L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Systems Engineering - FPGA & GPU Job Code: 39548 Job Location: Greenville, TX Job Schedule: 9/80 - Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: Senior Specialist, Systems Engineer - FPGA/GPU & RF Signal Processing. The Senior Specialist, Systems Engineer will be responsible for the architectural design, development, and analysis of advanced FPGA and GPU based signal processing solutions supporting complex ISR sensor systems. The candidate will perform architectural design, coding, test bench development, and simulation activities, while also contributing to broader systems engineering tasks across RF, radar, DSP, and integration domains. This role supports development from concept through integration and delivery, requiring strong analytical skills, technical leadership, and cross-functional coordination. The candidate will set the highest ethical standards for self and others and perform other duties as assigned. Essential Functions: Lead FPGA/GPU architectural design, HDL coding, test bench creation, simulation, and analysis for high performance DSP and signal processing applications. Perform RF, microwave, and radar related analysis including spectrum behavior, propagation effects, receiver/front end characteristics, pulse parameters, PRI/PW/RF measurement, modulation recognition, and emitter characterization. Apply DSP techniques including FFTs, filtering, detection, estimation, and time frequency analysis to support system design and verification. Execute systems engineering tasks including requirements development (JIRA/DOORS), CONOPS definition, integration planning, test procedures, and performance analysis. Work closely with cross-functional engineering teams to plan and conduct system integration testing in laboratory and platform environments. Document system behavior, anomalies, and integration results following established engineering standards; verify and validate system functionality across new and legacy baselines. Support troubleshooting of RF chains, timing/synchronization issues, calibration, and hardware/software interaction during system integration. Collaborate with customers to ensure satisfaction with system performance and to clarify operational requirements. Provide technical updates to management and customers, contributing to schedule, risk, and resource planning. Produce end-user documentation, integration reports, and technical analysis packages as required. Work effectively in a fast-paced environment with time critical program milestones and evolving technical objectives. Active Secret or recently held Top Secret/SCI security clearance with the ability to maintain. Ability to work occasional overtime or weekend hours if required. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant engineering experience. Graduate Degree and a minimum of 4 years of prior related engineering experience. In lieu of a degree, a minimum of 10 years of prior related engineering experience. Demonstrated experience with FPGA or GPU based design, including VHDL/Verilog/CUDA, test benches, and simulation tools. Demonstrated understanding of RF and microwave fundamentals, including antennas, receivers, spectral behavior, and front-end design. Demonstrated experience with signals analysis techniques and tools, including pulse analysis, modulation assessment, and emitter characterization. Demonstrated knowledge of radar fundamentals such as pulse radar, CW/FMCW, LPI principles, scan patterns, and threat system behavior. Demonstrated experience in MATLAB and Python for algorithm development, modeling, automation, data analysis, and visualization. Demonstrated experience working with large IQ/sample data sets and developing automated processing workflows. Demonstrated familiarity with test equipment including spectrum analyzers, signal generators, oscilloscopes, vector signal analyzers, and AWGs. Demonstrated experience with SDR platforms, digitizers, and receiver systems. Preferred Additional Skills: Active TS/SCI. Experience with integration and troubleshooting of complex RF or electronic warfare receiver systems. Experience with JIRA, Confluence, and DOORS for requirements and workflow management. Experience with advanced DSP algorithm development and implementation. Familiarity with system level SEI, LPI/LPE techniques, or advanced emitter analysis methodologies. Experience in software integration and system-level test. Proficiency with standard office and documentation tools. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
08/07/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Systems Engineering - FPGA & GPU Job Code: 39548 Job Location: Greenville, TX Job Schedule: 9/80 - Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: Senior Specialist, Systems Engineer - FPGA/GPU & RF Signal Processing. The Senior Specialist, Systems Engineer will be responsible for the architectural design, development, and analysis of advanced FPGA and GPU based signal processing solutions supporting complex ISR sensor systems. The candidate will perform architectural design, coding, test bench development, and simulation activities, while also contributing to broader systems engineering tasks across RF, radar, DSP, and integration domains. This role supports development from concept through integration and delivery, requiring strong analytical skills, technical leadership, and cross-functional coordination. The candidate will set the highest ethical standards for self and others and perform other duties as assigned. Essential Functions: Lead FPGA/GPU architectural design, HDL coding, test bench creation, simulation, and analysis for high performance DSP and signal processing applications. Perform RF, microwave, and radar related analysis including spectrum behavior, propagation effects, receiver/front end characteristics, pulse parameters, PRI/PW/RF measurement, modulation recognition, and emitter characterization. Apply DSP techniques including FFTs, filtering, detection, estimation, and time frequency analysis to support system design and verification. Execute systems engineering tasks including requirements development (JIRA/DOORS), CONOPS definition, integration planning, test procedures, and performance analysis. Work closely with cross-functional engineering teams to plan and conduct system integration testing in laboratory and platform environments. Document system behavior, anomalies, and integration results following established engineering standards; verify and validate system functionality across new and legacy baselines. Support troubleshooting of RF chains, timing/synchronization issues, calibration, and hardware/software interaction during system integration. Collaborate with customers to ensure satisfaction with system performance and to clarify operational requirements. Provide technical updates to management and customers, contributing to schedule, risk, and resource planning. Produce end-user documentation, integration reports, and technical analysis packages as required. Work effectively in a fast-paced environment with time critical program milestones and evolving technical objectives. Active Secret or recently held Top Secret/SCI security clearance with the ability to maintain. Ability to work occasional overtime or weekend hours if required. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant engineering experience. Graduate Degree and a minimum of 4 years of prior related engineering experience. In lieu of a degree, a minimum of 10 years of prior related engineering experience. Demonstrated experience with FPGA or GPU based design, including VHDL/Verilog/CUDA, test benches, and simulation tools. Demonstrated understanding of RF and microwave fundamentals, including antennas, receivers, spectral behavior, and front-end design. Demonstrated experience with signals analysis techniques and tools, including pulse analysis, modulation assessment, and emitter characterization. Demonstrated knowledge of radar fundamentals such as pulse radar, CW/FMCW, LPI principles, scan patterns, and threat system behavior. Demonstrated experience in MATLAB and Python for algorithm development, modeling, automation, data analysis, and visualization. Demonstrated experience working with large IQ/sample data sets and developing automated processing workflows. Demonstrated familiarity with test equipment including spectrum analyzers, signal generators, oscilloscopes, vector signal analyzers, and AWGs. Demonstrated experience with SDR platforms, digitizers, and receiver systems. Preferred Additional Skills: Active TS/SCI. Experience with integration and troubleshooting of complex RF or electronic warfare receiver systems. Experience with JIRA, Confluence, and DOORS for requirements and workflow management. Experience with advanced DSP algorithm development and implementation. Familiarity with system level SEI, LPI/LPE techniques, or advanced emitter analysis methodologies. Experience in software integration and system-level test. Proficiency with standard office and documentation tools. 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.
MANTECH seeks a motivated, career-oriented SOFTWARE & SYSTEMS ENGINEER to join our team supporting the Marine Corps in STAFFORD, VA. This position will ensure our technical initiatives are executed optimally utilizing modern DevSecOps, programming, and Systems Engineering principles as well as strong project management discipline to tackle operational problems by creating viable technical solutions for transition through research, development, testing & evaluation. Responsibilities include but are not limited to: Provide senior-level expertise in the research, design, and deployment of complex hardware/software solutions, leading prototyping initiatives and maintaining comprehensive architecture documentation and runbooks. Develop, review, and execute highly detailed engineering artifacts (e.g., SEPs, ICDs) and lead Systems Engineering Technical Review (SETR) milestones from preliminary design through software acceptance. Drive the assessment and integration of transformative technical capabilities across ground, air, maritime, and space platforms within both tactical and enterprise information environments. Design and execute comprehensive Test and Evaluation Strategies (TES/TEMP), conducting rigorous functional, integration, regression, and performance testing to validate system requirements. Define and support rigorous Configuration, Change, and Release Management processes (including Engineering Change Proposals) while leading multi-phase risk management assessments. Oversee operational security compliance (DISA STIGs, GPOs, ACAS), perform system monitoring and root-cause analysis, and provide expert Tier 3 troubleshooting for complex Linux-related issues. Lead coordination efforts with vendors, technical staff, and cross-functional stakeholders across multiple organizations to ensure the timely and successful delivery of capabilities. Minimum Qualifications: Bachelor's degree in engineering, computer engineering, information technology, systems engineering, or a related technical discipline with 5+ years or relevant experience. Must hold an active DoD 8570/ DoDi 8140 IAT Level III certification (e.g., CISSP). Extensive experience directing technical teams through the entire SDLC for complex enterprise or tactical operational problems, providing hands-on engineering down to the component, subcomponent, and circuit level; proven background supporting the Marine Corps Information Environment Enterprise (or similar DoD environments) while adhering to ISO/IEC/IEEE, Military (MIL-STD), and Federal (FED-STD) standards, and managing lifecycle testing (unit, integration, system, acceptance) with rigorous test standards, scripts, and plans. Proficiency designing, deploying, hardening, patching, and maintaining RHEL server infrastructures in production environments, with in-depth technical knowledge of SELinux, fapolicy, systemd, firewall configuration, kernel tuning, and performance optimization to troubleshoot complex system and application issues. Experience leveraging Red Hat Satellite, Ansible, and Automation Platform for configuration management alongside virtualization/containerization (KVM, Podman, Docker, OpenShift), CI/CD pipelines, Git, DevOps workflows, and foundational networking (TCP/IP, DNS, DHCP, routing, firewalls, VLANs), combined with hands-on expertise implementing secure protocols, PKI concepts (CA, CRLs, OCSP, key generation/lifecycle management using OpenSSL and Keytool), and RHEL identity tooling to integrate systems with IdM/FreeIPA, LDAP, Active Directory, and Multi-Factor Authentication (MFA). Self-driven analytical thinker capable of managing priorities in fast-paced environments and delivering technical briefings to senior government organizations (including Officer, Enlisted, and Civilian personnel); highly proficient with the Microsoft Family of Software and Tools (Office, Visio, SharePoint, Project) alongside development/task management capabilities like Jira and Confluence. Preferred Qualifications: Direct experience engineering systems/software in the R&D phase aligning with Technology Readiness Levels (TRL) 4 through 7; deep understanding of UAF and DoDAF artifacts, Model-Based Systems Engineering (MBSE), and lifecycle management to design secure, scalable, and redundant architectures. INCOSE CSEP/ESEP certification is highly desirable. Proven experience utilizing ITIL, ITSM, or similar maturity models within Agile Scaled Environments (SAFe); strong familiarity with Agile software coding principles and possession of professional leadership certifications such as Project Management Professional (PMP), Certified Scrum Master (CSM), or Lean Six Sigma. Familiarity with the Marine Corps Operational Test and Evaluation Activity (MCOTEA), including the MCOTEA Operational Test & Evaluation Manual (6th Edition); experience planning Field User Evaluations and Joint Service Exercise events incorporating Electronic Warfare and Intelligence collection platforms under the Risk Management Framework (RMF). Experience designing, modernizing, and maintaining hybrid cloud environments (AWS, Azure, or private cloud) with the demonstrated ability to seamlessly integrate RHEL and Windows systems with enterprise applications, middleware, and cloud services. Strong proficiency with Bash and Python scripting alongside API interactions (REST, JSON, XML) to drive system integration and automation; familiarity with foundational website development, including CSS and web server setup, configuration, and integration. Clearance Requirements: Must have current and active TS/SCI (or SCI eligible) security clearance with the ability to obtain and maintain a CI Poly. Physical Requirements: Physically capable of supporting field exercises, including lifting up to 50 lbs., traversing rugged terrain, and traveling via military tactical vehicles, ships, and aircraft. Must be able to remain in a stationary/ desk position 50% of the time, occasionally and communicate with co-workers, management, and customers, via email, phone, and/or virtual communication, which may involve clearly delivering briefings/ presentations.
