computer science, engineering, and mathematical analysis concepts and principles in the development of software for the target application Work closely with cross functional members of the engineering organization to develop and evaluate interfaces between hardware and software, and operational performance requirements and design of the overall system Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, integration, and test of embedded software for real-time control of advanced tactical radio equipment Develop software test procedures, software programs, and related documentation Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and evaluate results Participate in peer reviews, identify, track and repair defects Utilize a variety of software languages (i.e., C++, C#, C, Java, Ruby, HTML5, XML, SQL, Perl, Python, Ajax, Qt) on Windows, Linux, mobile platforms, and embedded real time operating systems (VxWorks, Linux, QNX, Integrity, Windows CE, and others for Motorola, Intel, TI, and custom processor designs) Qualifications: To be eligible, applicants must be pursuing a Bachelor's Degree in computer science, Computer Engineering, Software Engineering, Electrical Engineering, Wireless Engineering, Information Security, Mathematics, Digital Arts & Sciences or related field or have completed their Bachelor's degree within the last 12 months, regardless of age. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $75,500 - $140,500. 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, FPGA/ASIC Hardware Engineer, Electrical Engineering Job Code: 41606 Job Location: Cincinnati, Ohio Job Schedule: 4/10 Job Description: As a Hardware Engineer at L3Harris you will be responsible for architecture, design and development of next generation Electronic Safe and Arm Devices utilizing the latest state of the art technologies.The ideal candidate for this role would share our passion for creating and innovating newtechnologies in a highly dynamic, fast-paced environment. We are looking for highly talented, motivated, and versatile engineers that can create the next generation fuzing solutions. ASIC / FPGA designs will include various sensor interfaces, sequence verification, A/D and D/A interfaces, communication protocols, state machines, timer chains, etc. used in Electronic Safe and Arm Devices (Fuzes) for DOD weapon systems. Microsemi / Actel is our targeted FPGA and QuestaSim is our simulation tool. The primary responsibilities will focus on Verilog FPGA design, System Verilog UVM verification and C# based microcontroller development. Essential Functions: Analysis of the requirements, architecture definition, design and debug of FPGA and associated hardware and microcontroller products and associated firmware. Developing Verilog HDL targeting Antifuse and enhanced Flash FPGA's. Performing effective analysis of functional issues or performance profiling with the hardware and firmware in test environments or target host systems. Contribute to process improvements to ensure hardware-firmware quality and time-to-market. 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. Preferred Additional Skills: Knowledge using Verilog for Logic Design. Programming experience in C for embedded systems, including development of algorithms, manipulation of data structures, and implementing highly optimized code. Experience with lab tools: Logic Analyzers, oscilloscopes, JTAG/ICE debuggers and protocol analyzers Familiar with hardware, software and firmware development methodologies to ensure quality and time-to-market (design verification, code reviews, unit testing, prototyping and product testing). Familiar working with code version control repository tools, such as Subversion (SVN), GIT or TFS. Digital Design practices and principles, logic design and architecture and experience with HDL's (i.e Verilog, VHDL). Knowledge using SystemVerilog for verification with AVM, VMM, OVM, or UVM a plus Developing C# source code targeting Bare-Metal Microcontroller Development. Good English knowledge (speech and writing); Be action-oriented and organized; Ability to handle short notice needs/requests 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.
