L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Software Engineering (DevSecOps) Job Code: 44023 Job Location: Colorado Springs, Colorado Job Schedule: 9/80 - Employees work 9 out of every 14 days - totaling 80 hours worked (Every Other Friday Off) Job Description: The National Space Test and Training Complex-Orbital (NSTTC-O) Range Control Software (RCS) program operates a mission-critical platform stack across on-premises OpenStack and Amazon Web Services (AWS) GovCloud within a rigorous Joint Special Access Program Implementation Guide (JSIG) and Risk Management Framework (RMF) compliance envelope, and is seeking a senior technical leader to guide and strengthen that infrastructure layer. As the program prepares for the Region 2 data center migration, the Development, Integration, and Test (DevI&T) Integrated Product Team (IPT) seeks an experienced Integrated Product Team Lead (IPTL) to lead platform engineering, coordinate subcontractor delivery, and provide the clear technical direction needed to keep delivery pipelines producing compliant increments and the Authorization to Operate (ATO) defensible without sacrificing strategic oversight. Essential Functions: Lead platform engineering for the Amazon Web Services GovCloud and OpenStack environment. Direct the infrastructure work supporting the Region 2 data center migration. Build and sustain infrastructure automation and deployment workflows. Establish and maintain delivery pipelines using Bitbucket, Jenkins, GitLab, and related tools. Develop and maintain infrastructure and configuration automation using Terraform, Ansible, shell scripting, and Python. Integrate security and compliance considerations into platform operations and delivery. Coordinate platform-engineering execution and subcontractor delivery. Travel up to 15% as needed to support program and customer requirements. Qualifications: Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. Current CompTIA Security+ certification. Active TS/SCI security clearance. Preferred Additional Skills: Experience designing, deploying, and sustaining Amazon Web Services GovCloud and OpenStack infrastructure. Experience administering and troubleshooting Linux-based systems in production environments. Experience deploying, operating, and securing Kubernetes environments. Experience with infrastructure-as-code and configuration automation using Terraform and Ansible. Experience with shell scripting and Python. Amazon Web Services certification, such as Amazon Web Services Certified Solutions Architect or a role-aligned specialty certification. Certified OpenStack Administrator certification or comparable OpenStack certification. Red Hat Certified System Administrator or Red Hat Certified Engineer certification. Experience building and maintaining delivery pipelines in Bitbucket, Jenkins, and GitLab. Experience implementing automated security and compliance checks within delivery pipelines. Experience supporting on-premises-to-cloud or data-center migration efforts in regulated environments. Experience with Helm, Argo CD, Packer, or comparable deployment and configuration automation tools. Experience developing automation or operational tooling using Lua. In compliance with pay transparency requirements, the salary range for this role in Colorado state is $117,000-$218,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this position will close on 10/30/2026. 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.
10/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Software Engineering (DevSecOps) Job Code: 44023 Job Location: Colorado Springs, Colorado Job Schedule: 9/80 - Employees work 9 out of every 14 days - totaling 80 hours worked (Every Other Friday Off) Job Description: The National Space Test and Training Complex-Orbital (NSTTC-O) Range Control Software (RCS) program operates a mission-critical platform stack across on-premises OpenStack and Amazon Web Services (AWS) GovCloud within a rigorous Joint Special Access Program Implementation Guide (JSIG) and Risk Management Framework (RMF) compliance envelope, and is seeking a senior technical leader to guide and strengthen that infrastructure layer. As the program prepares for the Region 2 data center migration, the Development, Integration, and Test (DevI&T) Integrated Product Team (IPT) seeks an experienced Integrated Product Team Lead (IPTL) to lead platform engineering, coordinate subcontractor delivery, and provide the clear technical direction needed to keep delivery pipelines producing compliant increments and the Authorization to Operate (ATO) defensible without sacrificing strategic oversight. Essential Functions: Lead platform engineering for the Amazon Web Services GovCloud and OpenStack environment. Direct the infrastructure work supporting the Region 2 data center migration. Build and sustain infrastructure automation and deployment workflows. Establish and maintain delivery pipelines using Bitbucket, Jenkins, GitLab, and related tools. Develop and maintain infrastructure and configuration automation using Terraform, Ansible, shell scripting, and Python. Integrate security and compliance considerations into platform operations and delivery. Coordinate platform-engineering execution and subcontractor delivery. Travel up to 15% as needed to support program and customer requirements. Qualifications: Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. Current CompTIA Security+ certification. Active TS/SCI security clearance. Preferred Additional Skills: Experience designing, deploying, and sustaining Amazon Web Services GovCloud and OpenStack infrastructure. Experience administering and troubleshooting Linux-based systems in production environments. Experience deploying, operating, and securing Kubernetes environments. Experience with infrastructure-as-code and configuration automation using Terraform and Ansible. Experience with shell scripting and Python. Amazon Web Services certification, such as Amazon Web Services Certified Solutions Architect or a role-aligned specialty certification. Certified OpenStack Administrator certification or comparable OpenStack certification. Red Hat Certified System Administrator or Red Hat Certified Engineer certification. Experience building and maintaining delivery pipelines in Bitbucket, Jenkins, and GitLab. Experience implementing automated security and compliance checks within delivery pipelines. Experience supporting on-premises-to-cloud or data-center migration efforts in regulated environments. Experience with Helm, Argo CD, Packer, or comparable deployment and configuration automation tools. Experience developing automation or operational tooling using Lua. In compliance with pay transparency requirements, the salary range for this role in Colorado state is $117,000-$218,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this position will close on 10/30/2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Systems Engineer Job Code: 44434 Job Location: Fort Wayne, Indiana Job Schedule: 9/80 (Every Other Friday Off!) Job Description: The L3Harris Spectral Solutions division is seeking a Systems Engineer to support the development of advanced space-based remote sensing systems for missile warning and missile defense missions. This role will contribute to the design, development, integration, and evaluation of next-generation sensor capabilities focused on detection and tracking, algorithm development, calibration, and performance verification. The Senior Specialist Systems Engineer will work across multidisciplinary teams to define system requirements, support sensor and payload performance analysis, and help mature technical solutions from concept through test and validation. The role will have a strong emphasis on developing and assessing detection and tracking approaches, supporting algorithm design and refinement, and ensuring sensor calibration and verification activities are executed to meet mission performance objectives. Key responsibilities include analyzing sensor system performance, developing and evaluating algorithms for target detection and tracking, supporting calibration planning and execution, defining verification methods and success criteria, and working closely with hardware, software, modeling and simulation, and test teams to ensure end-to-end system effectiveness. The role also includes supporting technical reviews, risk reduction efforts, and the translation of mission needs into actionable engineering requirements. Ideal candidates will have experience with infrared or electro-optical sensing systems, space or missile defense mission applications, systems engineering processes, and performance assessment methods. Strong analytical skills, technical collaboration, and the ability to work across the full development lifecycle are essential. This position in in Fort Wayne: Essential Functions: • Support development of image and video processing algorithm solutions for space based infrared systems. • Perform performance analyses of image and video processing algorithms in support of system level trade studies. Support systems engineering trade studies, CONOP development, and modeling/simulation efforts. • Work alongside embedded software and firmware teams who optimize and implement algorithms for space-based systems. • Comfortable writing code in Python and/or C/C++ • Develop and improve instrument documentation, processes, and test procedures • Support concept of operation development and requirements analysis, decomposition, and generation at various levels of the system • Support requirements traceability and development of test plans to cover requirements • Support integration and test of electro-optical/infrared systems and related hardware/software • Provide support to engineering in developing technical specifications, interface control documents, test plans and procedures, and test conformance to specifications • Support engineering in the verification of compliance to requirements and validate performance behavior • Utilize work experience to become Subject Matter Expert in the relative area • Job is onsite in Fort Wayne, Indiana Qualifications: • Bachelor's degree and a minimum of 6 years of relevant experience; or a Graduate degree and a minimum of 4 years of relevant experience. In lieu of a degree, minimum of 10 years of prior related experience. • Eligibility to obtain a DoD Secret security clearance. Preferred Additional Skills: • Experience in spacecraft, satellite, or other complex aerospace system development with responsibility at the subsystem, system, or vehicle level. • Experience architecting, analyzing, developing, and integrating end to end systems in areas such as EO/IR, RF, or space payload and spacecraft bus subsystems • Experience with requirements management, interface control, system integration, verification and validation, and technical baseline management across the product lifecycle. • Familiarity with Model-Based Systems Engineering (MBSE), requirements management tools, and configuration management processes. • Experience developing embedded software / firmware • Inter-personal and communication skills, ability to interact with a cross functional team • Ability to collaborate across all levels of leadership • Able to work with general direction or supervision in a demanding environment • Experience with data analysis and/or modeling and simulation • Experience with estimating and managing costs • Familiarity with program management, cost account management, integrated product teams • Active security clearance • Proficient in use of Python • Ability to work effectively across cross-functional engineering teams, communicate technical issues clearly to leadership, and support execution in a multi-site development environment. 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.
10/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Systems Engineer Job Code: 44434 Job Location: Fort Wayne, Indiana Job Schedule: 9/80 (Every Other Friday Off!) Job Description: The L3Harris Spectral Solutions division is seeking a Systems Engineer to support the development of advanced space-based remote sensing systems for missile warning and missile defense missions. This role will contribute to the design, development, integration, and evaluation of next-generation sensor capabilities focused on detection and tracking, algorithm development, calibration, and performance verification. The Senior Specialist Systems Engineer will work across multidisciplinary teams to define system requirements, support sensor and payload performance analysis, and help mature technical solutions from concept through test and validation. The role will have a strong emphasis on developing and assessing detection and tracking approaches, supporting algorithm design and refinement, and ensuring sensor calibration and verification activities are executed to meet mission performance objectives. Key responsibilities include analyzing sensor system performance, developing and evaluating algorithms for target detection and tracking, supporting calibration planning and execution, defining verification methods and success criteria, and working closely with hardware, software, modeling and simulation, and test teams to ensure end-to-end system effectiveness. The role also includes supporting technical reviews, risk reduction efforts, and the translation of mission needs into actionable engineering requirements. Ideal candidates will have experience with infrared or electro-optical sensing systems, space or missile defense mission applications, systems engineering processes, and performance assessment methods. Strong analytical skills, technical collaboration, and the ability to work across the full development lifecycle are essential. This position in in Fort Wayne: Essential Functions: • Support development of image and video processing algorithm solutions for space based infrared systems. • Perform performance analyses of image and video processing algorithms in support of system level trade studies. Support systems engineering trade studies, CONOP development, and modeling/simulation efforts. • Work alongside embedded software and firmware teams who optimize and implement algorithms for space-based systems. • Comfortable writing code in Python and/or C/C++ • Develop and improve instrument documentation, processes, and test procedures • Support concept of operation development and requirements analysis, decomposition, and generation at various levels of the system • Support requirements traceability and development of test plans to cover requirements • Support integration and test of electro-optical/infrared systems and related hardware/software • Provide support to engineering in developing technical specifications, interface control documents, test plans and procedures, and test conformance to specifications • Support engineering in the verification of compliance to requirements and validate performance behavior • Utilize work experience to become Subject Matter Expert in the relative area • Job is onsite in Fort Wayne, Indiana Qualifications: • Bachelor's degree and a minimum of 6 years of relevant experience; or a Graduate degree and a minimum of 4 years of relevant experience. In lieu of a degree, minimum of 10 years of prior related experience. • Eligibility to obtain a DoD Secret security clearance. Preferred Additional Skills: • Experience in spacecraft, satellite, or other complex aerospace system development with responsibility at the subsystem, system, or vehicle level. • Experience architecting, analyzing, developing, and integrating end to end systems in areas such as EO/IR, RF, or space payload and spacecraft bus subsystems • Experience with requirements management, interface control, system integration, verification and validation, and technical baseline management across the product lifecycle. • Familiarity with Model-Based Systems Engineering (MBSE), requirements management tools, and configuration management processes. • Experience developing embedded software / firmware • Inter-personal and communication skills, ability to interact with a cross functional team • Ability to collaborate across all levels of leadership • Able to work with general direction or supervision in a demanding environment • Experience with data analysis and/or modeling and simulation • Experience with estimating and managing costs • Familiarity with program management, cost account management, integrated product teams • Active security clearance • Proficient in use of Python • Ability to work effectively across cross-functional engineering teams, communicate technical issues clearly to leadership, and support execution in a multi-site development environment. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead Software Engineer - Maritime Sonar Systems Job Code: 42916 Job Location: Camden, NJ Job Schedule: 9/80 (Every Other Friday Off) Qualified candidates will receive a minimum sign-on bonus of $10,000. Qualified candidates with additional credentials may be eligible for higher sign-on bonuses. Based in the historic L3Harris Camden Waterfront Campus! Job Description: In a fast moving and increasingly complex world, L3Harris is anticipating and rapidly responding to challenges with agile technology - creating a safer and more secure future. Join our trailblazing team in the Philadelphia metro area, where you'll dive into the thrilling world of high-assurance encryption products. We are seeking a proven software engineering leader to drive adoption and disciplined execution of agile software engineering practices across teams. This role will help shape the software engineering approach within our encryption business, advise engineering leadership on best practices, and partner with programs to improve efficiency, consistency, and execution of software development. Build an engineering pipeline to facilitate efficient, traceable, low defect, high quality software development in our encryption business and beyond. Define, implement, and continuously improve software engineering processes, practices, standards, tools, and governance across multiple encryption programs and teams. Advise engineering and business leadership on software engineering strategy, process maturity, organizational capability, and execution improvement opportunities. Provide guidance and oversight to software teams throughout the software development lifecycle. Evaluate current software engineering performance across programs, identify systemic gaps and risks, and lead actions to improve effectiveness, quality, and predictability. Review and influence software development plans, technical approaches, cost and schedule estimates, proposals, and program startup activities to ensure alignment with software engineering best practices. Use data-driven analysis to assess software engineering health, monitor organizational performance, and recommend and implement continuous improvement actions. Mentor technical leaders and engineering teams. Foster a culture of accountability, technical excellence, collaboration, and continuous improvement across the software engineering discipline. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field and a minimum of 15 years of prior relevant experience, or a graduate degree and a minimum of 13 years of prior related experience. In lieu of a degree, a minimum of 19 years of prior related experience. Broad and progressive software engineering experience, including significant leadership responsibility across multiple teams, programs, or organizational units. Proven ability to influence senior engineering, program, and business leaders and drive change across functional and program boundaries. Strong knowledge of the full software development lifecycle, including requirements capture, software architecture, design, coding, integration, test, release, and sustainment. Strong verbal, written, interpersonal, and presentation skills, with the ability to communicate effectively with both technical and executive audiences. Experience operating in a regulated, mission-critical, or highly disciplined engineering environment. Active and existing US DOD Secret security clearance required to start. Preferred Additional Skills: Advanced degree in Computer Science, Software Engineering, Engineering Management, or a related technical discipline. Experience in defense, aerospace, secure communications, encryption, embedded systems, or other highly regulated environments. Experience leading software engineering process improvement initiatives across an organization, business area, or portfolio. Familiarity with software engineering governance, lifecycle compliance, peer review rigor, development metrics, and engineering performance measurement. Experience with Agile, DevSecOps, digital engineering, model-based development, automated test, and secure software development practices. Experience supporting proposal, capture, program startup, and execution planning activities with strong software engineering cost, schedule, and staffing inputs. Subject Matter Expert in several of the following technology areas: Cryptographic algorithms Memory safe programming languages such as Rust Software engineering pipelines RESTful API service design Real time embedded software development & embedded interfaces (I2C, RS232, CAN, Ethernet) VoIP systems, SIP-based call control, or real-time media applications NSA or similar software Certification Networking basics, such as HTTPS and websockets In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $158,500-$275,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. 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.