08/07/2026
Full time
MANTECH seeks a motivated, career-oriented SOFTWARE & SYSTEMS ENGINEER to join our team supporting the Marine Corps in STAFFORD, VA. This position will ensure our technical initiatives are executed optimally utilizing modern DevSecOps, programming, and Systems Engineering principles as well as strong project management discipline to tackle operational problems by creating viable technical solutions for transition through research, development, testing & evaluation. Responsibilities include but are not limited to: Provide senior-level expertise in the research, design, and deployment of complex hardware/software solutions, leading prototyping initiatives and maintaining comprehensive architecture documentation and runbooks. Develop, review, and execute highly detailed engineering artifacts (e.g., SEPs, ICDs) and lead Systems Engineering Technical Review (SETR) milestones from preliminary design through software acceptance. Drive the assessment and integration of transformative technical capabilities across ground, air, maritime, and space platforms within both tactical and enterprise information environments. Design and execute comprehensive Test and Evaluation Strategies (TES/TEMP), conducting rigorous functional, integration, regression, and performance testing to validate system requirements. Define and support rigorous Configuration, Change, and Release Management processes (including Engineering Change Proposals) while leading multi-phase risk management assessments. Oversee operational security compliance (DISA STIGs, GPOs, ACAS), perform system monitoring and root-cause analysis, and provide expert Tier 3 troubleshooting for complex Linux-related issues. Lead coordination efforts with vendors, technical staff, and cross-functional stakeholders across multiple organizations to ensure the timely and successful delivery of capabilities. Minimum Qualifications: Bachelor's degree in engineering, computer engineering, information technology, systems engineering, or a related technical discipline with 5+ years or relevant experience. Must hold an active DoD 8570/ DoDi 8140 IAT Level III certification (e.g., CISSP). Extensive experience directing technical teams through the entire SDLC for complex enterprise or tactical operational problems, providing hands-on engineering down to the component, subcomponent, and circuit level; proven background supporting the Marine Corps Information Environment Enterprise (or similar DoD environments) while adhering to ISO/IEC/IEEE, Military (MIL-STD), and Federal (FED-STD) standards, and managing lifecycle testing (unit, integration, system, acceptance) with rigorous test standards, scripts, and plans. Proficiency designing, deploying, hardening, patching, and maintaining RHEL server infrastructures in production environments, with in-depth technical knowledge of SELinux, fapolicy, systemd, firewall configuration, kernel tuning, and performance optimization to troubleshoot complex system and application issues. Experience leveraging Red Hat Satellite, Ansible, and Automation Platform for configuration management alongside virtualization/containerization (KVM, Podman, Docker, OpenShift), CI/CD pipelines, Git, DevOps workflows, and foundational networking (TCP/IP, DNS, DHCP, routing, firewalls, VLANs), combined with hands-on expertise implementing secure protocols, PKI concepts (CA, CRLs, OCSP, key generation/lifecycle management using OpenSSL and Keytool), and RHEL identity tooling to integrate systems with IdM/FreeIPA, LDAP, Active Directory, and Multi-Factor Authentication (MFA). Self-driven analytical thinker capable of managing priorities in fast-paced environments and delivering technical briefings to senior government organizations (including Officer, Enlisted, and Civilian personnel); highly proficient with the Microsoft Family of Software and Tools (Office, Visio, SharePoint, Project) alongside development/task management capabilities like Jira and Confluence. Preferred Qualifications: Direct experience engineering systems/software in the R&D phase aligning with Technology Readiness Levels (TRL) 4 through 7; deep understanding of UAF and DoDAF artifacts, Model-Based Systems Engineering (MBSE), and lifecycle management to design secure, scalable, and redundant architectures. INCOSE CSEP/ESEP certification is highly desirable. Proven experience utilizing ITIL, ITSM, or similar maturity models within Agile Scaled Environments (SAFe); strong familiarity with Agile software coding principles and possession of professional leadership certifications such as Project Management Professional (PMP), Certified Scrum Master (CSM), or Lean Six Sigma. Familiarity with the Marine Corps Operational Test and Evaluation Activity (MCOTEA), including the MCOTEA Operational Test & Evaluation Manual (6th Edition); experience planning Field User Evaluations and Joint Service Exercise events incorporating Electronic Warfare and Intelligence collection platforms under the Risk Management Framework (RMF). Experience designing, modernizing, and maintaining hybrid cloud environments (AWS, Azure, or private cloud) with the demonstrated ability to seamlessly integrate RHEL and Windows systems with enterprise applications, middleware, and cloud services. Strong proficiency with Bash and Python scripting alongside API interactions (REST, JSON, XML) to drive system integration and automation; familiarity with foundational website development, including CSS and web server setup, configuration, and integration. Clearance Requirements: Must have current and active TS/SCI (or SCI eligible) security clearance with the ability to obtain and maintain a CI Poly. Physical Requirements: Physically capable of supporting field exercises, including lifting up to 50 lbs., traversing rugged terrain, and traveling via military tactical vehicles, ships, and aircraft. Must be able to remain in a stationary/ desk position 50% of the time, occasionally and communicate with co-workers, management, and customers, via email, phone, and/or virtual communication, which may involve clearly delivering briefings/ presentations.