09/28/2026
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, FPGA/ASIC Hardware Engineer, Electrical Engineering Job Code: 41606 Job Location: Cincinnati, Ohio Job Schedule: 4/10 Job Description: As a Hardware Engineer at L3Harris you will be responsible for architecture, design and development of next generation Electronic Safe and Arm Devices utilizing the latest state of the art technologies.The ideal candidate for this role would share our passion for creating and innovating newtechnologies in a highly dynamic, fast-paced environment. We are looking for highly talented, motivated, and versatile engineers that can create the next generation fuzing solutions. ASIC / FPGA designs will include various sensor interfaces, sequence verification, A/D and D/A interfaces, communication protocols, state machines, timer chains, etc. used in Electronic Safe and Arm Devices (Fuzes) for DOD weapon systems. Microsemi / Actel is our targeted FPGA and QuestaSim is our simulation tool. The primary responsibilities will focus on Verilog FPGA design, System Verilog UVM verification and C# based microcontroller development. Essential Functions: Analysis of the requirements, architecture definition, design and debug of FPGA and associated hardware and microcontroller products and associated firmware. Developing Verilog HDL targeting Antifuse and enhanced Flash FPGA's. Performing effective analysis of functional issues or performance profiling with the hardware and firmware in test environments or target host systems. Contribute to process improvements to ensure hardware-firmware quality and time-to-market. 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. Preferred Additional Skills: Knowledge using Verilog for Logic Design. Programming experience in C for embedded systems, including development of algorithms, manipulation of data structures, and implementing highly optimized code. Experience with lab tools: Logic Analyzers, oscilloscopes, JTAG/ICE debuggers and protocol analyzers Familiar with hardware, software and firmware development methodologies to ensure quality and time-to-market (design verification, code reviews, unit testing, prototyping and product testing). Familiar working with code version control repository tools, such as Subversion (SVN), GIT or TFS. Digital Design practices and principles, logic design and architecture and experience with HDL's (i.e Verilog, VHDL). Knowledge using SystemVerilog for verification with AVM, VMM, OVM, or UVM a plus Developing C# source code targeting Bare-Metal Microcontroller Development. Good English knowledge (speech and writing); Be action-oriented and organized; Ability to handle short notice needs/requests 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, Cloud Software Engineer Job Code: 42034 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: The Mission Networks Cloud Engineering team is growing experienced a Senior Software Engineer to leverage Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering solutions to improve customer operations and to provide information management services. The team values strong knowledge of software development best practices and experience delivering & deploying Cloud based applications and services. As a member of the L3Harris team, you will work alongside various cross-functional teams to help define requirements, software architectures, APIs, serverless frameworks and libraries to ensure the mission critical readiness of programs. You will collaborate as part of a development team to implement Cloud solutions while following proven best practices. The team may work on tasks such as fast prototyping, researching COTS products for integration to L3Harris Cloud applications, or implementing & deploying solutions to meet requirements. Essential Functions: Lead tasks related to design, development and integration of Cloud software applications in an Agile development environment. Develop Cloud based applications and configure the deployment environments to achieve end-to-end integration between Cloud and Non-Cloud components. Implement applications satisfying both the program requirements and the business vision & roadmap for Cloud technologies. Coordinate with development team and customers to review designs and estimates, including identifying and documenting risks, assumptions and limitations. Leverage DevOps concepts and best practices to build and continuously improve the automated build, test and deployment environments for the applications. Provide operational support for applications and tools to meet high availability and other SLAs. Hands-on experience designing, developing, and deploying microservices to a Kubernetes based environments such as EKS, OpenShift, etc. Knowledge of microservice architectural patterns. Perform in cloud environments with focus on containerized workloads, databases, and object storage. Develop scalable, highly-available enterprise systems, ideally for Cloud. Ability to obtain and maintain an FAA public trust clearance. 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: 5+ years Cloud Software Developer 5+ years OOP (Java, C++, Python) 3 years' experience of Java software development including the use of Web Services, JMS, and application servers and JavaScript development with in- depth knowledge of NodeJS or ReactJS 3 years' experience developing applications that leverage relational and noSQL databases. Experience with DevOps tools and concepts, including but not limited to: Jira, Confluence, GitLab, Git, Nexus, Docker, Kubernetes, CI/CD pipelines & automation. AWS Certified Solutions Architect (Associate or Professional) or similar for other Cloud providers JavaScript, JQuery, XML, Web services (REST, SOAP) and/or similar technologies Scripting languages, such as Python and Bash Ability to write well designed, testable, efficient code and coach team to do the same. Experience verifying designs are compliant with specifications. 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.