10/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead Software Engineer - Maritime Sonar Systems Job Code: 42916 Job Location: Camden, NJ Job Schedule: 9/80 (Every Other Friday Off) Qualified candidates will receive a minimum sign-on bonus of $10,000. Qualified candidates with additional credentials may be eligible for higher sign-on bonuses. Based in the historic L3Harris Camden Waterfront Campus! Job Description: In a fast moving and increasingly complex world, L3Harris is anticipating and rapidly responding to challenges with agile technology - creating a safer and more secure future. Join our trailblazing team in the Philadelphia metro area, where you'll dive into the thrilling world of high-assurance encryption products. We are seeking a proven software engineering leader to drive adoption and disciplined execution of agile software engineering practices across teams. This role will help shape the software engineering approach within our encryption business, advise engineering leadership on best practices, and partner with programs to improve efficiency, consistency, and execution of software development. Build an engineering pipeline to facilitate efficient, traceable, low defect, high quality software development in our encryption business and beyond. Define, implement, and continuously improve software engineering processes, practices, standards, tools, and governance across multiple encryption programs and teams. Advise engineering and business leadership on software engineering strategy, process maturity, organizational capability, and execution improvement opportunities. Provide guidance and oversight to software teams throughout the software development lifecycle. Evaluate current software engineering performance across programs, identify systemic gaps and risks, and lead actions to improve effectiveness, quality, and predictability. Review and influence software development plans, technical approaches, cost and schedule estimates, proposals, and program startup activities to ensure alignment with software engineering best practices. Use data-driven analysis to assess software engineering health, monitor organizational performance, and recommend and implement continuous improvement actions. Mentor technical leaders and engineering teams. Foster a culture of accountability, technical excellence, collaboration, and continuous improvement across the software engineering discipline. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field and a minimum of 15 years of prior relevant experience, or a graduate degree and a minimum of 13 years of prior related experience. In lieu of a degree, a minimum of 19 years of prior related experience. Broad and progressive software engineering experience, including significant leadership responsibility across multiple teams, programs, or organizational units. Proven ability to influence senior engineering, program, and business leaders and drive change across functional and program boundaries. Strong knowledge of the full software development lifecycle, including requirements capture, software architecture, design, coding, integration, test, release, and sustainment. Strong verbal, written, interpersonal, and presentation skills, with the ability to communicate effectively with both technical and executive audiences. Experience operating in a regulated, mission-critical, or highly disciplined engineering environment. Active and existing US DOD Secret security clearance required to start. Preferred Additional Skills: Advanced degree in Computer Science, Software Engineering, Engineering Management, or a related technical discipline. Experience in defense, aerospace, secure communications, encryption, embedded systems, or other highly regulated environments. Experience leading software engineering process improvement initiatives across an organization, business area, or portfolio. Familiarity with software engineering governance, lifecycle compliance, peer review rigor, development metrics, and engineering performance measurement. Experience with Agile, DevSecOps, digital engineering, model-based development, automated test, and secure software development practices. Experience supporting proposal, capture, program startup, and execution planning activities with strong software engineering cost, schedule, and staffing inputs. Subject Matter Expert in several of the following technology areas: Cryptographic algorithms Memory safe programming languages such as Rust Software engineering pipelines RESTful API service design Real time embedded software development & embedded interfaces (I2C, RS232, CAN, Ethernet) VoIP systems, SIP-based call control, or real-time media applications NSA or similar software Certification Networking basics, such as HTTPS and websockets In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $158,500-$275,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. 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.
At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future. We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. We have an immediate need for a highly skilled Senior leveled DevSecOps Engineer to support federal programs hosted on AWS GovCloud. This hybrid role requires expertise in DevSecOps best practices, cloud automation, security compliance, and continuous integration/continuous deployment (CI/CD) to enhance the security, scalability, and efficiency of mission-critical applications. Core Responsibilities AWS GovCloud Architecture & Management: Design, implement, and maintain secure, scalable, and compliant AWS GovCloud environments for DoD and Civilian agency applications. DevSecOps Pipeline Development: Build and optimize CI/CD pipelines using tools like GitLab CI/CD, Jenkins, AWS Code Pipeline, and Terraform to automate deployments and security compliance. Security & Compliance: Ensure adherence to Federal cybersecurity frameworks (e.g., NIST 800-171, NIST 800-53, RMF, FedRAMP, Zero Trust). Implement STIGs, security baselines, and automated security scanning (SAST/DAST). Infrastructure as Code (IaC): Automate infrastructure provisioning and configuration management using Terraform, CloudFormation, and Ansible. Containerization & Orchestration: Deploy and manage Docker containers and Kubernetes clusters in AWS GovCloud, leveraging services like Amazon EKS, ECS, and Fargate. Monitoring & Incident Response: Implement AWS CloudWatch, AWS Security Hub, GuardDuty, Splunk, or ELK for proactive monitoring, logging, and compliance reporting. Automation & Scripting: Develop automation scripts using Python, Bash, or PowerShell to improve deployment efficiency and security enforcement. Collaboration & Knowledge Sharing: Work closely with software developers, cybersecurity teams, and cloud engineers to integrate security and automation into the software development lifecycle (SDLC). Requirements US citizenship with the ability to obtain a successful DoD Secret security clearance required Security+ Certification 7+ years of hands-on experience in DevSecOps, Cloud Engineering, or Infrastructure Automation roles. Strong expertise in AWS GovCloud services, security configurations, and compliance frameworks. Experience with CI/CD tools (GitLab CI/CD, Jenkins, AWS Code Pipeline, or similar). Hands-on experience with Infrastructure as Code (IaC) using Terraform, CloudFormation, and Ansible. Proficiency in containerization and orchestration (Docker, Kubernetes, EKS, ECS, Fargate). Strong understanding of AWS security services (AWS IAM, GuardDuty, Security Hub,AWS KMS, AWS WAF, AWS Config, AWS Secrets Manager). Knowledge of federal cybersecurity frameworks (RMF, NIST 800-171/53, STIGs, ZeroTrust). Experience implementing automated security testing (SAST, DAST, vulnerability scanning, SBOM management). Proficiency in scripting (Python, Bash, PowerShell) for automation and security enforcement. Please join us, as together we build a better world one mission at a time powered by Technology and its People! Salary Range: $170,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
10/28/2026
Full time
At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future. We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. We have an immediate need for a highly skilled Senior leveled DevSecOps Engineer to support federal programs hosted on AWS GovCloud. This hybrid role requires expertise in DevSecOps best practices, cloud automation, security compliance, and continuous integration/continuous deployment (CI/CD) to enhance the security, scalability, and efficiency of mission-critical applications. Core Responsibilities AWS GovCloud Architecture & Management: Design, implement, and maintain secure, scalable, and compliant AWS GovCloud environments for DoD and Civilian agency applications. DevSecOps Pipeline Development: Build and optimize CI/CD pipelines using tools like GitLab CI/CD, Jenkins, AWS Code Pipeline, and Terraform to automate deployments and security compliance. Security & Compliance: Ensure adherence to Federal cybersecurity frameworks (e.g., NIST 800-171, NIST 800-53, RMF, FedRAMP, Zero Trust). Implement STIGs, security baselines, and automated security scanning (SAST/DAST). Infrastructure as Code (IaC): Automate infrastructure provisioning and configuration management using Terraform, CloudFormation, and Ansible. Containerization & Orchestration: Deploy and manage Docker containers and Kubernetes clusters in AWS GovCloud, leveraging services like Amazon EKS, ECS, and Fargate. Monitoring & Incident Response: Implement AWS CloudWatch, AWS Security Hub, GuardDuty, Splunk, or ELK for proactive monitoring, logging, and compliance reporting. Automation & Scripting: Develop automation scripts using Python, Bash, or PowerShell to improve deployment efficiency and security enforcement. Collaboration & Knowledge Sharing: Work closely with software developers, cybersecurity teams, and cloud engineers to integrate security and automation into the software development lifecycle (SDLC). Requirements US citizenship with the ability to obtain a successful DoD Secret security clearance required Security+ Certification 7+ years of hands-on experience in DevSecOps, Cloud Engineering, or Infrastructure Automation roles. Strong expertise in AWS GovCloud services, security configurations, and compliance frameworks. Experience with CI/CD tools (GitLab CI/CD, Jenkins, AWS Code Pipeline, or similar). Hands-on experience with Infrastructure as Code (IaC) using Terraform, CloudFormation, and Ansible. Proficiency in containerization and orchestration (Docker, Kubernetes, EKS, ECS, Fargate). Strong understanding of AWS security services (AWS IAM, GuardDuty, Security Hub,AWS KMS, AWS WAF, AWS Config, AWS Secrets Manager). Knowledge of federal cybersecurity frameworks (RMF, NIST 800-171/53, STIGs, ZeroTrust). Experience implementing automated security testing (SAST, DAST, vulnerability scanning, SBOM management). Proficiency in scripting (Python, Bash, PowerShell) for automation and security enforcement. Please join us, as together we build a better world one mission at a time powered by Technology and its People! Salary Range: $170,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible for designing, developing, and deploying advanced AI-driven solutions, including generative AI, LLM-powered applications, and agentic AI systems. You will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers. Responsibilities include, but are not limited to the duties listed below Generative AI & LLM Solution Delivery Lead the design, development, prototyping, and refinement of AI-powered capabilities using generative AI, large language models, retrieval patterns, prompt/context engineering, and secure API integrations. Agentic AI System Development Own end-to-end agentic AI development lifecycles, including model selection, agent design, tool/function calling, orchestration, response synthesis, evaluation, and deployment of reliable AI agents. Senior Software Engineering Leadership Apply strong software engineering principles to design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and leverage AI-assisted development tools responsibly to accelerate delivery. Cross-Functional Technical Collaboration Partner with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and mission needs into operational AI and automation solutions. Cloud Enablement & DevSecOps Integration Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines; support reproducible development. Technical Mentorship & Continuous Improvement Stay current on emerging AI/ML trends, agentic frameworks, model capabilities, and engineering practices while mentoring team members and contributing to reusable standards, documentation, and technical design reviews. Requirements What You Bring Bachelor's or Master's in Computer Science, AI/ML, or a related field. 7+ years of hands-on software engineering experience, including significant experience delivering AI/ML, generative AI, or LLM-powered solutions in production or production-like environments. Experience building generative AI applications, working with LLMs, implementing tool/function calling, and applying model evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI. Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation with emerging AI technologies, with a strong focus on responsible innovation and measurable mission impact. Familiarity with CI/CD pipelines (GitLab CI) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. U.S. Citizenship with eligibility for DoD Secret clearance. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Technical Leadership - Work with technical leaders, shape agentic AI delivery practices, and mentor team members while continuing to deepen your own expertise in advanced AI engineering. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $155,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
10/28/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible for designing, developing, and deploying advanced AI-driven solutions, including generative AI, LLM-powered applications, and agentic AI systems. You will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers. Responsibilities include, but are not limited to the duties listed below Generative AI & LLM Solution Delivery Lead the design, development, prototyping, and refinement of AI-powered capabilities using generative AI, large language models, retrieval patterns, prompt/context engineering, and secure API integrations. Agentic AI System Development Own end-to-end agentic AI development lifecycles, including model selection, agent design, tool/function calling, orchestration, response synthesis, evaluation, and deployment of reliable AI agents. Senior Software Engineering Leadership Apply strong software engineering principles to design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and leverage AI-assisted development tools responsibly to accelerate delivery. Cross-Functional Technical Collaboration Partner with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and mission needs into operational AI and automation solutions. Cloud Enablement & DevSecOps Integration Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines; support reproducible development. Technical Mentorship & Continuous Improvement Stay current on emerging AI/ML trends, agentic frameworks, model capabilities, and engineering practices while mentoring team members and contributing to reusable standards, documentation, and technical design reviews. Requirements What You Bring Bachelor's or Master's in Computer Science, AI/ML, or a related field. 7+ years of hands-on software engineering experience, including significant experience delivering AI/ML, generative AI, or LLM-powered solutions in production or production-like environments. Experience building generative AI applications, working with LLMs, implementing tool/function calling, and applying model evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI. Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation with emerging AI technologies, with a strong focus on responsible innovation and measurable mission impact. Familiarity with CI/CD pipelines (GitLab CI) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. U.S. Citizenship with eligibility for DoD Secret clearance. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Technical Leadership - Work with technical leaders, shape agentic AI delivery practices, and mentor team members while continuing to deepen your own expertise in advanced AI engineering. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $155,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply advanced AI and data engineering expertise to design, build, and deploy data-driven solutions. You'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture (Bronze/Silver/Gold layers) to ensure data quality, lineage, and accessibility. Database Management & Performance Work with both SQL and NoSQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting. Collaborative Engineering Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems. Cloud Enablement Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines, support reproducible development. Professional Growth Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews. Requirements U.S. Citizenship with eligibility for DoD Secret clearance. Bachelor's or Master's in Computer Science, Data/AI/ML, or a related field. 7+ years of hands-on experience delivering Data/AI/ML solutions. Strong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