Date Posted: 2026-06-24 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI with Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. We have an exciting opportunity for a Senior. Principal Platform DevSecOps Engineer, supporting one of our premier programs in the business unit where you will be working with a cross-disciplinary team of Platform engineers and Systems Administrators leading the industry in ground systems solutions. This role entails leading the design, development, implementation, integration, and sustainment of a cloud-based compute, network, and storage infrastructure. The position also focuses on platform modernization by incorporating emerging technologies to optimize performance and efficiency. Utilizing DevOps/DevSecOps methodologies, tools, and automation, the role is critical in streamlining processes, enhancing collaboration, and accelerating software release cycles. As part of the team, you will contribute to the development and operational environments of a large-scale program that supports a critical national asset, ensuring its reliability and innovation in line with mission objectives. Note This position will be filled onsite at the RTX Facility in Aurora CO. What You Will Do Platform Development and Optimization: You will Contribute to the architecture, design, integration, and support of platform and infrastructure environments across build, integration & test, and production stages. Focus on ensuring these environments are optimized for performance, reliability, and scalability within cloud-based ecosystems Best Practices and Automation: You will Utilize industry and company best practices to enhance scalability, consistency, and infrastructure efficiency, while reducing deployment time and automating configuration management processes Cross-Team Collaboration: You will Work closely with software engineers, data scientists, and other agile development teams to design and implement resilient and scalable platform solutions Security and Compliance Integration: You will Embed security and compliance measures into the platform, including services like encryption and access management Operational Support: you will Provide ongoing operational support to maintain the stability, functionality, and performance of the platform Qualifications You Must Have Typically requires BS/BA Degree in Science, Technology Engineering Math (STEM) in Computer Science, Computer Engineering, Information Technology or Physics and a minimum 10 years of related work experience Experience in the installation, configuration, and maintenance of RedHat Linux operating systems Experience with automation frameworks such as Terraform, Ansible, and Chef to streamline infrastructure deployment and management Experience programming or scripting languages such as Python and Bash for automation, configuration, and system operations Active and Current TS/SCI with CI Poly security clearance is required on day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience designing, implementing, and integrating cloud-based systems on infrastructure platforms like AWS Experience in analyzing performance and troubleshooting applications and infrastructure services on Linux-based operating systems Strong infrastructure background managing and troubleshooting servers, networks, storage, and virtualization technologies DevSecOps Framework: Proficiency in developing, testing, and delivering applications within a DevSecOps framework Experience with cloud platforms, preferably AWS, including designing, deploying, and securing cloud services AWS Services Proficiency: Hands-on experience with AWS services such as EC2, EKS, S3, CloudWatch, IAM, and VPC, with a focus on secure and scalable deployments Proficiency in designing, implementing, and integrating platform infrastructure services using containerization technologies such as Kubernetes, Docker, and/or Podman Hands-on experience in deploying, configuring, and supporting CI/CD pipeline tools such as Jira, Confluence, Jenkins, Artifactory, GitLab and Helm Familiarity with security scanning tools like Nessus COTS/FOSS Products: Experience in installation, configuration, and integration of Commercial Off-The-Shelf (COTS) and Free and Open-Source Software (FOSS) products DoD 8570 IAT Level II Certification: Must meet Department of Defense 8570 Information Assurance Technical (IAT) Level II requirements, such as holding a Security+ CE or equivalent certification. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Aurora, CO: We are RTX As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class . click apply for full job details
08/06/2026
Full time
Date Posted: 2026-06-24 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI with Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. We have an exciting opportunity for a Senior. Principal Platform DevSecOps Engineer, supporting one of our premier programs in the business unit where you will be working with a cross-disciplinary team of Platform engineers and Systems Administrators leading the industry in ground systems solutions. This role entails leading the design, development, implementation, integration, and sustainment of a cloud-based compute, network, and storage infrastructure. The position also focuses on platform modernization by incorporating emerging technologies to optimize performance and efficiency. Utilizing DevOps/DevSecOps methodologies, tools, and automation, the role is critical in streamlining processes, enhancing collaboration, and accelerating software release cycles. As part of the team, you will contribute to the development and operational environments of a large-scale program that supports a critical national asset, ensuring its reliability and innovation in line with mission objectives. Note This position will be filled onsite at the RTX Facility in Aurora CO. What You Will Do Platform Development and Optimization: You will Contribute to the architecture, design, integration, and support of platform and infrastructure environments across build, integration & test, and production stages. Focus on ensuring these environments are optimized for performance, reliability, and scalability within cloud-based ecosystems Best Practices and Automation: You will Utilize industry and company best practices to enhance scalability, consistency, and infrastructure efficiency, while reducing deployment time and automating configuration management processes Cross-Team Collaboration: You will Work closely with software engineers, data scientists, and other agile development teams to design and implement resilient and scalable platform solutions Security and Compliance Integration: You will Embed security and compliance measures into the platform, including services like encryption and access management Operational Support: you will Provide ongoing operational support to maintain the stability, functionality, and performance of the platform Qualifications You Must Have Typically requires BS/BA Degree in Science, Technology Engineering Math (STEM) in Computer Science, Computer Engineering, Information Technology or Physics and a minimum 10 years of related work experience Experience in the installation, configuration, and maintenance of RedHat Linux operating systems Experience with automation frameworks such as Terraform, Ansible, and Chef to streamline infrastructure deployment and management Experience programming or scripting languages such as Python and Bash for automation, configuration, and system operations Active and Current TS/SCI with CI Poly security clearance is required on day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience designing, implementing, and integrating cloud-based systems on infrastructure platforms like AWS Experience in analyzing performance and troubleshooting applications and infrastructure services on Linux-based operating systems Strong infrastructure background managing and troubleshooting servers, networks, storage, and virtualization technologies DevSecOps Framework: Proficiency in developing, testing, and delivering applications within a DevSecOps framework Experience with cloud platforms, preferably AWS, including designing, deploying, and securing cloud services AWS Services Proficiency: Hands-on experience with AWS services such as EC2, EKS, S3, CloudWatch, IAM, and VPC, with a focus on secure and scalable deployments Proficiency in designing, implementing, and integrating platform infrastructure services using containerization technologies such as Kubernetes, Docker, and/or Podman Hands-on experience in deploying, configuring, and supporting CI/CD pipeline tools such as Jira, Confluence, Jenkins, Artifactory, GitLab and Helm Familiarity with security scanning tools like Nessus COTS/FOSS Products: Experience in installation, configuration, and integration of Commercial Off-The-Shelf (COTS) and Free and Open-Source Software (FOSS) products DoD 8570 IAT Level II Certification: Must meet Department of Defense 8570 Information Assurance Technical (IAT) Level II requirements, such as holding a Security+ CE or equivalent certification. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Aurora, CO: We are RTX As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class . click apply for full job details
Senior Lead Machine Learning Engineer 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 in the role: 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 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 New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 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).
08/06/2026
Full time
Senior Lead Machine Learning Engineer 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 in the role: 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 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 New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 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).
Senior Lead Machine Learning Engineer 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 in the role: 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 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 New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 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).
08/06/2026
Full time
Senior Lead Machine Learning Engineer 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 in the role: 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 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 New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 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).
Senior Machine Learning Engineer (AI Foundations) 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. Capital One is accelerating the adoption of state of the art AI research to create simpler, safer banking experiences for over 100 million customers. The AI Foundations team spearheads this mission by developing advanced LLMs and autonomous agentic systems capable of complex reasoning and real world problem solving. Their comprehensive research framework prioritizes foundational model architecture, operational efficiency, and responsible AI practices to ensure all systems are trustworthy and scalable. 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or 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: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior 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).
08/06/2026
Full time
Senior Machine Learning Engineer (AI Foundations) 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. Capital One is accelerating the adoption of state of the art AI research to create simpler, safer banking experiences for over 100 million customers. The AI Foundations team spearheads this mission by developing advanced LLMs and autonomous agentic systems capable of complex reasoning and real world problem solving. Their comprehensive research framework prioritizes foundational model architecture, operational efficiency, and responsible AI practices to ensure all systems are trustworthy and scalable. 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or 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: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior 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).
Senior Lead Machine Learning Engineer 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 in the role: 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 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 New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 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).
08/06/2026
Full time
Senior Lead Machine Learning Engineer 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 in the role: 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 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 New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 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).
Senior Machine Learning Engineer (AI Foundations) 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. Capital One is accelerating the adoption of state of the art AI research to create simpler, safer banking experiences for over 100 million customers. The AI Foundations team spearheads this mission by developing advanced LLMs and autonomous agentic systems capable of complex reasoning and real world problem solving. Their comprehensive research framework prioritizes foundational model architecture, operational efficiency, and responsible AI practices to ensure all systems are trustworthy and scalable. 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or 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: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior 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).
08/06/2026
Full time
Senior Machine Learning Engineer (AI Foundations) 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. Capital One is accelerating the adoption of state of the art AI research to create simpler, safer banking experiences for over 100 million customers. The AI Foundations team spearheads this mission by developing advanced LLMs and autonomous agentic systems capable of complex reasoning and real world problem solving. Their comprehensive research framework prioritizes foundational model architecture, operational efficiency, and responsible AI practices to ensure all systems are trustworthy and scalable. 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or 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: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior 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).
Senior Lead Machine Learning Engineer 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 in the role: 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 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 New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 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).
08/06/2026
