{"schemaVersion":"jobsearcher.job.v1","id":"dcf130d1930909e23f99a0ae","url":"https://jobsearcher.com/jobs/dcf130d1930909e23f99a0ae","canonicalUrl":"https://jobsearcher.com/jobs/dcf130d1930909e23f99a0ae","title":"Senior DevSecOps / Platform Engineer - Agentic AI","description":"Senior DevSecOps / Platform Engineer - Agentic AI\nJob Locations\nUS-NJ-Basking Ridge | US-NJ-Woodbridge | US-NJ-Red Bank\n\nResponsibilities\nPeraton Labs is seeking a Senior DevSecOps / Platform Engineer to own the Agentic AI platform end-to-end across delivery, infrastructure, runtime operations, and platform health. This role will be responsible for building and operating the technical backbone that enables secure, reliable, and scalable platform delivery, from CI/CD pipelines and automated testing through EKS cluster operations, AWS infrastructure, monitoring, alerting, and synthetic health checking. The ideal candidate combines deep technical execution with strong operational judgment and a builder mindset, with the ability to design systems that are not only functional, but supportable, observable, secure, and audit‑ready.\n\nThis is an opportunity to own the platform layer of a highly visible and ambitious Agentic AI environment. You will work on meaningful problems that require strong technical judgment, operational rigor, and modern engineering practices. For the right candidate, this role offers the chance to build real systems, improve platform resilience, and directly influence how advanced AI‑enabled capabilities are delivered in secure, compliant, and production‑ready ways.\n\nOwn and operate the Agentic AI platform end-to-end across CI/CD, cloud infrastructure, Kubernetes operations, observability, and runtime reliability\n\nDesign, build, and maintain CI/CD pipelines across GitHub Actions and/or GitLab CI, enabling secure, repeatable, and efficient delivery workflows\n\nImplement and improve automated testing and quality gates within the software delivery lifecycle, including build validation, integration checks, security testing, and deployment controls\n\nLead operational ownership of Amazon EKS / Kubernetes environments, including cluster lifecycle management, upgrades, troubleshooting, RBAC, Helm‑based deployments, pod identity, and GitOps‑aligned workflows\n\nBuild and maintain AWS infrastructure supporting platform and application needs across services such as VPC, IAM, S3, RDS, CloudTrail, and KMS\n\nOwn infrastructure provisioning and lifecycle management through OpenTofu / Terraform and related infrastructure‑as‑code practices\n\nDesign and operate a mature monitoring, logging, and alerting stack using CloudWatch, Prometheus/Grafana, or equivalent tooling\n\nDevelop actionable alerts, service health indicators, and SLO‑aligned operational thresholds that support fast triage and resilient service delivery\n\nBuild and maintain synthetic and transactional monitoring that exercises real authentication flows, user journeys, and critical service transactions\n\nImplement and maintain DAST and runtime security testing in delivery pipelines using tools such as OWASP ZAP, Burp, Nuclei, or equivalent\n\nSupport security‑focused CI/CD practices including secrets management, least privilege, software supply chain integrity, and audit evidence generation\n\nDrive modern engineering delivery patterns such as trunk‑based development, merge‑request‑driven change, and automated release quality controls\n\nQualifications\nRequired Qualifications\n\nMinimum of BS with 8+ years of experience, MS with 6+ YoE, or PhD with 3+ YoE in platform engineering, DevOps, SRE, or closely related infrastructure engineering roles\n\nDeep CI/CD experience with GitHub Actions and/or GitLab CI\n\nStrong hands‑on background operating Amazon EKS / Kubernetes environments\n\nSenior‑level AWS experience across core services including VPC, IAM, S3, RDS, CloudTrail, and KMS\n\nStrong experience building and operating monitoring, logging, and alerting solutions at scale using CloudWatch, Prometheus/Grafana, or equivalent\n\nHands‑on infrastructure‑as‑code experience using OpenTofu / Terraform\n\nExperience supporting agile delivery models, including trunk‑based development, MR‑driven change, and automated quality gates\n\nStrong security and compliance engineering foundation, including secrets management, least privilege, supply chain integrity, and audit evidence support\n\nExperience implementing automated testing in CI/CD pipelines\n\nExperience running DAST and security testing against live services in pipeline workflows, including triage and gating of findings alongside SAST/SCA results\n\nExperience building synthetic and transactional monitoring, including scripted health checks that validate real auth flows and critical transactions\n\nStrong troubleshooting, systems thinking, and operational ownership mindset\n\nUS Citizenship is a requirement for this position\n\nPreferred Qualifications\n\nExperience implementing BigBang / Platform One\n\nFamiliarity with Iron Bank, Sigstore/Cosign, and hardened image pipeline practices\n\nPrior experience supporting systems pursuing or maintaining an ATO\n\nExperience with contract testing such as PACT\n\nExperience with chaos engineering concepts or tooling\n\nExperience with progressive delivery approaches such as canary or blue/green deployments with automated rollback based on health‑check failure\n\nExperience working in regulated or mission environments aligned to NIST 800‑171, CMMC, FedRAMP, or DoD security expectations\n\nBackground helping mature platform reliability and security in cloud‑native environments supporting sensitive workloads\n\nTarget Salary Range\n$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.\n\nEEO\nEqual opportunity employer, including disability and protected veterans, or other characteristics protected by law.