10/28/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply advanced AI and data engineering expertise to design, build, and deploy data-driven solutions. You'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture (Bronze/Silver/Gold layers) to ensure data quality, lineage, and accessibility. Database Management & Performance Work with both SQL and NoSQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting. Collaborative Engineering Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems. Cloud Enablement Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines, support reproducible development. Professional Growth Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews. Requirements U.S. Citizenship with eligibility for DoD Secret clearance. Bachelor's or Master's in Computer Science, Data/AI/ML, or a related field. 7+ years of hands-on experience delivering Data/AI/ML solutions. Strong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible for designing, developing, and deploying advanced AI-driven solutions, including generative AI, LLM-powered applications, and agentic AI systems. You will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers. Responsibilities include, but are not limited to the duties listed below Generative AI & LLM Solution Delivery Lead the design, development, prototyping, and refinement of AI-powered capabilities using generative AI, large language models, retrieval patterns, prompt/context engineering, and secure API integrations. Agentic AI System Development Own end-to-end agentic AI development lifecycles, including model selection, agent design, tool/function calling, orchestration, response synthesis, evaluation, and deployment of reliable AI agents. Senior Software Engineering Leadership Apply strong software engineering principles to design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and leverage AI-assisted development tools responsibly to accelerate delivery. Cross-Functional Technical Collaboration Partner with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and mission needs into operational AI and automation solutions. Cloud Enablement & DevSecOps Integration Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines; support reproducible development. Technical Mentorship & Continuous Improvement Stay current on emerging AI/ML trends, agentic frameworks, model capabilities, and engineering practices while mentoring team members and contributing to reusable standards, documentation, and technical design reviews. Requirements What You Bring Bachelor's or Master's in Computer Science, AI/ML, or a related field. 7+ years of hands-on software engineering experience, including significant experience delivering AI/ML, generative AI, or LLM-powered solutions in production or production-like environments. Experience building generative AI applications, working with LLMs, implementing tool/function calling, and applying model evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI. Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation with emerging AI technologies, with a strong focus on responsible innovation and measurable mission impact. Familiarity with CI/CD pipelines (GitLab CI) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. U.S. Citizenship with eligibility for DoD Secret clearance. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Technical Leadership - Work with technical leaders, shape agentic AI delivery practices, and mentor team members while continuing to deepen your own expertise in advanced AI engineering. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $155,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
10/28/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible for designing, developing, and deploying advanced AI-driven solutions, including generative AI, LLM-powered applications, and agentic AI systems. You will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers. Responsibilities include, but are not limited to the duties listed below Generative AI & LLM Solution Delivery Lead the design, development, prototyping, and refinement of AI-powered capabilities using generative AI, large language models, retrieval patterns, prompt/context engineering, and secure API integrations. Agentic AI System Development Own end-to-end agentic AI development lifecycles, including model selection, agent design, tool/function calling, orchestration, response synthesis, evaluation, and deployment of reliable AI agents. Senior Software Engineering Leadership Apply strong software engineering principles to design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and leverage AI-assisted development tools responsibly to accelerate delivery. Cross-Functional Technical Collaboration Partner with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and mission needs into operational AI and automation solutions. Cloud Enablement & DevSecOps Integration Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines; support reproducible development. Technical Mentorship & Continuous Improvement Stay current on emerging AI/ML trends, agentic frameworks, model capabilities, and engineering practices while mentoring team members and contributing to reusable standards, documentation, and technical design reviews. Requirements What You Bring Bachelor's or Master's in Computer Science, AI/ML, or a related field. 7+ years of hands-on software engineering experience, including significant experience delivering AI/ML, generative AI, or LLM-powered solutions in production or production-like environments. Experience building generative AI applications, working with LLMs, implementing tool/function calling, and applying model evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI. Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation with emerging AI technologies, with a strong focus on responsible innovation and measurable mission impact. Familiarity with CI/CD pipelines (GitLab CI) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. U.S. Citizenship with eligibility for DoD Secret clearance. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Technical Leadership - Work with technical leaders, shape agentic AI delivery practices, and mentor team members while continuing to deepen your own expertise in advanced AI engineering. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $155,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With more than 1,700+ team members, 1,500+ AI & data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by The Washington Post for six consecutive years and named to the Inc. 5000 list of Fastest-Growing Private Companies in 13 of the past 14 years. Credence is a welcoming environment for those looking to grow and make a meaningful impact. We encourage employees to push boundaries and help solve critical, world-changing federal challenges. Credence has an immediate need for an experienced Senior Google Cloud Platform Looker Developer to support the Defense Automatic Addressing System Digital Business Transformation Reports Modernization team. This hands-on software development role will design, build, integrate, test, deploy, troubleshoot, and sustain enterprise analytics applications using Google Cloud Platform, Looker Enterprise, LookML, and Looker Studio or Looker Studio Pro. The developer will translate functional and technical requirements into production-ready Looker applications, governed semantic models, dashboards, and cloud integrations. The role requires advanced LookML and SQL development, experience with cloud data platforms and APIs, disciplined source-control and deployment practices, and the ability to independently resolve application, data, security, and performance issues. The Senior Developer will also conduct technical reviews, establish reusable development patterns, and mentor other developers. Requirements U.S. citizenship and an active DoD Secret clearance at the time of hire, with the ability to maintain required Government access and suitability. Bachelor's degree in Computer Science, Software Engineering, Information Technology, Information Systems, Data Engineering, or a closely related technical discipline, or an approved equivalent combination of education and experience. At least seven years of experience in business intelligence application development, cloud application development, data engineering, or enterprise reporting development, including at least five years of hands-on development in modern business intelligence platforms. At least three years of hands-on Google Looker Enterprise and LookML development experience, including production semantic models, Explores, dashboards, reusable components, access controls, testing, deployment, and sustainment. Hands-on experience developing Looker Studio or Looker Studio Pro reports, reusable data sources, calculated fields, controls, connectors, and governed sharing configurations. Advanced SQL development and performance-tuning skills using BigQuery and at least one additional enterprise platform such as Amazon Redshift or Oracle. Working knowledge of Google Cloud Platform services used for secure analytics solutions, including BigQuery, Identity and Access Management, Cloud Storage, logging, monitoring, and application integration. Experience integrating reporting applications with data sources, APIs, identity services, and cloud components; experience with Looker APIs, embedded analytics, extensions, JavaScript, or Python is strongly desired. Experience with Git-based version control, code reviews, branching, release management, automated validation, and continuous integration and delivery practices. Strong testing and troubleshooting skills across LookML, SQL, data models, dashboards, permissions, integrations, deployment configurations, and application performance. Experience applying secure coding, role-based access, least-privilege controls, auditing, data-protection, and Section 508 accessibility requirements. Experience leading technical design and code reviews, establishing development standards, mentoring developers, and communicating technical risks and recommendations. Experience working in Scrum, SAFe, or another Agile software delivery environment. Current Security Plus CE or another contract-approved certification meeting DoD 8570 or 8140 IAT Level II requirements. Strong technical writing and communication skills, including the ability to document solution designs, code, configuration, testing, deployment, and operational procedures. Preferred Qualifications Google Cloud Professional Data Engineer, Professional Cloud Developer, Associate Cloud Engineer, or another relevant Google Cloud certification. Experience with data modeling, dimensional modeling, ETL or ELT pipelines, data quality controls, metadata, lineage, and enterprise data governance. Experience modernizing legacy reporting applications and validating data, calculations, security, and performance during platform migrations. Experience supporting DLA, DoD, or another federal agency in a controlled cloud environment; a current Common Access Card is preferred. Work Environment This position supports a collaborative federal delivery team and requires adherence to program security, access, and onsite or hybrid work requirements Salary Range: $150,000 - $190,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Free Food & Snacks Wellness Resources Stock Option Plan
10/28/2026
Full time
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With more than 1,700+ team members, 1,500+ AI & data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by The Washington Post for six consecutive years and named to the Inc. 5000 list of Fastest-Growing Private Companies in 13 of the past 14 years. Credence is a welcoming environment for those looking to grow and make a meaningful impact. We encourage employees to push boundaries and help solve critical, world-changing federal challenges. Credence has an immediate need for an experienced Senior Google Cloud Platform Looker Developer to support the Defense Automatic Addressing System Digital Business Transformation Reports Modernization team. This hands-on software development role will design, build, integrate, test, deploy, troubleshoot, and sustain enterprise analytics applications using Google Cloud Platform, Looker Enterprise, LookML, and Looker Studio or Looker Studio Pro. The developer will translate functional and technical requirements into production-ready Looker applications, governed semantic models, dashboards, and cloud integrations. The role requires advanced LookML and SQL development, experience with cloud data platforms and APIs, disciplined source-control and deployment practices, and the ability to independently resolve application, data, security, and performance issues. The Senior Developer will also conduct technical reviews, establish reusable development patterns, and mentor other developers. Requirements U.S. citizenship and an active DoD Secret clearance at the time of hire, with the ability to maintain required Government access and suitability. Bachelor's degree in Computer Science, Software Engineering, Information Technology, Information Systems, Data Engineering, or a closely related technical discipline, or an approved equivalent combination of education and experience. At least seven years of experience in business intelligence application development, cloud application development, data engineering, or enterprise reporting development, including at least five years of hands-on development in modern business intelligence platforms. At least three years of hands-on Google Looker Enterprise and LookML development experience, including production semantic models, Explores, dashboards, reusable components, access controls, testing, deployment, and sustainment. Hands-on experience developing Looker Studio or Looker Studio Pro reports, reusable data sources, calculated fields, controls, connectors, and governed sharing configurations. Advanced SQL development and performance-tuning skills using BigQuery and at least one additional enterprise platform such as Amazon Redshift or Oracle. Working knowledge of Google Cloud Platform services used for secure analytics solutions, including BigQuery, Identity and Access Management, Cloud Storage, logging, monitoring, and application integration. Experience integrating reporting applications with data sources, APIs, identity services, and cloud components; experience with Looker APIs, embedded analytics, extensions, JavaScript, or Python is strongly desired. Experience with Git-based version control, code reviews, branching, release management, automated validation, and continuous integration and delivery practices. Strong testing and troubleshooting skills across LookML, SQL, data models, dashboards, permissions, integrations, deployment configurations, and application performance. Experience applying secure coding, role-based access, least-privilege controls, auditing, data-protection, and Section 508 accessibility requirements. Experience leading technical design and code reviews, establishing development standards, mentoring developers, and communicating technical risks and recommendations. Experience working in Scrum, SAFe, or another Agile software delivery environment. Current Security Plus CE or another contract-approved certification meeting DoD 8570 or 8140 IAT Level II requirements. Strong technical writing and communication skills, including the ability to document solution designs, code, configuration, testing, deployment, and operational procedures. Preferred Qualifications Google Cloud Professional Data Engineer, Professional Cloud Developer, Associate Cloud Engineer, or another relevant Google Cloud certification. Experience with data modeling, dimensional modeling, ETL or ELT pipelines, data quality controls, metadata, lineage, and enterprise data governance. Experience modernizing legacy reporting applications and validating data, calculations, security, and performance during platform migrations. Experience supporting DLA, DoD, or another federal agency in a controlled cloud environment; a current Common Access Card is preferred. Work Environment This position supports a collaborative federal delivery team and requires adherence to program security, access, and onsite or hybrid work requirements Salary Range: $150,000 - $190,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Free Food & Snacks Wellness Resources Stock Option Plan