Full time
Senior Lead Machine Learning Engineer 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 in the role: 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 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 New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 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).
About The Role & Team Walt Disney Imagineering is the creative force that imagines, designs, and brings to life all Disney theme parks, resorts, attractions, and cruise ships worldwide. Working across a spectrum of disciplines that range from creative and conceptual to scientific and technical, Imagineers blend an innovative mixture of storytelling, art, science, and technology to create immersive experiences, memorable destinations, and innovative entertainment for families around the globe. Nearly every project at Walt Disney Imagineering includes a first-of-its-kind. Innovation is in our DNA, and Imagineers constantly push the boundaries of technology and invent new goals as well as the solutions to achieve them. As Imagineers, one of our greatest rewards is knowing that the experiences and environments we create inspire others. The diversity of expertise at Imagineering makes us uniquely capable of influencing positive change in our communities and around the world. And knowing that we have helped make a difference is incredibly fulfilling and inspiring for all of us. Ride Control Hardware Engineers work within Walt Disney Imagineering's Ride Studio in a highly collaborative environment on diverse teams. Engineering activities cover all aspects of control system design and implementation, from concept to commissioning, for a wide variety of innovative ride platforms. The Ride Control Hardware Engineer will report to the Ride Control Systems Engineering Executive. This is a full time role. What You Will Do: Support programmable, electrical, and electronic hardware scope to design and deliver control systems for complex, innovative ride systems Perform engineering design and analysis for ride systems, focusing on electrical control systems Develop control system and network architectures Design, model, and analyze electrical supply systems Research new products, technologies, and methodologies Lead a team of ride control engineers and collaborate with other professionals to develop ride control systems Develop control equipment requirements and specifications Develop and implement proof-of-concept mock-ups and prototypes Conduct hazard assessments and failure modes and effects analysis Manage vendors, contractors, and consultants developing and implementing ride control systems Define and oversee supplier and consultant design and delivery Ensure all delivery and performance requirements are satisfied Conduct factory acceptance tests and ride system installation Required Qualifications & Skills 5+ years of Controls Experience Experienced in fail-safe and safety-related control system design Extensive knowledge of control processors, components, and communication networks Highly proficient in industrial control system installation, integration, and commissioning Solid understanding of communication protocols: TCP/IP, CAN, serial, ProfiNET, Ethernet/IP, EtherCAT Extensive knowledge of electrical design standards and codes, including UL508a and NEC Familiarity with amusement and automation industry standards, including ASTM F2291 Expertise in motor and motion control methods and components Ability to travel domestically and internationally for 1-week to 3-year durations Ability to handle multiple complex efforts simultaneously, coordinate team efforts, and manage tasks and priorities Preferred Qualifications & Skills Licensed professional engineer Proficient with engineering design tools including AutoCAD, Matlab, Simulink, Solidworks, EPLAN Proficient in Rockwell and Siemens automation systems architecture and components Electrical and troubleshooting skills (voltmeter, oscilloscope, etc.) Knowledge of international amusement industry standards applicable in France, Hong Kong, or China Education Bachelor of Science Degree or above in engineering field required Additional Information: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for The Senior Ride Controls Hardware Engineer in Glendale, CA is $129,300.00-$173,300.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/05/2026
Full time
About The Role & Team Walt Disney Imagineering is the creative force that imagines, designs, and brings to life all Disney theme parks, resorts, attractions, and cruise ships worldwide. Working across a spectrum of disciplines that range from creative and conceptual to scientific and technical, Imagineers blend an innovative mixture of storytelling, art, science, and technology to create immersive experiences, memorable destinations, and innovative entertainment for families around the globe. Nearly every project at Walt Disney Imagineering includes a first-of-its-kind. Innovation is in our DNA, and Imagineers constantly push the boundaries of technology and invent new goals as well as the solutions to achieve them. As Imagineers, one of our greatest rewards is knowing that the experiences and environments we create inspire others. The diversity of expertise at Imagineering makes us uniquely capable of influencing positive change in our communities and around the world. And knowing that we have helped make a difference is incredibly fulfilling and inspiring for all of us. Ride Control Hardware Engineers work within Walt Disney Imagineering's Ride Studio in a highly collaborative environment on diverse teams. Engineering activities cover all aspects of control system design and implementation, from concept to commissioning, for a wide variety of innovative ride platforms. The Ride Control Hardware Engineer will report to the Ride Control Systems Engineering Executive. This is a full time role. What You Will Do: Support programmable, electrical, and electronic hardware scope to design and deliver control systems for complex, innovative ride systems Perform engineering design and analysis for ride systems, focusing on electrical control systems Develop control system and network architectures Design, model, and analyze electrical supply systems Research new products, technologies, and methodologies Lead a team of ride control engineers and collaborate with other professionals to develop ride control systems Develop control equipment requirements and specifications Develop and implement proof-of-concept mock-ups and prototypes Conduct hazard assessments and failure modes and effects analysis Manage vendors, contractors, and consultants developing and implementing ride control systems Define and oversee supplier and consultant design and delivery Ensure all delivery and performance requirements are satisfied Conduct factory acceptance tests and ride system installation Required Qualifications & Skills 5+ years of Controls Experience Experienced in fail-safe and safety-related control system design Extensive knowledge of control processors, components, and communication networks Highly proficient in industrial control system installation, integration, and commissioning Solid understanding of communication protocols: TCP/IP, CAN, serial, ProfiNET, Ethernet/IP, EtherCAT Extensive knowledge of electrical design standards and codes, including UL508a and NEC Familiarity with amusement and automation industry standards, including ASTM F2291 Expertise in motor and motion control methods and components Ability to travel domestically and internationally for 1-week to 3-year durations Ability to handle multiple complex efforts simultaneously, coordinate team efforts, and manage tasks and priorities Preferred Qualifications & Skills Licensed professional engineer Proficient with engineering design tools including AutoCAD, Matlab, Simulink, Solidworks, EPLAN Proficient in Rockwell and Siemens automation systems architecture and components Electrical and troubleshooting skills (voltmeter, oscilloscope, etc.) Knowledge of international amusement industry standards applicable in France, Hong Kong, or China Education Bachelor of Science Degree or above in engineering field required Additional Information: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for The Senior Ride Controls Hardware Engineer in Glendale, CA is $129,300.00-$173,300.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
About The Role & Team Walt Disney Imagineering is the creative force that imagines, designs, and brings to life all Disney theme parks, resorts, attractions, and cruise ships worldwide. Working across a spectrum of disciplines that range from creative and conceptual to scientific and technical, Imagineers blend an innovative mixture of storytelling, art, science, and technology to create immersive experiences, memorable destinations, and innovative entertainment for families around the globe. Nearly every project at Walt Disney Imagineering includes a first-of-its-kind. Innovation is in our DNA, and Imagineers constantly push the boundaries of technology and invent new goals as well as the solutions to achieve them. As Imagineers, one of our greatest rewards is knowing that the experiences and environments we create inspire others. The diversity of expertise at Imagineering makes us uniquely capable of influencing positive change in our communities and around the world. And knowing that we have helped make a difference is incredibly fulfilling and inspiring for all of us. Ride Control Hardware Engineers work within Walt Disney Imagineering's Ride Studio in a highly collaborative environment on diverse teams. Engineering activities cover all aspects of control system design and implementation, from concept to commissioning, for a wide variety of innovative ride platforms. The Ride Control Hardware Engineer will report to the Ride Control Systems Engineering Executive. This is a full time role. What You Will Do: Support programmable, electrical, and electronic hardware scope to design and deliver control systems for complex, innovative ride systems Perform engineering design and analysis for ride systems, focusing on electrical control systems Develop control system and network architectures Design, model, and analyze electrical supply systems Research new products, technologies, and methodologies Lead a team of ride control engineers and collaborate with other professionals to develop ride control systems Develop control equipment requirements and specifications Develop and implement proof-of-concept mock-ups and prototypes Conduct hazard assessments and failure modes and effects analysis Manage vendors, contractors, and consultants developing and implementing ride control systems Define and oversee supplier and consultant design and delivery Ensure all delivery and performance requirements are satisfied Conduct factory acceptance tests and ride system installation Required Qualifications & Skills 5+ years of Controls Experience Experienced in fail-safe and safety-related control system design Extensive knowledge of control processors, components, and communication networks Highly proficient in industrial control system installation, integration, and commissioning Solid understanding of communication protocols: TCP/IP, CAN, serial, ProfiNET, Ethernet/IP, EtherCAT Extensive knowledge of electrical design standards and codes, including UL508a and NEC Familiarity with amusement and automation industry standards, including ASTM F2291 Expertise in motor and motion control methods and components Ability to travel domestically and internationally for 1-week to 3-year durations Ability to handle multiple complex efforts simultaneously, coordinate team efforts, and manage tasks and priorities Preferred Qualifications & Skills Licensed professional engineer Proficient with engineering design tools including AutoCAD, Matlab, Simulink, Solidworks, EPLAN Proficient in Rockwell and Siemens automation systems architecture and components Electrical and troubleshooting skills (voltmeter, oscilloscope, etc.) Knowledge of international amusement industry standards applicable in France, Hong Kong, or China Education Bachelor of Science Degree or above in engineering field required Additional Information: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for The Senior Ride Controls Hardware Engineer in Glendale, CA is $129,300.00-$173,300.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/02/2026
Full time
About The Role & Team Walt Disney Imagineering is the creative force that imagines, designs, and brings to life all Disney theme parks, resorts, attractions, and cruise ships worldwide. Working across a spectrum of disciplines that range from creative and conceptual to scientific and technical, Imagineers blend an innovative mixture of storytelling, art, science, and technology to create immersive experiences, memorable destinations, and innovative entertainment for families around the globe. Nearly every project at Walt Disney Imagineering includes a first-of-its-kind. Innovation is in our DNA, and Imagineers constantly push the boundaries of technology and invent new goals as well as the solutions to achieve them. As Imagineers, one of our greatest rewards is knowing that the experiences and environments we create inspire others. The diversity of expertise at Imagineering makes us uniquely capable of influencing positive change in our communities and around the world. And knowing that we have helped make a difference is incredibly fulfilling and inspiring for all of us. Ride Control Hardware Engineers work within Walt Disney Imagineering's Ride Studio in a highly collaborative environment on diverse teams. Engineering activities cover all aspects of control system design and implementation, from concept to commissioning, for a wide variety of innovative ride platforms. The Ride Control Hardware Engineer will report to the Ride Control Systems Engineering Executive. This is a full time role. What You Will Do: Support programmable, electrical, and electronic hardware scope to design and deliver control systems for complex, innovative ride systems Perform engineering design and analysis for ride systems, focusing on electrical control systems Develop control system and network architectures Design, model, and analyze electrical supply systems Research new products, technologies, and methodologies Lead a team of ride control engineers and collaborate with other professionals to develop ride control systems Develop control equipment requirements and specifications Develop and implement proof-of-concept mock-ups and prototypes Conduct hazard assessments and failure modes and effects analysis Manage vendors, contractors, and consultants developing and implementing ride control systems Define and oversee supplier and consultant design and delivery Ensure all delivery and performance requirements are satisfied Conduct factory acceptance tests and ride system installation Required Qualifications & Skills 5+ years of Controls Experience Experienced in fail-safe and safety-related control system design Extensive knowledge of control processors, components, and communication networks Highly proficient in industrial control system installation, integration, and commissioning Solid understanding of communication protocols: TCP/IP, CAN, serial, ProfiNET, Ethernet/IP, EtherCAT Extensive knowledge of electrical design standards and codes, including UL508a and NEC Familiarity with amusement and automation industry standards, including ASTM F2291 Expertise in motor and motion control methods and components Ability to travel domestically and internationally for 1-week to 3-year durations Ability to handle multiple complex efforts simultaneously, coordinate team efforts, and manage tasks and priorities Preferred Qualifications & Skills Licensed professional engineer Proficient with engineering design tools including AutoCAD, Matlab, Simulink, Solidworks, EPLAN Proficient in Rockwell and Siemens automation systems architecture and components Electrical and troubleshooting skills (voltmeter, oscilloscope, etc.) Knowledge of international amusement industry standards applicable in France, Hong Kong, or China Education Bachelor of Science Degree or above in engineering field required Additional Information: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for The Senior Ride Controls Hardware Engineer in Glendale, CA is $129,300.00-$173,300.