{"schemaVersion":"jobsearcher.job.v1","id":"e8fe2b4cb6476cc211e9e5b5","url":"https://jobsearcher.com/jobs/e8fe2b4cb6476cc211e9e5b5","canonicalUrl":"https://jobsearcher.com/jobs/e8fe2b4cb6476cc211e9e5b5","title":"Staff DevSecOps Engineer","description":"Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.\nJob Description: Cloud Engineering builds and operates the infrastructure and environments that support Shield AI’s software products and platforms.\nAs a DevSecOps Engineer, you will design, build, and automate security controls across cloud infrastructure, software delivery systems, and containerized workloads. You will partner with Cybersecurity, Infosec, Build Engineering, and product teams to turn security and compliance requirements into practical engineering controls.\nThis is a hands-on engineering role focused on making secure configurations repeatable and maintainable. You will work across infrastructure, containers, CI/CD systems, and platform services to reduce security risk without creating unnecessary friction for engineering teams.\nWhat You'll Do: Design and implement security controls across AWS infrastructure and platform services\nBuild and maintain hardened container images and secure base images for engineering and production workloads\nIntegrate vulnerability, dependency, container, and configuration scanning into software delivery systems\nAutomate security and compliance checks to reduce manual review and improve consistency\nImplement secrets management, identity, and access controls across infrastructure and engineering systems\nBuild mechanisms for audit evidence, configuration validation, and compliance reporting\nIdentify security weaknesses in infrastructure, containers, and delivery systems and drive remediation with owning teams\nPartner with Cybersecurity and Infosec to translate security requirements into scalable engineering controls\nWork with Build Engineering and Cloud Engineering to integrate security controls without compromising reliability or developer workflows\nAt the Staff level, Define reusable patterns and drive adoption of security engineering practices across multiple teams\nRequired Qualifications: 5+ years of related experience for Senior Engineer or 7+ years for Staff Engineer, or equivalent education and experience.\nExperience implementing security controls in AWS or another major cloud environment\nExperience with infrastructure-as-code and automated infrastructure provisioning\nExperience securing containerized workloads and building or maintaining hardened container images\nExperience integrating security tooling into CI/CD or software delivery systems\nExperience with vulnerability management, dependency scanning, container scanning, or configuration validation\nExperience implementing identity, secrets, and access controls in cloud or engineering environments\nExperience automating security or infrastructure tasks using Python, Go, Bash, or a similar language\nAbility to diagnose security and configuration issues across infrastructure, containers, and platform services\nExperience working with security and engineering teams to implement shared technical controls\nPreferred Qualifications: Experience operating systems in regulated or compliance-driven environments\nExperience with Kubernetes security, workload identity, or container runtime controls\nExperience building reusable hardened images or secure infrastructure baselines used across multiple teams\nExperience with cloud security posture management, policy-as-code, or automated compliance tooling\nExperience supporting audit evidence collection or continuous compliance workflows\nFamiliarity with software supply-chain security, artifact integrity, or signing/attestation workflows\nFull-time regular employee offer package:\nPay within range listed + Bonus + Benefits + Equity\nTemporary employee offer package:\nPay within range listed above + temporary benefits package (applicable after 60 days of employment)\nSalary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits.\nShield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed toequal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.\n\n#J-18808-Ljbffr","company":"Precision Labs","rawCompany":"precision labs","city":"San Mateo","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-18T03:50:57.999Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.05","title":"Information Security Engineers","slug":"information-security-engineers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff DevSecOps Engineer","description":"Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.\nJob Description: Cloud Engineering builds and operates the infrastructure and environments that support Shield AI’s software products and platforms.\nAs a DevSecOps Engineer, you will design, build, and automate security controls across cloud infrastructure, software delivery systems, and containerized workloads. You will partner with Cybersecurity, Infosec, Build Engineering, and product teams to turn security and compliance requirements into practical engineering controls.\nThis is a hands-on engineering role focused on making secure configurations repeatable and maintainable. You will work across infrastructure, containers, CI/CD systems, and platform services to reduce security risk without creating unnecessary friction for engineering teams.\nWhat You'll Do: Design and implement security controls across AWS infrastructure and platform services\nBuild and maintain hardened container images and secure base images for engineering and production workloads\nIntegrate vulnerability, dependency, container, and configuration scanning into software delivery systems\nAutomate security and compliance checks to reduce manual review and improve consistency\nImplement secrets management, identity, and access controls across infrastructure and engineering systems\nBuild mechanisms for audit evidence, configuration validation, and compliance reporting\nIdentify security weaknesses in infrastructure, containers, and delivery systems and drive remediation with owning teams\nPartner with Cybersecurity and Infosec to translate security requirements into scalable engineering controls\nWork with Build Engineering and Cloud Engineering to integrate security controls without compromising reliability or developer workflows\nAt the Staff level, Define reusable patterns and drive adoption of security engineering practices across multiple teams\nRequired Qualifications: 5+ years of related experience for Senior Engineer or 7+ years for Staff Engineer, or equivalent education and experience.\nExperience implementing security controls in AWS or another major cloud environment\nExperience with infrastructure-as-code and automated infrastructure provisioning\nExperience securing containerized workloads and building or maintaining hardened container images\nExperience integrating security tooling into CI/CD or software delivery systems\nExperience with vulnerability management, dependency scanning, container scanning, or configuration validation\nExperience implementing identity, secrets, and access controls in cloud or engineering environments\nExperience automating security or infrastructure tasks using Python, Go, Bash, or a similar language\nAbility to diagnose security and configuration issues across infrastructure, containers, and platform services\nExperience working with security and engineering teams to implement shared technical controls\nPreferred Qualifications: Experience operating systems in regulated or compliance-driven environments\nExperience with Kubernetes security, workload identity, or container runtime controls\nExperience building reusable hardened images or secure infrastructure baselines used across multiple teams\nExperience with cloud security posture management, policy-as-code, or automated compliance tooling\nExperience supporting audit evidence collection or continuous compliance workflows\nFamiliarity with software supply-chain security, artifact integrity, or signing/attestation workflows\nFull-time regular employee offer package:\nPay within range listed + Bonus + Benefits + Equity\nTemporary employee offer package:\nPay within range listed above + temporary benefits package (applicable after 60 days of employment)\nSalary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits.\nShield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed toequal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.\n\n#J-18808-Ljbffr","datePosted":"2026-10-18T03:50:57.999Z","dateModified":"2026-10-18T03:50:57.999Z","hiringOrganization":{"@type":"Organization","name":"Precision Labs","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e8fe2b4cb6476cc211e9e5b5"},"url":"https://jobsearcher.com/jobs/e8fe2b4cb6476cc211e9e5b5"}}