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence is seeking an experienced Senior Software Engineer to design, develop, integrate, and modernize enterprise software solutions. This role focuses on application development, software architecture, cloud-native technologies, AI-enabled automation, systems integration, and advanced analytical capabilities that improve mission readiness, logistics, sustainment, and supply chain operations. The successful candidate will build scalable software applications, APIs, enterprise services, automation tools, and AI-enabled capabilities that transform complex operational and logistics information into mission-focused software solutions. This position offers the opportunity to work across software engineering, cloud technologies, DevSecOps, automation, and enterprise analytics while supporting one of the Department of Defense's most critical aviation programs. The ideal candidate is a senior-level software engineer with strong programming experience, modern application development expertise, and a passion for building innovative solutions that drive operational effectiveness and mission success. Responsibilities include, but are not limited to the duties listed below Software Engineering & Architecture Design, develop, test, and deploy scalable, secure enterprise software, APIs, and microservices. Design secure, cloud-native software architectures, and contribute to architecture decisions across the stack. Support deployment through containers and CI/CD, and modernize legacy systems through automation and cloud-enabled technologies. Apply engineering best practices - source control, automated testing, code review, documentation. Ensure compliance with secure software development standards and Government cybersecurity requirements Support monitoring, troubleshooting, and operational sustainment of production systems. AI & Intelligent Automation Build and integrate AI-enabled capabilities - including generative AI, LLMs, RAG, and agentic workflows - into production systems, with secure integration into approved AI platforms. Apply AI-assisted development tools to improve engineering velocity and code quality. Evaluate emerging AI and automation technologies and drive their practical adoption. Impact & Collaboration Translate complex operational requirements into production-ready software, working directly with analysts and stakeholders. Build forecasting, modeling, and decision-support tools that turn data into operational insight. Provide technical leadership and mentorship, and help shape engineering standards across the team. Requirements U.S. Citizenship with the ability to obtain a Secret Security Clearance. Bachelor's degree in a related technical field Significant professional experience in software engineering, application development, systems engineering, automation, or related technical disciplines. Demonstrated expertise in one or more modern programming languages such as Python, Java, C#, or JavaScript/TypeScript, with recent hands-on experience developing production software. Experience designing, developing, testing, deploying, and maintaining enterprise software applications and services. Experience developing APIs, distributed systems, microservices, or service-oriented architectures. Experience with software architecture, object-oriented design, and software development lifecycle best practices. Experience working in Agile software development environments, including Scrum or Kanban. Experience developing and deploying applications in cloud environments such as AWS, Azure, or GCP, including containerized or cloud-native applications. Experience integrating enterprise systems and developing mission-focused software solutions. Strong problem-solving, communication, technical writing, and collaboration skills. Preferred Qualifications Experience with generative AI, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, or AI-enabled application development. Familiarity with agentic AI frameworks, orchestration platforms, and intelligent automation solutions. Experience developing mission applications that incorporate analytics, forecasting, optimization, or decision-support capabilities. Why This Role Matters Mission-Critical Impact - Build software solutions that directly improve mission readiness, logistics, sustainment, and operational effectiveness. Modern Engineering Environment - Work with cloud technologies, DevSecOps, AI-enabled capabilities, automation frameworks, and modern software architectures. Innovate with Purpose - Develop mission-focused applications that help transform data into actionable insights and operational outcomes. Collaborative Technical Culture - Partner with engineers, AI specialists, mission experts, and Government stakeholders to solve complex challenges. Professional Growth - Expand your expertise across software engineering, cloud, AI, automation, and defense mission support while contributing to one of the world's most advanced aviation programs. Salary Range: $170,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
10/28/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence is seeking an experienced Senior Software Engineer to design, develop, integrate, and modernize enterprise software solutions. This role focuses on application development, software architecture, cloud-native technologies, AI-enabled automation, systems integration, and advanced analytical capabilities that improve mission readiness, logistics, sustainment, and supply chain operations. The successful candidate will build scalable software applications, APIs, enterprise services, automation tools, and AI-enabled capabilities that transform complex operational and logistics information into mission-focused software solutions. This position offers the opportunity to work across software engineering, cloud technologies, DevSecOps, automation, and enterprise analytics while supporting one of the Department of Defense's most critical aviation programs. The ideal candidate is a senior-level software engineer with strong programming experience, modern application development expertise, and a passion for building innovative solutions that drive operational effectiveness and mission success. Responsibilities include, but are not limited to the duties listed below Software Engineering & Architecture Design, develop, test, and deploy scalable, secure enterprise software, APIs, and microservices. Design secure, cloud-native software architectures, and contribute to architecture decisions across the stack. Support deployment through containers and CI/CD, and modernize legacy systems through automation and cloud-enabled technologies. Apply engineering best practices - source control, automated testing, code review, documentation. Ensure compliance with secure software development standards and Government cybersecurity requirements Support monitoring, troubleshooting, and operational sustainment of production systems. AI & Intelligent Automation Build and integrate AI-enabled capabilities - including generative AI, LLMs, RAG, and agentic workflows - into production systems, with secure integration into approved AI platforms. Apply AI-assisted development tools to improve engineering velocity and code quality. Evaluate emerging AI and automation technologies and drive their practical adoption. Impact & Collaboration Translate complex operational requirements into production-ready software, working directly with analysts and stakeholders. Build forecasting, modeling, and decision-support tools that turn data into operational insight. Provide technical leadership and mentorship, and help shape engineering standards across the team. Requirements U.S. Citizenship with the ability to obtain a Secret Security Clearance. Bachelor's degree in a related technical field Significant professional experience in software engineering, application development, systems engineering, automation, or related technical disciplines. Demonstrated expertise in one or more modern programming languages such as Python, Java, C#, or JavaScript/TypeScript, with recent hands-on experience developing production software. Experience designing, developing, testing, deploying, and maintaining enterprise software applications and services. Experience developing APIs, distributed systems, microservices, or service-oriented architectures. Experience with software architecture, object-oriented design, and software development lifecycle best practices. Experience working in Agile software development environments, including Scrum or Kanban. Experience developing and deploying applications in cloud environments such as AWS, Azure, or GCP, including containerized or cloud-native applications. Experience integrating enterprise systems and developing mission-focused software solutions. Strong problem-solving, communication, technical writing, and collaboration skills. Preferred Qualifications Experience with generative AI, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, or AI-enabled application development. Familiarity with agentic AI frameworks, orchestration platforms, and intelligent automation solutions. Experience developing mission applications that incorporate analytics, forecasting, optimization, or decision-support capabilities. Why This Role Matters Mission-Critical Impact - Build software solutions that directly improve mission readiness, logistics, sustainment, and operational effectiveness. Modern Engineering Environment - Work with cloud technologies, DevSecOps, AI-enabled capabilities, automation frameworks, and modern software architectures. Innovate with Purpose - Develop mission-focused applications that help transform data into actionable insights and operational outcomes. Collaborative Technical Culture - Partner with engineers, AI specialists, mission experts, and Government stakeholders to solve complex challenges. Professional Growth - Expand your expertise across software engineering, cloud, AI, automation, and defense mission support while contributing to one of the world's most advanced aviation programs. Salary Range: $170,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply advanced AI and data engineering expertise to design, build, and deploy data-driven solutions. You'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture (Bronze/Silver/Gold layers) to ensure data quality, lineage, and accessibility. Database Management & Performance Work with both SQL and NoSQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting. Collaborative Engineering Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems. Cloud Enablement Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines, support reproducible development. Professional Growth Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews. Requirements U.S. Citizenship with eligibility for DoD Secret clearance. Bachelor's or Master's in Computer Science, Data/AI/ML, or a related field. 7+ years of hands-on experience delivering Data/AI/ML solutions. Strong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
10/28/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply advanced AI and data engineering expertise to design, build, and deploy data-driven solutions. You'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture (Bronze/Silver/Gold layers) to ensure data quality, lineage, and accessibility. Database Management & Performance Work with both SQL and NoSQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting. Collaborative Engineering Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems. Cloud Enablement Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines, support reproducible development. Professional Growth Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews. Requirements U.S. Citizenship with eligibility for DoD Secret clearance. Bachelor's or Master's in Computer Science, Data/AI/ML, or a related field. 7+ years of hands-on experience delivering Data/AI/ML solutions. Strong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply advanced AI and data engineering expertise to design, build, and deploy data-driven solutions. You'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture (Bronze/Silver/Gold layers) to ensure data quality, lineage, and accessibility. Database Management & Performance Work with both SQL and NoSQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting. Collaborative Engineering Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems. Cloud Enablement Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines, support reproducible development. Professional Growth Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews. Requirements U.S. Citizenship with eligibility for DoD Secret clearance. Bachelor's or Master's in Computer Science, Data/AI/ML, or a related field. 7+ years of hands-on experience delivering Data/AI/ML solutions. Strong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
10/28/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply advanced AI and data engineering expertise to design, build, and deploy data-driven solutions. You'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture (Bronze/Silver/Gold layers) to ensure data quality, lineage, and accessibility. Database Management & Performance Work with both SQL and NoSQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting. Collaborative Engineering Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems. Cloud Enablement Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines, support reproducible development. Professional Growth Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews. Requirements U.S. Citizenship with eligibility for DoD Secret clearance. Bachelor's or Master's in Computer Science, Data/AI/ML, or a related field. 7+ years of hands-on experience delivering Data/AI/ML solutions. Strong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible for designing, developing, and deploying advanced AI-driven solutions, including generative AI, LLM-powered applications, and agentic AI systems. You will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers. Responsibilities include, but are not limited to the duties listed below Generative AI & LLM Solution Delivery Lead the design, development, prototyping, and refinement of AI-powered capabilities using generative AI, large language models, retrieval patterns, prompt/context engineering, and secure API integrations. Agentic AI System Development Own end-to-end agentic AI development lifecycles, including model selection, agent design, tool/function calling, orchestration, response synthesis, evaluation, and deployment of reliable AI agents. Senior Software Engineering Leadership Apply strong software engineering principles to design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and leverage AI-assisted development tools responsibly to accelerate delivery. Cross-Functional Technical Collaboration Partner with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and mission needs into operational AI and automation solutions. Cloud Enablement & DevSecOps Integration Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines; support reproducible development. Technical Mentorship & Continuous Improvement Stay current on emerging AI/ML trends, agentic frameworks, model capabilities, and engineering practices while mentoring team members and contributing to reusable standards, documentation, and technical design reviews. Requirements What You Bring Bachelor's or Master's in Computer Science, AI/ML, or a related field. 7+ years of hands-on software engineering experience, including significant experience delivering AI/ML, generative AI, or LLM-powered solutions in production or production-like environments. Experience building generative AI applications, working with LLMs, implementing tool/function calling, and applying model evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI. Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation with emerging AI technologies, with a strong focus on responsible innovation and measurable mission impact. Familiarity with CI/CD pipelines (GitLab CI) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. U.S. Citizenship with eligibility for DoD Secret clearance. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Technical Leadership - Work with technical leaders, shape agentic AI delivery practices, and mentor team members while continuing to deepen your own expertise in advanced AI engineering. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $155,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