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Description: Air Treatment Corporation is a dynamic, collaborative work environment. We understand the expectations of high-quality customer service, therefore we actively search and promote a cohesive team that is formulated to exceed expectations. We are devoted to the growth of our employees and look to provide opportunities for advancement from within, while providing a robust benefit package to our team members. Title: AI SOLUTIONS ENGINEER (LEAD) Salary: Exempt Reports to: Matt Lowe, IT Manager Location: Brea, CA (On-Site) Estimated Pay Range: $120,000.00 - $145,000.00 Job Summary: Air Treatment Corporation (ATC) is looking for an experienced, hands-on AI Solutions Engineer to own how artificial intelligence gets adopted across our business. You will set the AI roadmap with leadership, design and deploy production-grade automation and AI tooling integrated with our core systems and build the internal capability of our team. This is a high-autonomy role for a proven builder: you will be the company's AI subject-matter expert, and your judgment will shape where we invest and what we ship. You do not need HVAC industry experience on day one - you need a track record of taking AI and automation solutions from idea to reliable, adopted, production use in a real business. Duties/Responsibilities: 1.AI Strategy & Roadmap •Partner with leadership and department heads to map workflows and identify high-value AI and automation opportunities across operations, sales, and field service •Build and maintain a prioritized AI roadmap based on business impact, feasibility, ROI, and team readiness •Evaluate vendors, platforms, and build-vs-buy tradeoffs; manage related budgets and subscriptions •Present recommendations, results, and ROI to leadership in clear business terms 2. Design, Build & Operate AI Solutions •Architect and deploy production AI solutions: automation workflows, AI agents, chatbots, and data pipelines •Integrate AI tooling with ATC's existing systems (CRM, ERP, email, scheduling, field service management) via APIs and middleware •Ensure compliance with security, ethical standards and data privacy regulations in all AI applications. •Stay updated on the latest trends and advancements in AI technologies and methodologies to ensure adoption and direct relevance over time. 3. Build Organizational Capability •Develop the training program and run hands-on enablement sessions for ATC staff at all levels. •Champion a culture of experimentation and continuous improvement with AI. •Serve as the company-wide subject-matter expert for AI strategy, tools, and governance. •Mentor and coach colleagues, including potential future junior technical hires. Requirements: Education and Experience: •Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. •4+ years of professional experience in software development, automation engineering, data engineering, or AI/ML implementation. •Demonstrated track record of designing, deploying, and maintaining AI or automation solutions in production business environments; candidates should be prepared to discuss specific deployed solutions and their measurable impact. •Strong proficiency in Python and SQL, with experience working with APIs, webhooks, and system integrations. •Hands-on experience with modern AI platforms and frameworks (e.g., OpenAI, Anthropic/Claude, Microsoft Copilot, LangChain, or similar) and workflow automation tools (e.g., Zapier, Make, Power Automate). •Experience integrating business systems such as CRM, ERP, or field service management platforms is highly desirable. •Knowledge of data governance, security best practices and responsible AI principles. •Experience supporting organizations with distribution, manufacturing, construction, industrial services, or similar operational environments is preferred. •Demonstrated ability to operate independently, define solutions for complex or ambiguous business challenges, establish priorities, and deliver results for senior leadership. •Experience leading technology adoption, process improvement, or change management initiatives with small to mid-sized organizations is a plus. •Excellent communication skills, with the ability to translate technical concepts into practical business solutions for executives, managers, and non-technical stakeholders. Physical Requirements: •Ability to remain in a stationary position for extended periods while working at a computer. •Frequent use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. •Capability to communicate effectively in person and via digital platforms. •Occasional need to move or transport items weighing up to 25 pounds, such as computers and relevant office supplies. •Adequate visual acuity to read and interpret data on screens and printed materials. •Ability to travel to other sites for support or presentations. •Capacity to adapt to a dynamic work environment, including multitasking and managing stress effectively. At Air Treatment Corporation, we are committed to growth, innovation, and excellence. As leading experts in HVAC & R solutions, we recognize that the success of our team drives the success of our company. This is echoed in our commitment to a workplace built on fairness, professionalism, and opportunity, ensuring that every team member is valued. Join our team and contribute your unique skills and perspectives to help us continue delivering industry-leading solutions. Compensation details: 00 Yearly Salary PIefcef4ad0d85-0085
08/02/2026
Full time
Description: Air Treatment Corporation is a dynamic, collaborative work environment. We understand the expectations of high-quality customer service, therefore we actively search and promote a cohesive team that is formulated to exceed expectations. We are devoted to the growth of our employees and look to provide opportunities for advancement from within, while providing a robust benefit package to our team members. Title: AI SOLUTIONS ENGINEER (LEAD) Salary: Exempt Reports to: Matt Lowe, IT Manager Location: Brea, CA (On-Site) Estimated Pay Range: $120,000.00 - $145,000.00 Job Summary: Air Treatment Corporation (ATC) is looking for an experienced, hands-on AI Solutions Engineer to own how artificial intelligence gets adopted across our business. You will set the AI roadmap with leadership, design and deploy production-grade automation and AI tooling integrated with our core systems and build the internal capability of our team. This is a high-autonomy role for a proven builder: you will be the company's AI subject-matter expert, and your judgment will shape where we invest and what we ship. You do not need HVAC industry experience on day one - you need a track record of taking AI and automation solutions from idea to reliable, adopted, production use in a real business. Duties/Responsibilities: 1.AI Strategy & Roadmap •Partner with leadership and department heads to map workflows and identify high-value AI and automation opportunities across operations, sales, and field service •Build and maintain a prioritized AI roadmap based on business impact, feasibility, ROI, and team readiness •Evaluate vendors, platforms, and build-vs-buy tradeoffs; manage related budgets and subscriptions •Present recommendations, results, and ROI to leadership in clear business terms 2. Design, Build & Operate AI Solutions •Architect and deploy production AI solutions: automation workflows, AI agents, chatbots, and data pipelines •Integrate AI tooling with ATC's existing systems (CRM, ERP, email, scheduling, field service management) via APIs and middleware •Ensure compliance with security, ethical standards and data privacy regulations in all AI applications. •Stay updated on the latest trends and advancements in AI technologies and methodologies to ensure adoption and direct relevance over time. 3. Build Organizational Capability •Develop the training program and run hands-on enablement sessions for ATC staff at all levels. •Champion a culture of experimentation and continuous improvement with AI. •Serve as the company-wide subject-matter expert for AI strategy, tools, and governance. •Mentor and coach colleagues, including potential future junior technical hires. Requirements: Education and Experience: •Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. •4+ years of professional experience in software development, automation engineering, data engineering, or AI/ML implementation. •Demonstrated track record of designing, deploying, and maintaining AI or automation solutions in production business environments; candidates should be prepared to discuss specific deployed solutions and their measurable impact. •Strong proficiency in Python and SQL, with experience working with APIs, webhooks, and system integrations. •Hands-on experience with modern AI platforms and frameworks (e.g., OpenAI, Anthropic/Claude, Microsoft Copilot, LangChain, or similar) and workflow automation tools (e.g., Zapier, Make, Power Automate). •Experience integrating business systems such as CRM, ERP, or field service management platforms is highly desirable. •Knowledge of data governance, security best practices and responsible AI principles. •Experience supporting organizations with distribution, manufacturing, construction, industrial services, or similar operational environments is preferred. •Demonstrated ability to operate independently, define solutions for complex or ambiguous business challenges, establish priorities, and deliver results for senior leadership. •Experience leading technology adoption, process improvement, or change management initiatives with small to mid-sized organizations is a plus. •Excellent communication skills, with the ability to translate technical concepts into practical business solutions for executives, managers, and non-technical stakeholders. Physical Requirements: •Ability to remain in a stationary position for extended periods while working at a computer. •Frequent use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. •Capability to communicate effectively in person and via digital platforms. •Occasional need to move or transport items weighing up to 25 pounds, such as computers and relevant office supplies. •Adequate visual acuity to read and interpret data on screens and printed materials. •Ability to travel to other sites for support or presentations. •Capacity to adapt to a dynamic work environment, including multitasking and managing stress effectively. At Air Treatment Corporation, we are committed to growth, innovation, and excellence. As leading experts in HVAC & R solutions, we recognize that the success of our team drives the success of our company. This is echoed in our commitment to a workplace built on fairness, professionalism, and opportunity, ensuring that every team member is valued. Join our team and contribute your unique skills and perspectives to help us continue delivering industry-leading solutions. Compensation details: 00 Yearly Salary PIefcef4ad0d85-0085
WORK AUTHORIZATION: This position is not eligible for employment visa sponsorship now or in the future. As a Systems Engineer I, you are responsible for designing, implementing, and maintaining cloud platform systems that support critical business initiatives. The primary focus of this role is Azure cloud infrastructure, including networking, compute, resource groups, subscriptions, governance, PaaS services, security, Azure Policy, and tagging standards. You will work closely with senior engineers and cross-functional partners, using infrastructure-as-code tools such as Terraform and Bicep to build scalable, secure platforms. This position is a strong individual contributor role with opportunities to lead smaller initiatives or defined components of larger projects. Candidates are expected to be self-motivated, detail-oriented, and comfortable managing multiple priorities with minimal supervision, while demonstrating strong communication and collaboration skills-working independently on defined initiatives and partnering effectively with senior engineers and cross-functional teams to deliver secure, scalable Azure solutions. What You'll Do: Support hybrid cloud and on premises architectures aligned with business and security requirements Design, implement, and support Azure and Entra ID infrastructure at enterprise scale Participate in platform upgrades, lifecycle management, and standardization efforts Contribute to VMware ESXi, Microsoft Windows Server, Active Directory, and system maintenance activities Operations & Reliability: Partner with IT teams to maintain platform stability through monitoring, patching, tuning, and incident response Participate in an on call rotation and contribute to root cause analysis and remediation Standards & Documentation: Follow engineering standards and help improve operational processes Maintain system documentation, diagrams, and runbooks Review environments for security, policy compliance, and operational readiness Projects & Delivery: Act as a technical contributor on multiple initiatives Collaborate with engineers and leaders to deliver solutions on time and within scope Provide estimates, identify risks, and communicate progress effectively Learning & Continuous Improvement: Stay current with relevant infrastructure technologies Apply new knowledge to improve reliability, efficiency, and scalability Qualifications: Bachelor's degree in computer science or a related field, or equivalent professional experience 3+ years of engineering experience