\n\n#J-18808-Ljbffr","company":"Peraton","rawCompany":"peraton","city":"Basking Ridge","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-07-16T04:03:33.315Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"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":"Senior DevSecOps / Platform Engineer - Agentic AI","description":"Senior DevSecOps / Platform Engineer - Agentic AI\nJob Locations\nUS-NJ-Basking Ridge | US-NJ-Woodbridge | US-NJ-Red Bank\n\nResponsibilities\nPeraton Labs is seeking a Senior DevSecOps / Platform Engineer to own the Agentic AI platform end-to-end across delivery, infrastructure, runtime operations, and platform health. This role will be responsible for building and operating the technical backbone that enables secure, reliable, and scalable platform delivery, from CI/CD pipelines and automated testing through EKS cluster operations, AWS infrastructure, monitoring, alerting, and synthetic health checking. The ideal candidate combines deep technical execution with strong operational judgment and a builder mindset, with the ability to design systems that are not only functional, but supportable, observable, secure, and audit‑ready.\n\nThis is an opportunity to own the platform layer of a highly visible and ambitious Agentic AI environment. You will work on meaningful problems that require strong technical judgment, operational rigor, and modern engineering practices. For the right candidate, this role offers the chance to build real systems, improve platform resilience, and directly influence how advanced AI‑enabled capabilities are delivered in secure, compliant, and production‑ready ways.\n\nOwn and operate the Agentic AI platform end-to-end across CI/CD, cloud infrastructure, Kubernetes operations, observability, and runtime reliability\n\nDesign, build, and maintain CI/CD pipelines across GitHub Actions and/or GitLab CI, enabling secure, repeatable, and efficient delivery workflows\n\nImplement and improve automated testing and quality gates within the software delivery lifecycle, including build validation, integration checks, security testing, and deployment controls\n\nLead operational ownership of Amazon EKS / Kubernetes environments, including cluster lifecycle management, upgrades, troubleshooting, RBAC, Helm‑based deployments, pod identity, and GitOps‑aligned workflows\n\nBuild and maintain AWS infrastructure supporting platform and application needs across services such as VPC, IAM, S3, RDS, CloudTrail, and KMS\n\nOwn infrastructure provisioning and lifecycle management through OpenTofu / Terraform and related infrastructure‑as‑code practices\n\nDesign and operate a mature monitoring, logging, and alerting stack using CloudWatch, Prometheus/Grafana, or equivalent tooling\n\nDevelop actionable alerts, service health indicators, and SLO‑aligned operational thresholds that support fast triage and resilient service delivery\n\nBuild and maintain synthetic and transactional monitoring that exercises real authentication flows, user journeys, and critical service transactions\n\nImplement and maintain DAST and runtime security testing in delivery pipelines using tools such as OWASP ZAP, Burp, Nuclei, or equivalent\n\nSupport security‑focused CI/CD practices including secrets management, least privilege, software supply chain integrity, and audit evidence generation\n\nDrive modern engineering delivery patterns such as trunk‑based development, merge‑request‑driven change, and automated release quality controls\n\nQualifications\nRequired Qualifications\n\nMinimum of BS with 8+ years of experience, MS with 6+ YoE, or PhD with 3+ YoE in platform engineering, DevOps, SRE, or closely related infrastructure engineering roles\n\nDeep CI/CD experience with GitHub Actions and/or GitLab CI\n\nStrong hands‑on background operating Amazon EKS / Kubernetes environments\n\nSenior‑level AWS experience across core services including VPC, IAM, S3, RDS, CloudTrail, and KMS\n\nStrong experience building and operating monitoring, logging, and alerting solutions at scale using CloudWatch, Prometheus/Grafana, or equivalent\n\nHands‑on infrastructure‑as‑code experience using OpenTofu / Terraform\n\nExperience supporting agile delivery models, including trunk‑based development, MR‑driven change, and automated quality gates\n\nStrong security and compliance engineering foundation, including secrets management, least privilege, supply chain integrity, and audit evidence support\n\nExperience implementing automated testing in CI/CD pipelines\n\nExperience running DAST and security testing against live services in pipeline workflows, including triage and gating of findings alongside SAST/SCA results\n\nExperience building synthetic and transactional monitoring, including scripted health checks that validate real auth flows and critical transactions\n\nStrong troubleshooting, systems thinking, and operational ownership mindset\n\nUS Citizenship is a requirement for this position\n\nPreferred Qualifications\n\nExperience implementing BigBang / Platform One\n\nFamiliarity with Iron Bank, Sigstore/Cosign, and hardened image pipeline practices\n\nPrior experience supporting systems pursuing or maintaining an ATO\n\nExperience with contract testing such as PACT\n\nExperience with chaos engineering concepts or tooling\n\nExperience with progressive delivery approaches such as canary or blue/green deployments with automated rollback based on health‑check failure\n\nExperience working in regulated or mission environments aligned to NIST 800‑171, CMMC, FedRAMP, or DoD security expectations\n\nBackground helping mature platform reliability and security in cloud‑native environments supporting sensitive workloads\n\nTarget Salary Range\n$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.\n\nEEO\nEqual opportunity employer, including disability and protected veterans, or other characteristics protected by law.\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T04:03:33.315Z","dateModified":"2026-07-16T04:03:33.315Z","hiringOrganization":{"@type":"Organization","name":"Peraton","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Basking Ridge","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dcf130d1930909e23f99a0ae"},"url":"https://jobsearcher.com/jobs/dcf130d1930909e23f99a0ae"}}