10/28/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible for designing, developing, and deploying advanced AI-driven solutions, including generative AI, LLM-powered applications, and agentic AI systems. You will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers. Responsibilities include, but are not limited to the duties listed below Generative AI & LLM Solution Delivery Lead the design, development, prototyping, and refinement of AI-powered capabilities using generative AI, large language models, retrieval patterns, prompt/context engineering, and secure API integrations. Agentic AI System Development Own end-to-end agentic AI development lifecycles, including model selection, agent design, tool/function calling, orchestration, response synthesis, evaluation, and deployment of reliable AI agents. Senior Software Engineering Leadership Apply strong software engineering principles to design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and leverage AI-assisted development tools responsibly to accelerate delivery. Cross-Functional Technical Collaboration Partner with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and mission needs into operational AI and automation solutions. Cloud Enablement & DevSecOps Integration Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines; support reproducible development. Technical Mentorship & Continuous Improvement Stay current on emerging AI/ML trends, agentic frameworks, model capabilities, and engineering practices while mentoring team members and contributing to reusable standards, documentation, and technical design reviews. Requirements What You Bring Bachelor's or Master's in Computer Science, AI/ML, or a related field. 7+ years of hands-on software engineering experience, including significant experience delivering AI/ML, generative AI, or LLM-powered solutions in production or production-like environments. Experience building generative AI applications, working with LLMs, implementing tool/function calling, and applying model evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI. Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation with emerging AI technologies, with a strong focus on responsible innovation and measurable mission impact. Familiarity with CI/CD pipelines (GitLab CI) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. U.S. Citizenship with eligibility for DoD Secret clearance. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Technical Leadership - Work with technical leaders, shape agentic AI delivery practices, and mentor team members while continuing to deepen your own expertise in advanced AI engineering. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $155,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior Application Programmer to support enterprise system modernization and API integration initiatives. This role serves as a technical lead responsible for designing, developing, implementing, and sustaining secure, scalable APIs and integration solutions using MuleSoft, SAP integration technologies, and modern DevSecOps practices. The ideal candidate has extensive experience developing enterprise-grade APIs, integrating complex business systems, modernizing legacy interfaces, and supporting mission-critical applications in large-scale enterprise or government environments. Responsibilities include, but are not limited to the duties listed below: Design, develop, test, deploy, and maintain enterprise APIs and integration solutions. Modernize legacy interfaces and data exchanges by implementing secure, reusable, and real-time API services. Develop API solutions using MuleSoft Anypoint Platform, Anypoint Studio, API Manager, and Runtime Manager. Create and maintain API specifications using REST, SOAP, RAML, OpenAPI, JSON, XML, and related technologies. Develop data transformations, mappings, validation rules, and reusable integration components using DataWeave. Integrate enterprise applications with SAP, databases, cloud services, SaaS platforms, and other internal and external systems. Implement API security controls including OAuth 2.0, JWT, PKI, client authentication, and role-based access control. Design scalable and highly available solutions that support load balancing, resiliency, and enterprise performance requirements. Collaborate with architects, engineers, business analysts, cybersecurity teams, and stakeholders throughout the software development lifecycle. Support CI/CD and DevSecOps practices using tools such as Jenkins, Git, GitLab, Maven, and ServiceNow. Participate in Agile ceremonies, technical reviews, sprint planning, and solution design discussions. Troubleshoot production issues, resolve defects, and support software releases and deployments. Mentor junior developers and provide technical leadership across development teams. Requirements US citizenship with the ability to obtain and maintain Secret Clearance. Bachelor's degree in Computer Science, Information Systems, Engineering, Information Technology, or a related field. 10+ years of experience in software development, application programming, enterprise integration, or API development. Experience designing, developing, testing, and deploying enterprise software solutions. Experience developing APIs and integrations using MuleSoft or a comparable middleware platform. Experience integrating enterprise systems, databases, web services, and cloud-based applications. Experience working in Agile software development environments. Strong understanding of application architecture, software design principles, and system integration patterns. Demonstrated ability to lead technical efforts and mentor development teams. Relevant technical certification or equivalent professional experience. Required Technical Skills MuleSoft Anypoint Platform and Anypoint Studio RESTful and SOAP Web Services RAML, OpenAPI, JSON, XML, WSDL, and CSV DataWeave and API integration frameworks SQL and relational database technologies API-led connectivity and enterprise integration patterns Git-based source control CI/CD and DevSecOps practices Agile software development methodologies Technical documentation and system design Preferred Qualifications MuleSoft Certified Developer or MuleSoft Integration Architect certification Experience integrating SAP or other ERP platforms Experience modernizing legacy enterprise applications and interfaces Experience supporting federal government or highly regulated environments Experience with AWS GovCloud or secure cloud environments Experience with Jenkins, GitLab, ServiceNow, Postman, SoapUI, SonarQube, or MUnit Understanding of RMF, ATO, STIG, PKI, and cybersecurity compliance requirements Experience building high-availability and disaster recovery solutions Salary Range: $130,000-$150,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
10/28/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior Application Programmer to support enterprise system modernization and API integration initiatives. This role serves as a technical lead responsible for designing, developing, implementing, and sustaining secure, scalable APIs and integration solutions using MuleSoft, SAP integration technologies, and modern DevSecOps practices. The ideal candidate has extensive experience developing enterprise-grade APIs, integrating complex business systems, modernizing legacy interfaces, and supporting mission-critical applications in large-scale enterprise or government environments. Responsibilities include, but are not limited to the duties listed below: Design, develop, test, deploy, and maintain enterprise APIs and integration solutions. Modernize legacy interfaces and data exchanges by implementing secure, reusable, and real-time API services. Develop API solutions using MuleSoft Anypoint Platform, Anypoint Studio, API Manager, and Runtime Manager. Create and maintain API specifications using REST, SOAP, RAML, OpenAPI, JSON, XML, and related technologies. Develop data transformations, mappings, validation rules, and reusable integration components using DataWeave. Integrate enterprise applications with SAP, databases, cloud services, SaaS platforms, and other internal and external systems. Implement API security controls including OAuth 2.0, JWT, PKI, client authentication, and role-based access control. Design scalable and highly available solutions that support load balancing, resiliency, and enterprise performance requirements. Collaborate with architects, engineers, business analysts, cybersecurity teams, and stakeholders throughout the software development lifecycle. Support CI/CD and DevSecOps practices using tools such as Jenkins, Git, GitLab, Maven, and ServiceNow. Participate in Agile ceremonies, technical reviews, sprint planning, and solution design discussions. Troubleshoot production issues, resolve defects, and support software releases and deployments. Mentor junior developers and provide technical leadership across development teams. Requirements US citizenship with the ability to obtain and maintain Secret Clearance. Bachelor's degree in Computer Science, Information Systems, Engineering, Information Technology, or a related field. 10+ years of experience in software development, application programming, enterprise integration, or API development. Experience designing, developing, testing, and deploying enterprise software solutions. Experience developing APIs and integrations using MuleSoft or a comparable middleware platform. Experience integrating enterprise systems, databases, web services, and cloud-based applications. Experience working in Agile software development environments. Strong understanding of application architecture, software design principles, and system integration patterns. Demonstrated ability to lead technical efforts and mentor development teams. Relevant technical certification or equivalent professional experience. Required Technical Skills MuleSoft Anypoint Platform and Anypoint Studio RESTful and SOAP Web Services RAML, OpenAPI, JSON, XML, WSDL, and CSV DataWeave and API integration frameworks SQL and relational database technologies API-led connectivity and enterprise integration patterns Git-based source control CI/CD and DevSecOps practices Agile software development methodologies Technical documentation and system design Preferred Qualifications MuleSoft Certified Developer or MuleSoft Integration Architect certification Experience integrating SAP or other ERP platforms Experience modernizing legacy enterprise applications and interfaces Experience supporting federal government or highly regulated environments Experience with AWS GovCloud or secure cloud environments Experience with Jenkins, GitLab, ServiceNow, Postman, SoapUI, SonarQube, or MUnit Understanding of RMF, ATO, STIG, PKI, and cybersecurity compliance requirements Experience building high-availability and disaster recovery solutions Salary Range: $130,000-$150,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence is seeking an experienced Senior Software Engineer to design, develop, integrate, and modernize enterprise software solutions. This role focuses on application development, software architecture, cloud-native technologies, AI-enabled automation, systems integration, and advanced analytical capabilities that improve mission readiness, logistics, sustainment, and supply chain operations. The successful candidate will build scalable software applications, APIs, enterprise services, automation tools, and AI-enabled capabilities that transform complex operational and logistics information into mission-focused software solutions. This position offers the opportunity to work across software engineering, cloud technologies, DevSecOps, automation, and enterprise analytics while supporting one of the Department of Defense's most critical aviation programs. The ideal candidate is a senior-level software engineer with strong programming experience, modern application development expertise, and a passion for building innovative solutions that drive operational effectiveness and mission success. Responsibilities include, but are not limited to the duties listed below Software Engineering & Architecture Design, develop, test, and deploy scalable, secure enterprise software, APIs, and microservices. Design secure, cloud-native software architectures, and contribute to architecture decisions across the stack. Support deployment through containers and CI/CD, and modernize legacy systems through automation and cloud-enabled technologies. Apply engineering best practices - source control, automated testing, code review, documentation. Ensure compliance with secure software development standards and Government cybersecurity requirements Support monitoring, troubleshooting, and operational sustainment of production systems. AI & Intelligent Automation Build and integrate AI-enabled capabilities - including generative AI, LLMs, RAG, and agentic workflows - into production systems, with secure integration into approved AI platforms. Apply AI-assisted development tools to improve engineering velocity and code quality. Evaluate emerging AI and automation technologies and drive their practical adoption. Impact & Collaboration Translate complex operational requirements into production-ready software, working directly with analysts and stakeholders. Build forecasting, modeling, and decision-support tools that turn data into operational insight. Provide technical leadership and mentorship, and help shape engineering standards across the team. Requirements U.S. Citizenship with the ability to obtain a Secret Security Clearance. Bachelor's degree in a related technical field Significant professional experience in software engineering, application development, systems engineering, automation, or related technical disciplines. Demonstrated expertise in one or more modern programming languages such as Python, Java, C#, or JavaScript/TypeScript, with recent hands-on experience developing production software. Experience designing, developing, testing, deploying, and maintaining enterprise software applications and services. Experience developing APIs, distributed systems, microservices, or service-oriented architectures. Experience with software architecture, object-oriented design, and software development lifecycle best practices. Experience working in Agile software development environments, including Scrum or Kanban. Experience developing and deploying applications in cloud environments such as AWS, Azure, or GCP, including containerized or cloud-native applications. Experience integrating enterprise systems and developing mission-focused software solutions. Strong problem-solving, communication, technical writing, and collaboration skills. Preferred Qualifications Experience with generative AI, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, or AI-enabled application development. Familiarity with agentic AI frameworks, orchestration platforms, and intelligent automation solutions. Experience developing mission applications that incorporate analytics, forecasting, optimization, or decision-support capabilities. Why This Role Matters Mission-Critical Impact - Build software solutions that directly improve mission readiness, logistics, sustainment, and operational effectiveness. Modern Engineering Environment - Work with cloud technologies, DevSecOps, AI-enabled capabilities, automation frameworks, and modern software architectures. Innovate with Purpose - Develop mission-focused applications that help transform data into actionable insights and operational outcomes. Collaborative Technical Culture - Partner with engineers, AI specialists, mission experts, and Government stakeholders to solve complex challenges. Professional Growth - Expand your expertise across software engineering, cloud, AI, automation, and defense mission support while contributing to one of the world's most advanced aviation programs. Salary Range: $170,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
10/28/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence is seeking an experienced Senior Software Engineer to design, develop, integrate, and modernize enterprise software solutions. This role focuses on application development, software architecture, cloud-native technologies, AI-enabled automation, systems integration, and advanced analytical capabilities that improve mission readiness, logistics, sustainment, and supply chain operations. The successful candidate will build scalable software applications, APIs, enterprise services, automation tools, and AI-enabled capabilities that transform complex operational and logistics information into mission-focused software solutions. This position offers the opportunity to work across software engineering, cloud technologies, DevSecOps, automation, and enterprise analytics while supporting one of the Department of Defense's most critical aviation programs. The ideal candidate is a senior-level software engineer with strong programming experience, modern application development expertise, and a passion for building innovative solutions that drive operational effectiveness and mission success. Responsibilities include, but are not limited to the duties listed below Software Engineering & Architecture Design, develop, test, and deploy scalable, secure enterprise software, APIs, and microservices. Design secure, cloud-native software architectures, and contribute to architecture decisions across the stack. Support deployment through containers and CI/CD, and modernize legacy systems through automation and cloud-enabled technologies. Apply engineering best practices - source control, automated testing, code review, documentation. Ensure compliance with secure software development standards and Government cybersecurity requirements Support monitoring, troubleshooting, and operational sustainment of production systems. AI & Intelligent Automation Build and integrate AI-enabled capabilities - including generative AI, LLMs, RAG, and agentic workflows - into production systems, with secure integration into approved AI platforms. Apply AI-assisted development tools to improve engineering velocity and code quality. Evaluate emerging AI and automation technologies and drive their practical adoption. Impact & Collaboration Translate complex operational requirements into production-ready software, working directly with analysts and stakeholders. Build forecasting, modeling, and decision-support tools that turn data into operational insight. Provide technical leadership and mentorship, and help shape engineering standards across the team. Requirements U.S. Citizenship with the ability to obtain a Secret Security Clearance. Bachelor's degree in a related technical field Significant professional experience in software engineering, application development, systems engineering, automation, or related technical disciplines. Demonstrated expertise in one or more modern programming languages such as Python, Java, C#, or JavaScript/TypeScript, with recent hands-on experience developing production software. Experience designing, developing, testing, deploying, and maintaining enterprise software applications and services. Experience developing APIs, distributed systems, microservices, or service-oriented architectures. Experience with software architecture, object-oriented design, and software development lifecycle best practices. Experience working in Agile software development environments, including Scrum or Kanban. Experience developing and deploying applications in cloud environments such as AWS, Azure, or GCP, including