09/28/2026
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, Cloud Software Engineer Job Code: 42034 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: The Mission Networks Cloud Engineering team is growing experienced a Senior Software Engineer to leverage Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering solutions to improve customer operations and to provide information management services. The team values strong knowledge of software development best practices and experience delivering & deploying Cloud based applications and services. As a member of the L3Harris team, you will work alongside various cross-functional teams to help define requirements, software architectures, APIs, serverless frameworks and libraries to ensure the mission critical readiness of programs. You will collaborate as part of a development team to implement Cloud solutions while following proven best practices. The team may work on tasks such as fast prototyping, researching COTS products for integration to L3Harris Cloud applications, or implementing & deploying solutions to meet requirements. Essential Functions: Lead tasks related to design, development and integration of Cloud software applications in an Agile development environment. Develop Cloud based applications and configure the deployment environments to achieve end-to-end integration between Cloud and Non-Cloud components. Implement applications satisfying both the program requirements and the business vision & roadmap for Cloud technologies. Coordinate with development team and customers to review designs and estimates, including identifying and documenting risks, assumptions and limitations. Leverage DevOps concepts and best practices to build and continuously improve the automated build, test and deployment environments for the applications. Provide operational support for applications and tools to meet high availability and other SLAs. Hands-on experience designing, developing, and deploying microservices to a Kubernetes based environments such as EKS, OpenShift, etc. Knowledge of microservice architectural patterns. Perform in cloud environments with focus on containerized workloads, databases, and object storage. Develop scalable, highly-available enterprise systems, ideally for Cloud. Ability to obtain and maintain an FAA public trust clearance. 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: 5+ years Cloud Software Developer 5+ years OOP (Java, C++, Python) 3 years' experience of Java software development including the use of Web Services, JMS, and application servers and JavaScript development with in- depth knowledge of NodeJS or ReactJS 3 years' experience developing applications that leverage relational and noSQL databases. Experience with DevOps tools and concepts, including but not limited to: Jira, Confluence, GitLab, Git, Nexus, Docker, Kubernetes, CI/CD pipelines & automation. AWS Certified Solutions Architect (Associate or Professional) or similar for other Cloud providers JavaScript, JQuery, XML, Web services (REST, SOAP) and/or similar technologies Scripting languages, such as Python and Bash Ability to write well designed, testable, efficient code and coach team to do the same. Experience verifying designs are compliant with specifications. 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: Sr Associate, Software Engineer Job Code: 41569 Job Location: Salt Lake City, UT Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: As a New Grad you would develop and test embedded software for systems, applying computer science, engineering, and math principles to support real-time control and system performance. Day to day, you'd collaborate with cross-functional engineering teams on requirements, design, integration, hardware/software interfaces, testing, debugging, and defect resolution across the full software development lifecycle. You'd also use a wide range of programming languages, tools, and operating systems to build, evaluate, and document software solutions for embedded and platform-based environments. Essential Functions: Apply computer science, engineering, and mathematical analysis concepts and principles in the development of software for the target application Work closely with cross functional members of the engineering organization to develop and evaluate interfaces between hardware and software, and operational performance requirements and design of the overall system Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, integration, and test of embedded software for real-time control of advanced tactical radio equipment Develop software test procedures, software programs, and related documentation Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and evaluate results Participate in peer reviews, identify, track and repair defects Utilize a variety of software languages (i.e., C++, C#, C, Java, Ruby, HTML5, XML, SQL, Perl, Python, Ajax, Qt) on Windows, Linux, mobile platforms, and embedded real time operating systems (VxWorks, Linux, QNX, Integrity, Windows CE, and others for Motorola, Intel, TI, and custom processor designs) Qualifications: To be eligible, applicants must be pursuing Master's degree in computer science, Computer Engineering, Software Engineering, Electrical Engineering, Information Security or related field or have completed their Master's degree within the last 12 months, regardless of age. 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.