supporting Azure solutions in hybrid cloud and on premises Windows Server environments Strong Hands on experience with Microsoft Azure and Entra ID Working knowledge of VMware ESXi and Microsoft Hyper V virtualization platforms is a plus Experience with Active Directory administration is a plus Scripting or automation experience using Terraform or Bicep preferred, PowerShell a plus. Familiarity with platform monitoring, management, and alerting tools Azure or Identity related certifications preferred Strong verbal and written communication skills Self motivated, detail oriented, and able to work independently and collaboratively Compensation Details: $88400 - $110700 per year Why should you join our team? We live our values - W.E.L.I.G.H.T (Winning, Excellence, Love, Integrity, Gratitude, Humility, and Teamwork). Gratitude. Humility. Love. You don't often see values like these in most corporate statements, but Ace is different. These things are important to us. They represent our commitment to the company, our employees, to Ace retailers and to the Ace brand. In addition to providing our employees a great culture, Ace also offers competitive benefits that address life's necessities and perks, many of which expand and improve year after year, including: Incentive opportunities, based on role/grade level (company growth over the past 5 years resulted in incentives being paid out at an average of 122% of your target opportunity!) Generous 401(k) retirement savings plan with a fully vested matching contribution the first year in addition to quarterly contributions and annual discretionary contribution (once eligibility requirements have been met). Over the past 5 years, company contributions (matching, quarterly & discretionary) for fully eligible employees have averaged 10% of total eligible compensation Comprehensive health coverage (medical, dental, vision and disability - up to 26 weeks short-term disability and long-term disability) & life insurance benefits for you and your dependents 21 days of vacation immediately available (prorated in the first year) and up to 6 paid holidays depending on the month of hire Company Car, phone and fuel card are provided for field-based positions Your career at Ace is more than just a job. It's a chance to be part of something meaningful. We help locally-owned businesses thrive and make an impact in their communities - and we support our employees in doing the same by offering an annual Ace Cares Week, 20 hours off work per year to volunteer at an organization of your choice, opportunities to help Children's Miracle Network Hospitals and the Ace Helpful Fund through the Ace Foundation Ace invests in every employee we hire, with a key focus on development and coaching. We offer on-site classes, facilitator-led courses, and a generous tuition assistance program, plus a performance management approach that goes beyond the typical annual review We know the work environment matters. That's why Ace holds frequent campus events like Employee Appreciation Week, vendor demos, cookouts, and merchandise sales We bring them to you! Services such as mobile spas, auto maintenance, car wash and detailing, dry cleaning, dentists, eye doctors, flu shots, recycling and more! Employee discounts on Ace merchandise (including top brands like Weber, Traeger, Yeti, Craftsman, DeWalt and more), travel, fitness, computers and thousands more Birth/Adoption bonding paid time off Adoption cost reimbursement Employee Assistance Program (EAP) - access to free visits to therapists and lawyers, guidance on financial matters, elder and childcare, and assistance with tickets to entertainment events Identity theft protection Benefits are provided in compliance with applicable policies. Want to be notified when new jobs are posted? Follow the link below to create an account and set up custom job alerts: Create Job Alert We want to hear from you! When most people think of career opportunities with Ace Hardware, they often think of the helpful cashiers and sales associates at their local store. However, have you also considered the people behind the scenes who select, promote, ship and process the invoices for more than 75,000 products? Maybe you haven't, but we'd like you to. Because together we help our customers take care of their homes. Come find out why a career with the Ace Hardware Corporation is one of America's best kept secrets. Equal Opportunity Employer Ace Hardware Corporation is committed to a policy of promoting equal employment opportunities. The company recognizes the importance of diversity and leveraging the skills and talents of all people to the mutual advantage of each individual and the organization. The company is committed to the prevention of employment discrimination related to race, religion, color, sex (including sexual harassment), gender identity, national origin, age, marital status, disability and military or veteran status, sexual orientation or any other action covered by federal or applicable state/local laws. Disclaimer The pay range for this position starts as listed in the job posting, but could be higher based on education and experience. Please note, compensation decisions are dependent on the facts and circumstances of each opening. We take into consideration the minimum requirements outlined in the job description, such as an individual's education, training and experience, the position's work location, required travel (if any), and external market conditions when determining the final salary for potential new hires. Be aware that salary estimates published via alternate online job boards may not be a true representation of the actual pay range offered for this position. Please refer to the Ace position description for the accurate starting pay range information and feel free to discuss this with a Talent Acquisition professional if you are chosen to move forward with an interview. This written "Position Description" is not intended to cover all aspects of the position listed. It is meant to cover the basic/general essential job functions of a particular position. Ace Hardware Corporation reserves the right to change job duties, including essential job functions, according to business necessity. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
08/01/2026
Full time
WORK AUTHORIZATION: This position is not eligible for employment visa sponsorship now or in the future. As a Systems Engineer I, you are responsible for designing, implementing, and maintaining cloud platform systems that support critical business initiatives. The primary focus of this role is Azure cloud infrastructure, including networking, compute, resource groups, subscriptions, governance, PaaS services, security, Azure Policy, and tagging standards. You will work closely with senior engineers and cross-functional partners, using infrastructure-as-code tools such as Terraform and Bicep to build scalable, secure platforms. This position is a strong individual contributor role with opportunities to lead smaller initiatives or defined components of larger projects. Candidates are expected to be self-motivated, detail-oriented, and comfortable managing multiple priorities with minimal supervision, while demonstrating strong communication and collaboration skills-working independently on defined initiatives and partnering effectively with senior engineers and cross-functional teams to deliver secure, scalable Azure solutions. What You'll Do: Support hybrid cloud and on premises architectures aligned with business and security requirements Design, implement, and support Azure and Entra ID infrastructure at enterprise scale Participate in platform upgrades, lifecycle management, and standardization efforts Contribute to VMware ESXi, Microsoft Windows Server, Active Directory, and system maintenance activities Operations & Reliability: Partner with IT teams to maintain platform stability through monitoring, patching, tuning, and incident response Participate in an on call rotation and contribute to root cause analysis and remediation Standards & Documentation: Follow engineering standards and help improve operational processes Maintain system documentation, diagrams, and runbooks Review environments for security, policy compliance, and operational readiness Projects & Delivery: Act as a technical contributor on multiple initiatives Collaborate with engineers and leaders to deliver solutions on time and within scope Provide estimates, identify risks, and communicate progress effectively Learning & Continuous Improvement: Stay current with relevant infrastructure technologies Apply new knowledge to improve reliability, efficiency, and scalability Qualifications: Bachelor's degree in computer science or a related field, or equivalent professional experience 3+ years of engineering experience supporting Azure solutions in hybrid cloud and on premises Windows Server environments Strong Hands on experience with Microsoft Azure and Entra ID Working knowledge of VMware ESXi and Microsoft Hyper V virtualization platforms is a plus Experience with Active Directory administration is a plus Scripting or automation experience using Terraform or Bicep preferred, PowerShell a plus. Familiarity with platform monitoring, management, and alerting tools Azure or Identity related certifications preferred Strong verbal and written communication skills Self motivated, detail oriented, and able to work independently and collaboratively Compensation Details: $88400 - $110700 per year Why should you join our team? We live our values - W.E.L.I.G.H.T (Winning, Excellence, Love, Integrity, Gratitude, Humility, and Teamwork). Gratitude. Humility. Love. You don't often see values like these in most corporate statements, but Ace is different. These things are important to us. They represent our commitment to the company, our employees, to Ace retailers and to the Ace brand. In addition to providing our employees a great culture, Ace also offers competitive benefits that address life's necessities and perks, many of which expand and improve year after year, including: Incentive opportunities, based on role/grade level (company growth over the past 5 years resulted in incentives being paid out at an average of 122% of your target opportunity!) Generous 401(k) retirement savings plan with a fully vested matching contribution the first year in addition to quarterly contributions and annual discretionary contribution (once eligibility requirements have been met). Over the past 5 years, company contributions (matching, quarterly & discretionary) for fully eligible employees have averaged 10% of total eligible compensation Comprehensive health coverage (medical, dental, vision and disability - up to 26 weeks short-term disability and long-term disability) & life insurance benefits for you and your dependents 21 days of vacation immediately available (prorated in the first year) and up to 6 paid holidays depending on the month of hire Company Car, phone and fuel card are provided for field-based positions Your career at Ace is more than just a job. It's a chance to be part of something meaningful. We help locally-owned businesses thrive and make an impact in their communities - and we support our employees in doing the same by offering an annual Ace Cares Week, 20 hours off work per year to volunteer at an organization of your choice, opportunities to help Children's Miracle Network Hospitals and the Ace Helpful Fund through the Ace Foundation Ace invests in every employee we hire, with a key focus on development and coaching. We offer on-site classes, facilitator-led courses, and a generous tuition assistance program, plus a performance management approach that goes beyond the typical annual review We know the work environment matters. That's why Ace holds frequent campus events like Employee Appreciation Week, vendor demos, cookouts, and merchandise sales We bring them to you! Services such as mobile spas, auto maintenance, car wash and detailing, dry cleaning, dentists, eye doctors, flu shots, recycling and more! Employee discounts on Ace merchandise (including top brands like Weber, Traeger, Yeti, Craftsman, DeWalt and more), travel, fitness, computers and thousands more Birth/Adoption bonding paid time off Adoption cost reimbursement Employee Assistance Program (EAP) - access to free visits to therapists and lawyers, guidance on financial matters, elder and childcare, and assistance with tickets to entertainment events Identity theft protection Benefits are provided in compliance with applicable policies. Want to be notified when new jobs are posted? Follow the link below to create an account and set up custom job alerts: Create Job Alert We want to hear from you! When most people think of career opportunities with Ace Hardware, they often think of the helpful cashiers and sales associates at their local store. However, have you also considered the people behind the scenes who select, promote, ship and process the invoices for more than 75,000 products? Maybe you haven't, but we'd like you to. Because together we help our customers take care of their homes. Come find out why a career with the Ace Hardware Corporation is one of America's best kept secrets. Equal Opportunity Employer Ace Hardware Corporation is committed to a policy of promoting equal employment opportunities. The company recognizes the importance of diversity and leveraging the skills and talents of all people to the mutual advantage of each individual and the organization. The company is committed to the prevention of employment discrimination related to race, religion, color, sex (including sexual harassment), gender identity, national origin, age, marital status, disability and military or veteran status, sexual orientation or any other action covered by federal or applicable state/local laws. Disclaimer The pay range for this position starts as listed in the job posting, but could be higher based on education and experience. Please note, compensation decisions are dependent on the facts and circumstances of each opening. We take into consideration the minimum requirements outlined in the job description, such as an individual's education, training and experience, the position's work location, required travel (if any), and external market conditions when determining the final salary for potential new hires. Be aware that salary estimates published via alternate online job boards may not be a true representation of the actual pay range offered for this position. Please refer to the Ace position description for the accurate starting pay range information and feel free to discuss this with a Talent Acquisition professional if you are chosen to move forward with an interview. This written "Position Description" is not intended to cover all aspects of the position listed. It is meant to cover the basic/general essential job functions of a particular position. Ace Hardware Corporation reserves the right to change job duties, including essential job functions, according to business necessity. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Tech Summary The IS Consultant IV, Application Security position is a senior hands-on technical role responsible for leading complex application security assessments and advancing secure software development practices across the organization. The consultant will conduct secure code reviews, static and dynamic application security testing, open source component analysis, API and mobile application security assessments, threat modeling, security architecture reviews, vulnerability validation, and remediation guidance. The ideal candidate has advanced software development and application security experience using Java, Python, JavaScript, .NET, Swift, or similar technologies. The candidate should have practical experience with application security testing solutions, penetration testing tools such as Burp Suite or OWASP ZAP, and integrating security controls into CI/CD pipelines. This role requires the ability to independently lead complex assessments, define secure development standards and guardrails, evaluate third party applications, and influence architecture and engineering decisions. The consultant will collaborate with developers, architects, product owners, vendors, security leaders, and executive stakeholders to communicate technical risk clearly and provide actionable remediation recommendations. Experience with cloud native applications, APIs, mobile applications, AI enabled applications, DevSecOps automation, and healthcare or other regulated environments is preferred. Job Summary: In addition to responsibilities listed below, this position is responsible for reviewing application source code for potential security vulnerabilities by performing manual and automated security testing on applications in a running state (DAST); working with DevOps teams to integrate application security services; training DevOps personnel and developers to use application security tools; working one-on-one with developers to help them understand security vulnerabilities at hand and to identify/suggest remediation plans; and recommending application security training paths. This also includes responsibility for protecting applications in production by enrolling them for continuous assessment of existing and emerging threats, evaluating web application firewalls; tuning WAF rules; reviewing alerts; and identifying issues as appropriate. Essential Responsibilities: Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating and assigning resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks, as appropriate; and recognizing and capitalizing on improvement opportunities. Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others and managers; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback. Effectively communicates investigative findings to non-technical audiences. Collaborates with technology risk teams and business stakeholders to respond to and remediate identified issues, and determine the best approach for improving security posture. Provides recommendations to management and business stakeholders on how to remediate issues identified through security testing processes. Identifies the impact of security test plans on upstream and downstream solution components. Supports information sharing and integration procedures across cyber security through the exchange of threat intelligence and cyber security vulnerability assessment data. Contributes to cyber security intellectual capital by making process or procedure improvements, conducting brown bag training sessions, and creating new training documents. Follows established processes to ensure KPI goals are obtained and performance metrics are tracked on an ongoing basis. Recommends business line or business technology team security process improvements which align with sustainable best practices, and the strategic and tactical goals of the business. Supports continuous process improvement by participating in the development, implementation, and maintenance of standardized security tools, templates, and processes across multiple business domains. Performs complex security test data analysis in support of security vulnerability assessment processes, including root cause analysis. Serves as an escalation point on issues, dependencies, and risks related to security testing. Executes the vulnerability assessment and penetration testing plan, methodologies, and standard processes for moderately to highly complex technology initiatives across multiple IT domains by analyzing business and technology requirements. Researches and stays abreast of industry trends, emerging threats, best practices, and cutting edge techniques to creatively discover and exploit vulnerabilities, and recommend security solutions for technology systems. Provides insight and consultation on the development of testing scope and approach, and collaborates with cross-functional IT and business stakeholders to review the overall testing approach. Validates security test scenarios across various SDLC phases (e.g., development, reproduction, production) for low- to moderately-complex projects. Generates scheduled reports (e.g., status updates, risk assessment reports, remediation reports) and provides regular security metrics to IT teams and management as appropriate. Minimum Qualifications: Minimum three (3) years software or application development experience. Minimum one (1) year experience in application security (e.g., source code analysis, dynamic analysis, etc.). Bachelors degree in Business Administration, Computer Science, Social Science, Mathematics, or related field and Minimum six (6) years experience in IT or a related field, including Minimum two (2) years in information security, network engineering, or application development. Additional equivalent work experience may be substituted for the degree requirement. Additional Requirements:
07/30/2026
Full time
Tech Summary The IS Consultant IV, Application Security position is a senior hands-on technical role responsible for leading complex application security assessments and advancing secure software development practices across the organization. The consultant will conduct secure code reviews, static and dynamic application security testing, open source component analysis, API and mobile application security assessments, threat modeling, security architecture reviews, vulnerability validation, and remediation guidance. The ideal candidate has advanced software development and application security experience using Java, Python, JavaScript, .NET, Swift, or similar technologies. The candidate should have practical experience with application security testing solutions, penetration testing tools such as Burp Suite or OWASP ZAP, and integrating security controls into CI/CD pipelines. This role requires the ability to independently lead complex assessments, define secure development standards and guardrails, evaluate third party applications, and influence architecture and engineering decisions. The consultant will collaborate with developers, architects, product owners, vendors, security leaders, and executive stakeholders to communicate technical risk clearly and provide actionable remediation recommendations. Experience with cloud native applications, APIs, mobile applications, AI enabled applications, DevSecOps automation, and healthcare or other regulated environments is preferred. Job Summary: In addition to responsibilities listed below, this position is responsible for reviewing application source code for potential security vulnerabilities by performing manual and automated security testing on applications in a running state (DAST); working with DevOps teams to integrate application security services; training DevOps personnel and developers to use application security tools; working one-on-one with developers to help them understand security vulnerabilities at hand and to identify/suggest remediation plans; and recommending application security training paths. This also includes responsibility for protecting applications in production by enrolling them for continuous assessment of existing and emerging threats, evaluating web application firewalls; tuning WAF rules; reviewing alerts; and identifying issues as appropriate. Essential Responsibilities: Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating and assigning resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks, as appropriate; and recognizing and capitalizing on improvement opportunities. Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others and managers; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback. Effectively communicates investigative findings to non-technical audiences. Collaborates with technology risk teams and business stakeholders to respond to and remediate identified issues, and determine the best approach for improving security posture. Provides recommendations to management and business stakeholders on how to remediate issues identified through security testing processes. Identifies the impact of security test plans on upstream and downstream solution components. Supports information sharing and integration procedures across cyber security through the exchange of threat intelligence and cyber security vulnerability assessment data. Contributes to cyber security intellectual capital by making process or procedure improvements, conducting brown bag training sessions, and creating new training documents. Follows established processes to ensure KPI goals are obtained and performance metrics are tracked on an ongoing basis. Recommends business line or business technology team security process improvements which align with sustainable best practices, and the strategic and tactical goals of the business. Supports continuous process improvement by participating in the development, implementation, and maintenance of standardized security tools, templates, and processes across multiple business domains. Performs complex security test data analysis in support of security vulnerability assessment processes, including root cause analysis. Serves as an escalation point on issues, dependencies, and risks related to security testing. Executes the vulnerability assessment and penetration testing plan, methodologies, and standard processes for moderately to highly complex technology initiatives across multiple IT domains by analyzing business and technology requirements. Researches and stays abreast of industry trends, emerging threats, best practices, and cutting edge techniques to creatively discover and exploit vulnerabilities, and recommend security solutions for technology systems. Provides insight and consultation on the development of testing scope and approach, and collaborates with cross-functional IT and business stakeholders to review the overall testing approach. Validates security test scenarios across various SDLC phases (e.g., development, reproduction, production) for low- to moderately-complex projects. Generates scheduled reports (e.g., status updates, risk assessment reports, remediation reports) and provides regular security metrics to IT teams and management as appropriate. Minimum Qualifications: Minimum three (3) years software or application development experience. Minimum one (1) year experience in application security (e.g., source code analysis, dynamic analysis, etc.). Bachelors degree in Business Administration, Computer Science, Social Science, Mathematics, or related field and Minimum six (6) years experience in IT or a related field, including Minimum two (2) years in information security, network engineering, or application development. Additional equivalent work experience may be substituted for the degree requirement. Additional Requirements:
Tech Summary This principal-level individual contributor serves within Kaiser Permanente's Container Platform and Adoption Services organization and provides technical leadership for the enterprise container platform service spanning on-premises and public-cloud environments. The department's mission is to deliver a consistent, secure, resilient, and supportable platform experience that enables application modernization and scalable adoption across the organization. The Container Platform Engineering Lead sets the technical direction for platform engineering and establishes the reusable standards, architectural guardrails, automation approaches, and engineering practices needed to operate the service as one enterprise capability. The position leads complex designs for shared platforms, dedicated environments, application onboarding, developer tooling, data services, enterprise middleware, and other specialized workloads while remaining actively engaged in engineering and implementation. The role works across application delivery, cloud and infrastructure engineering, cybersecurity, networking, observability, reliability engineering, enterprise architecture, and external service providers to translate strategy and risk requirements into practical platform outcomes. Through design leadership, technical governance, mentoring, and partnership with the Operations Lead, this position reduces fragmented solutions, improves engineering quality and platform reliability, and creates the repeatable capabilities required to modernize mission-critical healthcare applications at enterprise scale. This principal-level individual contributor serves within Kaiser Permanente's Container Platform and Adoption Services organization and provides technical leadership for the enterprise container platform service spanning on-premises and public-cloud environments. The department's mission is to deliver a consistent, secure, resilient, and supportable platform experience that enables application modernization and scalable adoption across the organization. The Container Platform Engineering Lead sets the technical direction for platform engineering and establishes the reusable standards, architectural guardrails, automation approaches, and engineering practices needed to operate the service as one enterprise capability. The position leads complex designs for shared platforms, dedicated environments, application onboarding, developer tooling, data services, enterprise middleware, and other specialized workloads while remaining actively engaged in engineering and implementation. The role works across application delivery, cloud and infrastructure engineering, cybersecurity, networking, observability, reliability engineering, enterprise architecture, and external service providers to translate strategy and risk requirements into practical platform outcomes. Through design leadership, technical governance, mentoring, and partnership with the Operations Lead, this position reduces fragmented solutions, improves engineering quality and platform reliability, and creates the repeatable capabilities required to modernize mission-critical