containerized or cloud-native applications. Experience integrating enterprise systems and developing mission-focused software solutions. Strong problem-solving, communication, technical writing, and collaboration skills. Preferred Qualifications Experience with generative AI, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, or AI-enabled application development. Familiarity with agentic AI frameworks, orchestration platforms, and intelligent automation solutions. Experience developing mission applications that incorporate analytics, forecasting, optimization, or decision-support capabilities. Why This Role Matters Mission-Critical Impact - Build software solutions that directly improve mission readiness, logistics, sustainment, and operational effectiveness. Modern Engineering Environment - Work with cloud technologies, DevSecOps, AI-enabled capabilities, automation frameworks, and modern software architectures. Innovate with Purpose - Develop mission-focused applications that help transform data into actionable insights and operational outcomes. Collaborative Technical Culture - Partner with engineers, AI specialists, mission experts, and Government stakeholders to solve complex challenges. Professional Growth - Expand your expertise across software engineering, cloud, AI, automation, and defense mission support while contributing to one of the world's most advanced aviation programs. Salary Range: $170,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible for designing, developing, and deploying advanced AI-driven solutions, including generative AI, LLM-powered applications, and agentic AI systems. You will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers. Responsibilities include, but are not limited to the duties listed below Generative AI & LLM Solution Delivery Lead the design, development, prototyping, and refinement of AI-powered capabilities using generative AI, large language models, retrieval patterns, prompt/context engineering, and secure API integrations. Agentic AI System Development Own end-to-end agentic AI development lifecycles, including model selection, agent design, tool/function calling, orchestration, response synthesis, evaluation, and deployment of reliable AI agents. Senior Software Engineering Leadership Apply strong software engineering principles to design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and leverage AI-assisted development tools responsibly to accelerate delivery. Cross-Functional Technical Collaboration Partner with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and mission needs into operational AI and automation solutions. Cloud Enablement & DevSecOps Integration Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines; support reproducible development. Technical Mentorship & Continuous Improvement Stay current on emerging AI/ML trends, agentic frameworks, model capabilities, and engineering practices while mentoring team members and contributing to reusable standards, documentation, and technical design reviews. Requirements What You Bring Bachelor's or Master's in Computer Science, AI/ML, or a related field. 7+ years of hands-on software engineering experience, including significant experience delivering AI/ML, generative AI, or LLM-powered solutions in production or production-like environments. Experience building generative AI applications, working with LLMs, implementing tool/function calling, and applying model evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI. Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation with emerging AI technologies, with a strong focus on responsible innovation and measurable mission impact. Familiarity with CI/CD pipelines (GitLab CI) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. U.S. Citizenship with eligibility for DoD Secret clearance. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Technical Leadership - Work with technical leaders, shape agentic AI delivery practices, and mentor team members while continuing to deepen your own expertise in advanced AI engineering. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $155,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
10/28/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible for designing, developing, and deploying advanced AI-driven solutions, including generative AI, LLM-powered applications, and agentic AI systems. You will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers. Responsibilities include, but are not limited to the duties listed below Generative AI & LLM Solution Delivery Lead the design, development, prototyping, and refinement of AI-powered capabilities using generative AI, large language models, retrieval patterns, prompt/context engineering, and secure API integrations. Agentic AI System Development Own end-to-end agentic AI development lifecycles, including model selection, agent design, tool/function calling, orchestration, response synthesis, evaluation, and deployment of reliable AI agents. Senior Software Engineering Leadership Apply strong software engineering principles to design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and leverage AI-assisted development tools responsibly to accelerate delivery. Cross-Functional Technical Collaboration Partner with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and mission needs into operational AI and automation solutions. Cloud Enablement & DevSecOps Integration Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines; support reproducible development. Technical Mentorship & Continuous Improvement Stay current on emerging AI/ML trends, agentic frameworks, model capabilities, and engineering practices while mentoring team members and contributing to reusable standards, documentation, and technical design reviews. Requirements What You Bring Bachelor's or Master's in Computer Science, AI/ML, or a related field. 7+ years of hands-on software engineering experience, including significant experience delivering AI/ML, generative AI, or LLM-powered solutions in production or production-like environments. Experience building generative AI applications, working with LLMs, implementing tool/function calling, and applying model evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI. Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation with emerging AI technologies, with a strong focus on responsible innovation and measurable mission impact. Familiarity with CI/CD pipelines (GitLab CI) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. U.S. Citizenship with eligibility for DoD Secret clearance. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Technical Leadership - Work with technical leaders, shape agentic AI delivery practices, and mentor team members while continuing to deepen your own expertise in advanced AI engineering. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $155,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Senior technology leader to provide enterprise-wide direction and operational leadership for the company's internal information technology function while also contributing technical expertise to selected customer opportunities and engagements. This role is accountable for the strategy, security, reliability, scalability, and business value of the technology environment supporting approximately 1,500 employees, including responsible adoption of artificial intelligence across the enterprise. The successful candidate will combine executive-level judgment with current technical credibility. The role will lead a team of approximately 16 IT professionals, translate business priorities into a practical technology roadmap, strengthen cybersecurity and operational discipline, and ensure that employees have secure, dependable, and effective technology services. Responsibilities include but are not limited to the duties listed below Enterprise Technology Strategy and Governance • Develop and execute an enterprise IT strategy and multi-year roadmap aligned with company growth, workforce needs, operational priorities, customer commitments, and risk tolerance. • Serve as the principal advisor to executive leadership on technology investment, architecture, cybersecurity risk, operational resilience, emerging capabilities, and technology enabled business improvement. • Establish clear governance, architecture standards, policies, decision rights, and lifecycle practices for infrastructure, cloud services, enterprise applications, data, end-user technology, and technology vendors. • Create a disciplined investment process that balances modernization, security, service quality, technical debt, scalability, and total cost of ownership. • Define meaningful service, risk, financial, and delivery metrics; communicate performance, priorities, tradeoffs, and emerging issues to senior leadership in business terms. Artificial Intelligence Strategy and Enterprise Adoption • Define and communicate a clear Credence vision for the role of artificial intelligence in the company's business, workforce, and operating model, giving leaders and employees a consistent message about priorities, opportunities, expectations, and responsible use. • Develop and execute an enterprise AI strategy and roadmap that embeds practical AI capabilities into core workflows, improves productivity and decision-making, and supports scalable growth. • Partner with business and functional leaders to identify high-value use cases, prioritize pilots and investments, redesign workflows, measure results, and scale successful solutions. • Establish AI governance and guardrails addressing security, privacy, data protection, legal and contractual compliance, acceptable use, human oversight, vendor selection, and risk. • Build organizational AI literacy and adoption through executive engagement, employee communication, training, change leadership, communities of practice, and accessible support. IT Operations, Infrastructure, and Service Delivery • Lead the internal IT organization and provide accountable oversight of service desk operations, endpoint services, identity and access, networks, collaboration platforms, cloud and hosting environments, enterprise applications, integrations, asset management, and related support services. • Ensure reliable and secure day-to-day operations through mature incident, problem, request, change, configuration, release, and knowledge-management practices. • Establish service expectations and operating measures that improve responsiveness, user experience, availability, capacity, and accountability across a geographically distributed workforce. • Guide modernization of legacy platforms and adoption of cloud, automation, infrastructure-as-code, monitoring, data, and AI-enabled capabilities when they provide clear business value and manageable risk. • Maintain effective business continuity, disaster recovery, backup, crisis response, and technology resilience capabilities; periodically test plans and close identified gaps. • Own IT financial planning, forecasting, procurement, software and license optimization, vendor performance, contract management, and the business cases for significant technology investments. Cybersecurity, Compliance, and Risk • Provide executive accountability for the protection of corporate systems, information, and technology assets in coordination with cybersecurity, compliance, legal, contracts, and business leadership. • Maintain a risk-based security program appropriate for a federal contractor, including identity governance, access control, vulnerability and patch management, security monitoring, incident response, third-party risk, data protection, and employee awareness. • Ensure internal technology practices support applicable federal cybersecurity frameworks, contractual requirements, audits, assessments, and customer security expectations. • Brief executives on material technology and cybersecurity risks, recommend mitigation priorities, and ensure corrective actions are owned, funded, tracked, and completed. Leadership and Organizational Development • Lead, coach, and develop a high-performing team of approximately 16 IT professionals; establish clear accountability, service ownership, succession plans, and development pathways. • Design the organization, staffing model, sourcing approach, and partner ecosystem needed to support current operations and future growth. • Build trusted relationships across business functions, listen closely to internal customers, and lead change with clear communication and practical adoption support. • Create a culture of service, security, documentation, continuous improvement, collaboration, and responsible innovation. Customer-Facing Technology Leadership • Serve as a senior technical advisor or delivery leader on selected customer engagements, particularly those involving enterprise IT modernization, cloud, cybersecurity, DevSecOps, data, AI, infrastructure, or managed services. • Support capture and proposal efforts by shaping technical approaches, reviewing solution architectures, contributing written content, participating in color-team reviews, and presenting in customer meetings or oral proposals. • Help translate customer missions and requirements into feasible, secure, and differentiated solutions that reflect delivery realities, compliance obligations, cost, schedule, and risk. • Provide technical oversight, independent reviews, issue resolution, or executive sponsorship for strategically important programs when requested. • Connect lessons, talent, tools, and reusable capabilities across corporate IT and customer delivery while maintaining appropriate boundaries between internal and customer environments. Requirements • Bachelor's degree in information technology, computer science, engineering, management information systems, or a related field are required; equivalent combinations of education and relevant experience may be considered. • Active federal security clearance, or eligibility and willingness to obtain one; a current Secret, Top Secret, or TS/SCI clearance is advantageous but not required. • Typically, 15 or more years of progressive technology experience, including at least 7 years leading technical teams, programs, or functions with increasing organizational scope and accountability are required. • Must have demonstrated ability to set enterprise technology strategy and to lead reliable day-to-day operations in a growing, geographically distributed organization. • Must have broad technical understanding across enterprise infrastructure, networks, cloud platforms, identity and access management, endpoint computing, enterprise applications, IT service management, cybersecurity, data protection, resilience, and systems integration. • Must have experience managing budgets, forecasts, vendors, contracts, licenses, staffing, and investment priorities, with the ability to connect technology decisions to business outcomes. • Must have experience communicating with executive leaders and presenting complex technical, financial, and risk matters clearly to nontechnical audiences. • Must have demonstrated success building and developing teams, establishing operating discipline, leading organizational change, and earning trust across functions. • Must have experience supporting customers in a consultative, solutioning, program leadership, or technical delivery capacity. Leadership Competencies • Enterprise perspective and business judgment • Strategic thinking paired with practical execution • Technical credibility and intellectual curiosity • Executive communication and influence • Customer and employee service orientation • Cybersecurity and risk ownership • Financial and vendor management discipline • Talent development, collaboration, and accountability • Calm, decisive leadership during incidents and periods of change Preferred Qualifications • Leadership experience within a federal government contractor, technology services firm, or similarly regulated and security-sensitive organization. • Experience supporting federal civilian, defense, intelligence . click apply for full job details