09/28/2026
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: Sr Associate, Software Engineer Job Code: 41569 Job Location: Salt Lake City, UT Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: As a New Grad you would develop and test embedded software for systems, applying computer science, engineering, and math principles to support real-time control and system performance. Day to day, you'd collaborate with cross-functional engineering teams on requirements, design, integration, hardware/software interfaces, testing, debugging, and defect resolution across the full software development lifecycle. You'd also use a wide range of programming languages, tools, and operating systems to build, evaluate, and document software solutions for embedded and platform-based environments. Essential Functions: Apply computer science, engineering, and mathematical analysis concepts and principles in the development of software for the target application Work closely with cross functional members of the engineering organization to develop and evaluate interfaces between hardware and software, and operational performance requirements and design of the overall system Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, integration, and test of embedded software for real-time control of advanced tactical radio equipment Develop software test procedures, software programs, and related documentation Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and evaluate results Participate in peer reviews, identify, track and repair defects Utilize a variety of software languages (i.e., C++, C#, C, Java, Ruby, HTML5, XML, SQL, Perl, Python, Ajax, Qt) on Windows, Linux, mobile platforms, and embedded real time operating systems (VxWorks, Linux, QNX, Integrity, Windows CE, and others for Motorola, Intel, TI, and custom processor designs) Qualifications: To be eligible, applicants must be pursuing Master's degree in computer science, Computer Engineering, Software Engineering, Electrical Engineering, Information Security or related field or have completed their Master's degree within the last 12 months, regardless of age. 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 Associate, Systems Engineer Job Code: 40748 Job Location: Greenville, TX Schedule: 9/80 - Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off. Role will require "on-call" availability during nights and weekends, with potential requirement to come on site during overnight hours. Job Description: The Senior Associate, Systems Engineer (SE) will be responsible for performing technical planning, systems integration, verification and validation, and troubleshooting for total systems and/or subsystems. The ideal candidate will have experience with systems engineer/architect work with a desire to work in a dynamic, fast-paced Quick Reaction Capability (QRC) environment alongside other highly motivated engineering team members. The SE is part of a team that supports the requirements, design, development, test, and integration of complex, specialized hardware/software systems installed on ground and airborne platforms. Essential Functions: Translate the voice of the customer into system-level requirements. Perform requirement traceability, and verification testing. Develop and evaluate trade studies for accuracy and completeness. Evaluate alternative solutions and establish preliminary system designs. Write subsystem specifications based on system-level requirements. Understand physical architectures incorporating voice, video, and data capability across multiple security domains. Create System Block Diagrams. Review and evaluate electrical wiring diagrams to ensure design details trace to system requirements. Interpret complex system ICDs to new architecture designs. Understand test, integration, verification, and validation planning. Write effective verification test procedures to ensure system performance and capabilities meet system requirements. Prepare effective presentations to communicate technical information to both technical and non-technical professionals. Desire to work in a dynamic, fast paced Quick Reaction Capability (QRC) environment. Working knowledge of LAN and VOIP protocols to include IP routing. Knowledge of mission systems: EO/IR, Video, Networks, SI/EW, Avionics Interfaces, etc. Troubleshooting and multi-level testing and analysis of various electrical signal interfaces and RF systems. Knowledge of requirement traceability methods and purpose, and the systems engineering trade study process. Working with subcontractors and U.S. Government customers. Developing, authoring, and implementing system test plans. Engineering efforts involving FAA-certified general category aircraft. Must have an active Secret clearance at the time of hire with the ability to obtain a Top Secret with SCI. Travel: this role will require up to approximately 25% travel once the candidate has been fully trained and ascimilated to the role. Perform other duties as assigned. Qualifications: Bachelor's Degree with 2 years of experience with Aircraft systems architecture design, integration, and/or ground/flight test certification. Graduate Degree with 0-2 years of experience with Aircraft systems architecture design, integration, and/or ground/flight test certification. In Lieu of a degree, a minimum of 6 years of experience with Aircraft systems architecture design, integration, and/or ground/flight test certification. Demonstrated 2 or more years of hands-on experience with systems engineering, configuration, testing, integrating, and/or verifying software and/or hardware in a multi-domain mobile airborne datalink, video, voice and data communication systems environment. Preferred Additional Skills: Active Top Secret/SCI Security Clearance 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.