healthcare applications at enterprise scale. Job Summary: This senior level employee is primarily responsible for influencing and leveraging the technical direction of integrated business and/or enterprise application solutions and for serving as an expert for technical teams. This employee is accountable for ensuring software solutions are managed with full adherence to industry best practices. Essential Responsibilities: Drives the execution of multiple work streams by identifying customer and operational needs; developing and updating new procedures and policies; gaining cross-functional support for objectives and priorities; translating business strategy into actionable business requirements; obtaining and distributing resources; setting standards and measuring progress; removing obstacles that impact performance; guiding performance and developing contingency plans accordingly; solving highly complex issues; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by soliciting and acting on performance feedback; building collaborative, cross-functional relationships; communicating information and providing advice to drive projects forward; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership; influencing, mentoring, and coaching team members; fostering open dialogue amongst team members; evaluating and responding to the strengths and weaknesses of self and unit members; and adapting to and learning from change, difficulties, and feedback. Provides insight into recommendations for complex technical solutions that meet design and functional needs. Serves as an expert for innovative technical solutions that meet design and functional needs. Collaborates with architects and/or software consultants to ensure functional specifications are converted into flexible, scalable, and maintainable solution designs. Provides technical expertise for the development, configuration, or modification of integrated business and/or enterprise application solutions within various computing environments by providing insight, guidance, and an escalation point for the design and coding of component-based applications. Translates business requirements and functional specifications into physical program designs, code modules, stable application systems, and software solutions by partnering with Business Analysts and other team members to understand business needs and functional specifications. Leverages networks to drive collaboration between technical teams, architects, and/or software consultants, and ensure functional specifications are converted into flexible, scalable, and maintainable solution designs. Builds and maintains trusting relationships with internal customers, third party vendors, and senior management to ensure the alignment, buy-in, and support of diverse project stakeholders. Oversees the review and implementation of recommendations of technical solutions across multiple functions. Takes accountability for ensuring specific interfaces, methods, parameters, procedures, and functions support technical solutions and are aligned with architectural designs. Derives an overall strategy of data management, within an established Information Architecture, that supports the business model. Identifies information structures and detail to enable the development and secure operation of new information services. Takes overall responsibility for planning effective information storage, sharing, and publishing within the organization. Sets strategies for effective use of database technology taking account of the complex interrelations between hardware/software. Provides specialist expertise in the development, use, or operation of database management system tools and facilities. Provides expert knowledge in the selection, provision, and use of database architectures, software, and facilities, typically taking responsibility for a team of technical staff. Facilitates and serves as a technical expert for project teams throughout the release schedule of business and enterprise software solutions. Provides expertise and guidance to team members for systems incident responses for complex issues. Fosters and leverages partnerships with IT teams and vendors to ensure written code adheres to company architectural standards, design patterns, and technical specification. Maintains and enhances technical expertise and knowledge of industry trends by attending participating conferences, and developing a network with other IT industry experts. Leads consultation efforts to help ensure new and existing software solutions are developed with insight into industry best practices, strategies, and architectures. Provides expert technical advice and recommendations to others within the organization on matters related to software engineering, including market trends, and new programs and applications. Reviews and verifies resource estimates for complex technical design, coding, and testing efforts. Identifies specific interfaces, methods, parameters, procedures, and functions, as required, to support technical solutions, serving as an escalation point for complex or unresolved issues related to requirements translation. As part of the IT Engineering job family, this position is responsible for leveraging DEVOPS, and both Waterfall and Agile practices, to design, develop, and deliver resilient, secure, multi-channel, high-volume, high-transaction, on/off-premise, cloud-based solutions. Minimum Qualifications: Minimum six (6) years experience working on project(s) involving the implementation of solutions applying development life cycles (e.g., SDLC). Minimum four (4) years in a technical leadership role with or without direct reports. Bachelors degree in Computer Science, CIS, or related field and Minimum ten (10) years experience in software development or a related field. Additional equivalent work experience may be substituted for the degree requirement.
07/28/2026
Full time
Tech Summary This principal-level individual contributor serves within Kaiser Permanente's Container Platform and Adoption Services organization and provides technical leadership for the enterprise container platform service spanning on-premises and public-cloud environments. The department's mission is to deliver a consistent, secure, resilient, and supportable platform experience that enables application modernization and scalable adoption across the organization. The Container Platform Engineering Lead sets the technical direction for platform engineering and establishes the reusable standards, architectural guardrails, automation approaches, and engineering practices needed to operate the service as one enterprise capability. The position leads complex designs for shared platforms, dedicated environments, application onboarding, developer tooling, data services, enterprise middleware, and other specialized workloads while remaining actively engaged in engineering and implementation. The role works across application delivery, cloud and infrastructure engineering, cybersecurity, networking, observability, reliability engineering, enterprise architecture, and external service providers to translate strategy and risk requirements into practical platform outcomes. Through design leadership, technical governance, mentoring, and partnership with the Operations Lead, this position reduces fragmented solutions, improves engineering quality and platform reliability, and creates the repeatable capabilities required to modernize mission-critical healthcare applications at enterprise scale. This principal-level individual contributor serves within Kaiser Permanente's Container Platform and Adoption Services organization and provides technical leadership for the enterprise container platform service spanning on-premises and public-cloud environments. The department's mission is to deliver a consistent, secure, resilient, and supportable platform experience that enables application modernization and scalable adoption across the organization. The Container Platform Engineering Lead sets the technical direction for platform engineering and establishes the reusable standards, architectural guardrails, automation approaches, and engineering practices needed to operate the service as one enterprise capability. The position leads complex designs for shared platforms, dedicated environments, application onboarding, developer tooling, data services, enterprise middleware, and other specialized workloads while remaining actively engaged in engineering and implementation. The role works across application delivery, cloud and infrastructure engineering, cybersecurity, networking, observability, reliability engineering, enterprise architecture, and external service providers to translate strategy and risk requirements into practical platform outcomes. Through design leadership, technical governance, mentoring, and partnership with the Operations Lead, this position reduces fragmented solutions, improves engineering quality and platform reliability, and creates the repeatable capabilities required to modernize mission-critical healthcare applications at enterprise scale. Job Summary: This senior level employee is primarily responsible for influencing and leveraging the technical direction of integrated business and/or enterprise application solutions and for serving as an expert for technical teams. This employee is accountable for ensuring software solutions are managed with full adherence to industry best practices. Essential Responsibilities: Drives the execution of multiple work streams by identifying customer and operational needs; developing and updating new procedures and policies; gaining cross-functional support for objectives and priorities; translating business strategy into actionable business requirements; obtaining and distributing resources; setting standards and measuring progress; removing obstacles that impact performance; guiding performance and developing contingency plans accordingly; solving highly complex issues; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by soliciting and acting on performance feedback; building collaborative, cross-functional relationships; communicating information and providing advice to drive projects forward; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership; influencing, mentoring, and coaching team members; fostering open dialogue amongst team members; evaluating and responding to the strengths and weaknesses of self and unit members; and adapting to and learning from change, difficulties, and feedback. Provides insight into recommendations for complex technical solutions that meet design and functional needs. Serves as an expert for innovative technical solutions that meet design and functional needs. Collaborates with architects and/or software consultants to ensure functional specifications are converted into flexible, scalable, and maintainable solution designs. Provides technical expertise for the development, configuration, or modification of integrated business and/or enterprise application solutions within various computing environments by providing insight, guidance, and an escalation point for the design and coding of component-based applications. Translates business requirements and functional specifications into physical program designs, code modules, stable application systems, and software solutions by partnering with Business Analysts and other team members to understand business needs and functional specifications. Leverages networks to drive collaboration between technical teams, architects, and/or software consultants, and ensure functional specifications are converted into flexible, scalable, and maintainable solution designs. Builds and maintains trusting relationships with internal customers, third party vendors, and senior management to ensure the alignment, buy-in, and support of diverse project stakeholders. Oversees the review and implementation of recommendations of technical solutions across multiple functions. Takes accountability for ensuring specific interfaces, methods, parameters, procedures, and functions support technical solutions and are aligned with architectural designs. Derives an overall strategy of data management, within an established Information Architecture, that supports the business model. Identifies information structures and detail to enable the development and secure operation of new information services. Takes overall responsibility for planning effective information storage, sharing, and publishing within the organization. Sets strategies for effective use of database technology taking account of the complex interrelations between hardware/software. Provides specialist expertise in the development, use, or operation of database management system tools and facilities. Provides expert knowledge in the selection, provision, and use of database architectures, software, and facilities, typically taking responsibility for a team of technical staff. Facilitates and serves as a technical expert for project teams throughout the release schedule of business and enterprise software solutions. Provides expertise and guidance to team members for systems incident responses for complex issues. Fosters and leverages partnerships with IT teams and vendors to ensure written code adheres to company architectural standards, design patterns, and technical specification. Maintains and enhances technical expertise and knowledge of industry trends by attending participating conferences, and developing a network with other IT industry experts. Leads consultation efforts to help ensure new and existing software solutions are developed with insight into industry best practices, strategies, and architectures. Provides expert technical advice and recommendations to others within the organization on matters related to software engineering, including market trends, and new programs and applications. Reviews and verifies resource estimates for complex technical design, coding, and testing efforts. Identifies specific interfaces, methods, parameters, procedures, and functions, as required, to support technical solutions, serving as an escalation point for complex or unresolved issues related to requirements translation. As part of the IT Engineering job family, this position is responsible for leveraging DEVOPS, and both Waterfall and Agile practices, to design, develop, and deliver resilient, secure, multi-channel, high-volume, high-transaction, on/off-premise, cloud-based solutions. Minimum Qualifications: Minimum six (6) years experience working on project(s) involving the implementation of solutions applying development life cycles (e.g., SDLC). Minimum four (4) years in a technical leadership role with or without direct reports. Bachelors degree in Computer Science, CIS, or related field and Minimum ten (10) years experience in software development or a related field. Additional equivalent work experience may be substituted for the degree requirement.