10/28/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Senior technology leader to provide enterprise-wide direction and operational leadership for the company's internal information technology function while also contributing technical expertise to selected customer opportunities and engagements. This role is accountable for the strategy, security, reliability, scalability, and business value of the technology environment supporting approximately 1,500 employees, including responsible adoption of artificial intelligence across the enterprise. The successful candidate will combine executive-level judgment with current technical credibility. The role will lead a team of approximately 16 IT professionals, translate business priorities into a practical technology roadmap, strengthen cybersecurity and operational discipline, and ensure that employees have secure, dependable, and effective technology services. Responsibilities include but are not limited to the duties listed below Enterprise Technology Strategy and Governance • Develop and execute an enterprise IT strategy and multi-year roadmap aligned with company growth, workforce needs, operational priorities, customer commitments, and risk tolerance. • Serve as the principal advisor to executive leadership on technology investment, architecture, cybersecurity risk, operational resilience, emerging capabilities, and technology enabled business improvement. • Establish clear governance, architecture standards, policies, decision rights, and lifecycle practices for infrastructure, cloud services, enterprise applications, data, end-user technology, and technology vendors. • Create a disciplined investment process that balances modernization, security, service quality, technical debt, scalability, and total cost of ownership. • Define meaningful service, risk, financial, and delivery metrics; communicate performance, priorities, tradeoffs, and emerging issues to senior leadership in business terms. Artificial Intelligence Strategy and Enterprise Adoption • Define and communicate a clear Credence vision for the role of artificial intelligence in the company's business, workforce, and operating model, giving leaders and employees a consistent message about priorities, opportunities, expectations, and responsible use. • Develop and execute an enterprise AI strategy and roadmap that embeds practical AI capabilities into core workflows, improves productivity and decision-making, and supports scalable growth. • Partner with business and functional leaders to identify high-value use cases, prioritize pilots and investments, redesign workflows, measure results, and scale successful solutions. • Establish AI governance and guardrails addressing security, privacy, data protection, legal and contractual compliance, acceptable use, human oversight, vendor selection, and risk. • Build organizational AI literacy and adoption through executive engagement, employee communication, training, change leadership, communities of practice, and accessible support. IT Operations, Infrastructure, and Service Delivery • Lead the internal IT organization and provide accountable oversight of service desk operations, endpoint services, identity and access, networks, collaboration platforms, cloud and hosting environments, enterprise applications, integrations, asset management, and related support services. • Ensure reliable and secure day-to-day operations through mature incident, problem, request, change, configuration, release, and knowledge-management practices. • Establish service expectations and operating measures that improve responsiveness, user experience, availability, capacity, and accountability across a geographically distributed workforce. • Guide modernization of legacy platforms and adoption of cloud, automation, infrastructure-as-code, monitoring, data, and AI-enabled capabilities when they provide clear business value and manageable risk. • Maintain effective business continuity, disaster recovery, backup, crisis response, and technology resilience capabilities; periodically test plans and close identified gaps. • Own IT financial planning, forecasting, procurement, software and license optimization, vendor performance, contract management, and the business cases for significant technology investments. Cybersecurity, Compliance, and Risk • Provide executive accountability for the protection of corporate systems, information, and technology assets in coordination with cybersecurity, compliance, legal, contracts, and business leadership. • Maintain a risk-based security program appropriate for a federal contractor, including identity governance, access control, vulnerability and patch management, security monitoring, incident response, third-party risk, data protection, and employee awareness. • Ensure internal technology practices support applicable federal cybersecurity frameworks, contractual requirements, audits, assessments, and customer security expectations. • Brief executives on material technology and cybersecurity risks, recommend mitigation priorities, and ensure corrective actions are owned, funded, tracked, and completed. Leadership and Organizational Development • Lead, coach, and develop a high-performing team of approximately 16 IT professionals; establish clear accountability, service ownership, succession plans, and development pathways. • Design the organization, staffing model, sourcing approach, and partner ecosystem needed to support current operations and future growth. • Build trusted relationships across business functions, listen closely to internal customers, and lead change with clear communication and practical adoption support. • Create a culture of service, security, documentation, continuous improvement, collaboration, and responsible innovation. Customer-Facing Technology Leadership • Serve as a senior technical advisor or delivery leader on selected customer engagements, particularly those involving enterprise IT modernization, cloud, cybersecurity, DevSecOps, data, AI, infrastructure, or managed services. • Support capture and proposal efforts by shaping technical approaches, reviewing solution architectures, contributing written content, participating in color-team reviews, and presenting in customer meetings or oral proposals. • Help translate customer missions and requirements into feasible, secure, and differentiated solutions that reflect delivery realities, compliance obligations, cost, schedule, and risk. • Provide technical oversight, independent reviews, issue resolution, or executive sponsorship for strategically important programs when requested. • Connect lessons, talent, tools, and reusable capabilities across corporate IT and customer delivery while maintaining appropriate boundaries between internal and customer environments. Requirements • Bachelor's degree in information technology, computer science, engineering, management information systems, or a related field are required; equivalent combinations of education and relevant experience may be considered. • Active federal security clearance, or eligibility and willingness to obtain one; a current Secret, Top Secret, or TS/SCI clearance is advantageous but not required. • Typically, 15 or more years of progressive technology experience, including at least 7 years leading technical teams, programs, or functions with increasing organizational scope and accountability are required. • Must have demonstrated ability to set enterprise technology strategy and to lead reliable day-to-day operations in a growing, geographically distributed organization. • Must have broad technical understanding across enterprise infrastructure, networks, cloud platforms, identity and access management, endpoint computing, enterprise applications, IT service management, cybersecurity, data protection, resilience, and systems integration. • Must have experience managing budgets, forecasts, vendors, contracts, licenses, staffing, and investment priorities, with the ability to connect technology decisions to business outcomes. • Must have experience communicating with executive leaders and presenting complex technical, financial, and risk matters clearly to nontechnical audiences. • Must have demonstrated success building and developing teams, establishing operating discipline, leading organizational change, and earning trust across functions. • Must have experience supporting customers in a consultative, solutioning, program leadership, or technical delivery capacity. Leadership Competencies • Enterprise perspective and business judgment • Strategic thinking paired with practical execution • Technical credibility and intellectual curiosity • Executive communication and influence • Customer and employee service orientation • Cybersecurity and risk ownership • Financial and vendor management discipline • Talent development, collaboration, and accountability • Calm, decisive leadership during incidents and periods of change Preferred Qualifications • Leadership experience within a federal government contractor, technology services firm, or similarly regulated and security-sensitive organization. • Experience supporting federal civilian, defense, intelligence . click apply for full job details
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible for designing, developing, and deploying advanced AI-driven solutions, including generative AI, LLM-powered applications, and agentic AI systems. You will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers. Responsibilities include, but are not limited to the duties listed below Generative AI & LLM Solution Delivery Lead the design, development, prototyping, and refinement of AI-powered capabilities using generative AI, large language models, retrieval patterns, prompt/context engineering, and secure API integrations. Agentic AI System Development Own end-to-end agentic AI development lifecycles, including model selection, agent design, tool/function calling, orchestration, response synthesis, evaluation, and deployment of reliable AI agents. Senior Software Engineering Leadership Apply strong software engineering principles to design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and leverage AI-assisted development tools responsibly to accelerate delivery. Cross-Functional Technical Collaboration Partner with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and mission needs into operational AI and automation solutions. Cloud Enablement & DevSecOps Integration Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines; support reproducible development. Technical Mentorship & Continuous Improvement Stay current on emerging AI/ML trends, agentic frameworks, model capabilities, and engineering practices while mentoring team members and contributing to reusable standards, documentation, and technical design reviews. Requirements What You Bring Bachelor's or Master's in Computer Science, AI/ML, or a related field. 7+ years of hands-on software engineering experience, including significant experience delivering AI/ML, generative AI, or LLM-powered solutions in production or production-like environments. Experience building generative AI applications, working with LLMs, implementing tool/function calling, and applying model evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI. Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation with emerging AI technologies, with a strong focus on responsible innovation and measurable mission impact. Familiarity with CI/CD pipelines (GitLab CI) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. U.S. Citizenship with eligibility for DoD Secret clearance. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Technical Leadership - Work with technical leaders, shape agentic AI delivery practices, and mentor team members while continuing to deepen your own expertise in advanced AI engineering. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $155,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
10/28/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible for designing, developing, and deploying advanced AI-driven solutions, including generative AI, LLM-powered applications, and agentic AI systems. You will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers. Responsibilities include, but are not limited to the duties listed below Generative AI & LLM Solution Delivery Lead the design, development, prototyping, and refinement of AI-powered capabilities using generative AI, large language models, retrieval patterns, prompt/context engineering, and secure API integrations. Agentic AI System Development Own end-to-end agentic AI development lifecycles, including model selection, agent design, tool/function calling, orchestration, response synthesis, evaluation, and deployment of reliable AI agents. Senior Software Engineering Leadership Apply strong software engineering principles to design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and leverage AI-assisted development tools responsibly to accelerate delivery. Cross-Functional Technical Collaboration Partner with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and mission needs into operational AI and automation solutions. Cloud Enablement & DevSecOps Integration Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines; support reproducible development. Technical Mentorship & Continuous Improvement Stay current on emerging AI/ML trends, agentic frameworks, model capabilities, and engineering practices while mentoring team members and contributing to reusable standards, documentation, and technical design reviews. Requirements What You Bring Bachelor's or Master's in Computer Science, AI/ML, or a related field. 7+ years of hands-on software engineering experience, including significant experience delivering AI/ML, generative AI, or LLM-powered solutions in production or production-like environments. Experience building generative AI applications, working with LLMs, implementing tool/function calling, and applying model evaluation, prompt/context engineering, or retrieval-augmented generation approaches. Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph. Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI. Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite. Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Demonstrated curiosity and practical experimentation with emerging AI technologies, with a strong focus on responsible innovation and measurable mission impact. Familiarity with CI/CD pipelines (GitLab CI) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. U.S. Citizenship with eligibility for DoD Secret clearance. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Technical Leadership - Work with technical leaders, shape agentic AI delivery practices, and mentor team members while continuing to deepen your own expertise in advanced AI engineering. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $155,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future. We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. We have an immediate need for a highly skilled Senior-level DevSecOps Engineer to support federal programs hosted on AWS GovCloud. This role requires expertise in DevSecOps best practices, cloud automation, security compliance, and continuous integration/continuous deployment (CI/CD) to enhance the security, scalability, and efficiency of mission-critical applications. Core Responsibilities Technical Leadership & Team Management: Lead, mentor, and manage a team of approximately five DevSecOps engineers, providing technical direction, prioritizing work, conducting code and architecture reviews, and fostering a collaborative, high-performing "one team" culture while remaining an active hands-on contributor. Hands-On Engineering: Serve as the technical lead for complex infrastructure, automation, and deployment efforts by designing solutions, troubleshooting production issues, developing infrastructure and pipeline code, and supporting implementation across the DevSecOps toolchain. Operational Support & On-Call: Provide operational leadership during production incidents, outages, and high-priority events. Participate in an on-call rotation as required, ensuring timely incident response, root cause analysis, and restoration of services while driving continuous improvements to system reliability and operational maturity. AWS GovCloud Architecture & Management: Design, implement, and maintain secure, scalable, and compliant AWS GovCloud environments for DoD and Civilian agency applications. DevSecOps Pipeline Development: Build and optimize CI/CD pipelines using tools like GitLab CI/CD, Jenkins, AWS Code Pipeline, and Terraform to automate deployments and security compliance. Security & Compliance: Ensure adherence to Federal cybersecurity frameworks (e.g., NIST 800-171, NIST 800-53, RMF, FedRAMP, Zero Trust). Implement STIGs, security baselines, and automated security scanning (SAST/DAST). Infrastructure as Code (IaC): Automate infrastructure provisioning and configuration management using Terraform, CloudFormation, and Ansible. Containerization & Orchestration: Deploy and manage Docker containers and Kubernetes clusters in AWS GovCloud, leveraging services like Amazon EKS, ECS, and Fargate. Monitoring & Incident Response: Implement AWS CloudWatch, AWS Security Hub, GuardDuty, Splunk, or ELK for proactive monitoring, logging, and compliance reporting. Automation & Scripting: Develop automation scripts using Python, Bash, or PowerShell to improve deployment efficiency and security enforcement. Collaboration & Knowledge Sharing: Work closely with software developers, cybersecurity teams, and cloud engineers to integrate security and automation into the software development lifecycle (SDLC). Requirements US citizenship with the ability to obtain a successful DoD Secret security clearance required Security+, AWS Certified Security 7+ years of hands-on experience in DevSecOps, Cloud Engineering, or Infrastructure Automation roles. Strong expertise in AWS GovCloud services, security configurations, and compliance frameworks. Experience with CI/CD tools (GitLab CI/CD, Jenkins, AWS Code Pipeline, or similar). Hands-on experience with Infrastructure as Code (IaC) using Terraform, CloudFormation, and Ansible. Proficiency in containerization and orchestration (Docker, Kubernetes, EKS, ECS, Fargate). Strong understanding of AWS security services (AWS IAM, GuardDuty, Security Hub,AWS KMS, AWS WAF, AWS Config, AWS Secrets Manager). Knowledge of federal cybersecurity frameworks (RMF, NIST 800-171/53, STIGs, ZeroTrust). Experience implementing automated security testing (SAST, DAST, vulnerability scanning, SBOM management). Proficiency in scripting (Python, Bash, PowerShell) for automation and security enforcement. Salary Range: $150,000 - $180,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Please join us, as together we build a better world one mission at a time powered by Technology and its People!