09/28/2026
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 Associate, Systems Engineer Job Code: 40748 Job Location: Greenville, TX Schedule: 9/80 - Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off. Role will require "on-call" availability during nights and weekends, with potential requirement to come on site during overnight hours. Job Description: The Senior Associate, Systems Engineer (SE) will be responsible for performing technical planning, systems integration, verification and validation, and troubleshooting for total systems and/or subsystems. The ideal candidate will have experience with systems engineer/architect work with a desire to work in a dynamic, fast-paced Quick Reaction Capability (QRC) environment alongside other highly motivated engineering team members. The SE is part of a team that supports the requirements, design, development, test, and integration of complex, specialized hardware/software systems installed on ground and airborne platforms. Essential Functions: Translate the voice of the customer into system-level requirements. Perform requirement traceability, and verification testing. Develop and evaluate trade studies for accuracy and completeness. Evaluate alternative solutions and establish preliminary system designs. Write subsystem specifications based on system-level requirements. Understand physical architectures incorporating voice, video, and data capability across multiple security domains. Create System Block Diagrams. Review and evaluate electrical wiring diagrams to ensure design details trace to system requirements. Interpret complex system ICDs to new architecture designs. Understand test, integration, verification, and validation planning. Write effective verification test procedures to ensure system performance and capabilities meet system requirements. Prepare effective presentations to communicate technical information to both technical and non-technical professionals. Desire to work in a dynamic, fast paced Quick Reaction Capability (QRC) environment. Working knowledge of LAN and VOIP protocols to include IP routing. Knowledge of mission systems: EO/IR, Video, Networks, SI/EW, Avionics Interfaces, etc. Troubleshooting and multi-level testing and analysis of various electrical signal interfaces and RF systems. Knowledge of requirement traceability methods and purpose, and the systems engineering trade study process. Working with subcontractors and U.S. Government customers. Developing, authoring, and implementing system test plans. Engineering efforts involving FAA-certified general category aircraft. Must have an active Secret clearance at the time of hire with the ability to obtain a Top Secret with SCI. Travel: this role will require up to approximately 25% travel once the candidate has been fully trained and ascimilated to the role. Perform other duties as assigned. Qualifications: Bachelor's Degree with 2 years of experience with Aircraft systems architecture design, integration, and/or ground/flight test certification. Graduate Degree with 0-2 years of experience with Aircraft systems architecture design, integration, and/or ground/flight test certification. In Lieu of a degree, a minimum of 6 years of experience with Aircraft systems architecture design, integration, and/or ground/flight test certification. Demonstrated 2 or more years of hands-on experience with systems engineering, configuration, testing, integrating, and/or verifying software and/or hardware in a multi-domain mobile airborne datalink, video, voice and data communication systems environment. Preferred Additional Skills: Active Top Secret/SCI Security Clearance 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.
Machine Learning Engineer 4 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). 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: $197,300 - $225,100 for Machine Learning Engineer 4 McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4 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).
09/28/2026
Full time
Machine Learning Engineer 4 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). 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: $197,300 - $225,100 for Machine Learning Engineer 4 McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4 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).
Sr Lead Machine Learning Engineer Job Description As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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 Machine Learning 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).
09/28/2026
Full time
Sr Lead Machine Learning Engineer Job Description As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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 Machine Learning 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).
Sr. Manager, AI Engineer (IFX) 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. What You'll Do: 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 Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more Invent and introduce state-of-the-art foundation model 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 Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows 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 Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, 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).
09/28/2026
Full time
Sr. Manager, AI Engineer (IFX) 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. What You'll Do: 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 Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more Invent and introduce state-of-the-art foundation model 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 Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows 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 Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, 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, LLM Inference) 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 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).
09/28/2026
Full time
Senior Lead AI Engineer (FM Hosting, LLM Inference) 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 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).
Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). 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: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4 Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4 San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4 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).
09/28/2026
Full time
Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). 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: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4 Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4 San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4 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).