10/28/2026
Full time
At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future. We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. We have an immediate need for a highly skilled Senior-level DevSecOps Engineer to support federal programs hosted on AWS GovCloud. This role requires expertise in DevSecOps best practices, cloud automation, security compliance, and continuous integration/continuous deployment (CI/CD) to enhance the security, scalability, and efficiency of mission-critical applications. Core Responsibilities Technical Leadership & Team Management: Lead, mentor, and manage a team of approximately five DevSecOps engineers, providing technical direction, prioritizing work, conducting code and architecture reviews, and fostering a collaborative, high-performing "one team" culture while remaining an active hands-on contributor. Hands-On Engineering: Serve as the technical lead for complex infrastructure, automation, and deployment efforts by designing solutions, troubleshooting production issues, developing infrastructure and pipeline code, and supporting implementation across the DevSecOps toolchain. Operational Support & On-Call: Provide operational leadership during production incidents, outages, and high-priority events. Participate in an on-call rotation as required, ensuring timely incident response, root cause analysis, and restoration of services while driving continuous improvements to system reliability and operational maturity. AWS GovCloud Architecture & Management: Design, implement, and maintain secure, scalable, and compliant AWS GovCloud environments for DoD and Civilian agency applications. DevSecOps Pipeline Development: Build and optimize CI/CD pipelines using tools like GitLab CI/CD, Jenkins, AWS Code Pipeline, and Terraform to automate deployments and security compliance. Security & Compliance: Ensure adherence to Federal cybersecurity frameworks (e.g., NIST 800-171, NIST 800-53, RMF, FedRAMP, Zero Trust). Implement STIGs, security baselines, and automated security scanning (SAST/DAST). Infrastructure as Code (IaC): Automate infrastructure provisioning and configuration management using Terraform, CloudFormation, and Ansible. Containerization & Orchestration: Deploy and manage Docker containers and Kubernetes clusters in AWS GovCloud, leveraging services like Amazon EKS, ECS, and Fargate. Monitoring & Incident Response: Implement AWS CloudWatch, AWS Security Hub, GuardDuty, Splunk, or ELK for proactive monitoring, logging, and compliance reporting. Automation & Scripting: Develop automation scripts using Python, Bash, or PowerShell to improve deployment efficiency and security enforcement. Collaboration & Knowledge Sharing: Work closely with software developers, cybersecurity teams, and cloud engineers to integrate security and automation into the software development lifecycle (SDLC). Requirements US citizenship with the ability to obtain a successful DoD Secret security clearance required Security+, AWS Certified Security 7+ years of hands-on experience in DevSecOps, Cloud Engineering, or Infrastructure Automation roles. Strong expertise in AWS GovCloud services, security configurations, and compliance frameworks. Experience with CI/CD tools (GitLab CI/CD, Jenkins, AWS Code Pipeline, or similar). Hands-on experience with Infrastructure as Code (IaC) using Terraform, CloudFormation, and Ansible. Proficiency in containerization and orchestration (Docker, Kubernetes, EKS, ECS, Fargate). Strong understanding of AWS security services (AWS IAM, GuardDuty, Security Hub,AWS KMS, AWS WAF, AWS Config, AWS Secrets Manager). Knowledge of federal cybersecurity frameworks (RMF, NIST 800-171/53, STIGs, ZeroTrust). Experience implementing automated security testing (SAST, DAST, vulnerability scanning, SBOM management). Proficiency in scripting (Python, Bash, PowerShell) for automation and security enforcement. Salary Range: $150,000 - $180,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Please join us, as together we build a better world one mission at a time powered by Technology and its People!
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for a Software Engineer (Associate, Experienced, & Senior) to join the F-15 Mission System Software Development Team located in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. We are seeking a highly motivated Software Engineer to design and implement new capabilities in the F-15 Operational Flight Program (OFP) for both the United States Air Force (USAF) and international customers. The candidate will join one of the multi-discipline Agile scrum teams that develop, integrate, and maintain a wide range of aircraft functionalities. Software capabilities will be developed for the Advanced Display Core Processor II (ADCP II), the brains of the Eagle. The successful candidate will implement and test new cutting-edge capabilities and integrate them with a variety of other aircraft subsystems. At Boeing, our software engineers use their expertise to dream up next generation software capabilities for some amazing aerospace platforms. Boeing encourages its engineers to move up as technical leads as well as gives them opportunities to grow into management. Join us and you will have the unique opportunity to develop real-time embedded software for the most sophisticated military platforms in the world. Across Commercial, Defense and Global Services, our teams are developing software for next generation trainers; tactical fighter aircraft; helicopters; unmanned air vehicles; space, satellite, and weapons systems; state of the art flight simulators; cybersecurity solutions, and much more. We work in a casual but professional environment with multi-disciplined teams of engineers that take pride in developing, integrating, testing and delivering innovative solutions. There is long-term potential for career growth into technical leadership or management positions and we value the curiosity, tenacity and imagination our engineers bring to our teams each day. Our team is currently hiring for a broad range of experience levels including: Associate, Experienced, and Software Engineers. Position Responsibilities: Develops, documents and maintains architectures, requirements, algorithms, interfaces and designs for software systems Develops and maintains code and integrates software components into a fully functional software system Develops software verification plans, test procedures and test environments, executing the test procedures and documenting test results to ensure software system requirements are met Executes and documents software research and development projects Serves as a subject matter expert for software domains, system-specific issues, processes and regulations Troubleshoots software issues Works under general direction Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Ability to obtain a U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security clearance (Pre-Start) 2+ years of experience with C, C++, C#, Python, Java, or Ada 2+ years of experience with object-oriented programming language 2+ years of experience developing, documenting, and maintaining architectures, algorithms, interfaces, and designs for software systems Preferred Qualifications (Desired Skills/Experience): Level 2 / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 2+ years of related work experience OR Bachelor's Degree and 6+ years of directly related work experience OR 10+ years of related, relevant experience Level 3 / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 9+ years of directly related work experience OR 13+ years of related, relevant experience Level 4 / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 9+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience Agile/SAFe development experience Experience with DevOps tools, such as GitLab (CI/CD), Git Bash, Gradle, Jira, Jenkins, and Artifactory Desirable programming languages include: Ada, C, C++, Python Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience working with Real-time Operating Systems (RTOS) Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Associate: $99,450.00 - $134,550.00. Summary pay range for Experienced: $126,650.00 - $171,350.00. Summary pay range for Senior: $160,650.00 - $217,350.00. Applications for this position will be accepted until Nov. 02, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. A final U.S. Secret Clearance Pre-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
10/28/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for a Software Engineer (Associate, Experienced, & Senior) to join the F-15 Mission System Software Development Team located in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. We are seeking a highly motivated Software Engineer to design and implement new capabilities in the F-15 Operational Flight Program (OFP) for both the United States Air Force (USAF) and international customers. The candidate will join one of the multi-discipline Agile scrum teams that develop, integrate, and maintain a wide range of aircraft functionalities. Software capabilities will be developed for the Advanced Display Core Processor II (ADCP II), the brains of the Eagle. The successful candidate will implement and test new cutting-edge capabilities and integrate them with a variety of other aircraft subsystems. At Boeing, our software engineers use their expertise to dream up next generation software capabilities for some amazing aerospace platforms. Boeing encourages its engineers to move up as technical leads as well as gives them opportunities to grow into management. Join us and you will have the unique opportunity to develop real-time embedded software for the most sophisticated military platforms in the world. Across Commercial, Defense and Global Services, our teams are developing software for next generation trainers; tactical fighter aircraft; helicopters; unmanned air vehicles; space, satellite, and weapons systems; state of the art flight simulators; cybersecurity solutions, and much more. We work in a casual but professional environment with multi-disciplined teams of engineers that take pride in developing, integrating, testing and delivering innovative solutions. There is long-term potential for career growth into technical leadership or management positions and we value the curiosity, tenacity and imagination our engineers bring to our teams each day. Our team is currently hiring for a broad range of experience levels including: Associate, Experienced, and Software Engineers. Position Responsibilities: Develops, documents and maintains architectures, requirements, algorithms, interfaces and designs for software systems Develops and maintains code and integrates software components into a fully functional software system Develops software verification plans, test procedures and test environments, executing the test procedures and documenting test results to ensure software system requirements are met Executes and documents software research and development projects Serves as a subject matter expert for software domains, system-specific issues, processes and regulations Troubleshoots software issues Works under general direction Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Ability to obtain a U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. Ability to obtain Secret U.S. Security clearance (Pre-Start) 2+ years of experience with C, C++, C#, Python, Java, or Ada 2+ years of experience with object-oriented programming language 2+ years of experience developing, documenting, and maintaining architectures, algorithms, interfaces, and designs for software systems Preferred Qualifications (Desired Skills/Experience): Level 2 / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 2+ years of related work experience OR Bachelor's Degree and 6+ years of directly related work experience OR 10+ years of related, relevant experience Level 3 / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 9+ years of directly related work experience OR 13+ years of related, relevant experience Level 4 / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 9+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience Agile/SAFe development experience Experience with DevOps tools, such as GitLab (CI/CD), Git Bash, Gradle, Jira, Jenkins, and Artifactory Desirable programming languages include: Ada, C, C++, Python Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience working with Real-time Operating Systems (RTOS) Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Associate: $99,450.00 - $134,550.00. Summary pay range for Experienced: $126,650.00 - $171,350.00. Summary pay range for Senior: $160,650.00 - $217,350.00. Applications for this position will be accepted until Nov. 02, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. A final U.S. Secret Clearance Pre-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Sr. Specialist, Integration/Test Engineering Job Code: 46571 Job Location: Rockwall, TX Job Schedule: 9/80 - Employees work 9 out of every 14 days - totaling 80 hours worked (Every Other Friday Off) Job Description: As the premier provider of Space Domain Awareness (SDA) mission solutions for the United States Space Force, L3Harris is seeking a mid-level Integration and Test Engineer to perform Software Systems Integration and System Test functions related to the MOSSAIC C2 Space Domain Awareness (SDA) mission. The ideal candidate will have some experience in Systems Engineering Integration & Test (SEIT) activities such as Requirements Development/Derivation, Test Documentation (Plans, Procedures, Reports), Test Execution, System Troubleshooting, and Defect Tracking and Resolution. Essential Functions: Execute and assist in developing detailed test plans, procedures and cases based on system requirements. Identify, record, document thoroughly, and track defects through to resolution. Perform manual and automated testing to ensure software performance/functionality meets the high standards required for L3Harris operations. Collaborate with Systems Engineers, Software Engineers and senior Integration & Test Engineers to identify system requirements for Validation & Verification. Participate in design reviews and provide input on requirements, product design, test methodology and potential problems. Analyze test results, detect issues, and track root causes in collaboration with the development and test teams. Assist in the creation and maintenance of technical documentation, including System Models based in SysML. Support cloud environment operations through the use of Docker containers, Kubernetes orchestration, and Helm chart-based deployments. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Ability to obtain TS/SCI access within 6 months of hire. Preferred Additional Skills: Active U.S. DoW TS/SCI security clearance. Active Security+ CE certification Basic knowledge of the Space Domain Awareness enterprise and engineering efforts. Familiarity with MBSE/Eggplant and similar testing tools as well as DoW testing requirements. Familiarity with Jira/Confluence (or equivalent) Experience in Scaled Agile Framework & DevSecOps methodology Java and C++ application software testing Proficiency in Linux Proficiency in Test Automation software Proficiency in Python programming 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.
10/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Sr. Specialist, Integration/Test Engineering Job Code: 46571 Job Location: Rockwall, TX Job Schedule: 9/80 - Employees work 9 out of every 14 days - totaling 80 hours worked (Every Other Friday Off) Job Description: As the premier provider of Space Domain Awareness (SDA) mission solutions for the United States Space Force, L3Harris is seeking a mid-level Integration and Test Engineer to perform Software Systems Integration and System Test functions related to the MOSSAIC C2 Space Domain Awareness (SDA) mission. The ideal candidate will have some experience in Systems Engineering Integration & Test (SEIT) activities such as Requirements Development/Derivation, Test Documentation (Plans, Procedures, Reports), Test Execution, System Troubleshooting, and Defect Tracking and Resolution. Essential Functions: Execute and assist in developing detailed test plans, procedures and cases based on system requirements. Identify, record, document thoroughly, and track defects through to resolution. Perform manual and automated testing to ensure software performance/functionality meets the high standards required for L3Harris operations. Collaborate with Systems Engineers, Software Engineers and senior Integration & Test Engineers to identify system requirements for Validation & Verification. Participate in design reviews and provide input on requirements, product design, test methodology and potential problems. Analyze test results, detect issues, and track root causes in collaboration with the development and test teams. Assist in the creation and maintenance of technical documentation, including System Models based in SysML. Support cloud environment operations through the use of Docker containers, Kubernetes orchestration, and Helm chart-based deployments. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Ability to obtain TS/SCI access within 6 months of hire. Preferred Additional Skills: Active U.S. DoW TS/SCI security clearance. Active Security+ CE certification Basic knowledge of the Space Domain Awareness enterprise and engineering efforts. Familiarity with MBSE/Eggplant and similar testing tools as well as DoW testing requirements. Familiarity with Jira/Confluence (or equivalent) Experience in Scaled Agile Framework & DevSecOps methodology Java and C++ application software testing Proficiency in Linux Proficiency in Test Automation software Proficiency in Python programming 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.
