Senior DevSecOps Engineer

What You Bring

Basic Qualifications

Bachelor's degree with 12 years professional experience, or Associate's degree with 14 years professional experience, or MS degree with 10 years professional experience, or high school diploma/equivalent with 16 years professional experience

Hands-on experience building and maintaining CI/CD pipelines in GitHub Actions, GitLab CI, or comparable systems — including pipeline-as-code, reusable workflows, and integrated quality/security gates

Production experience operating Kubernetes, ideally Amazon EKS — cluster upgrades, RBAC, Helm-based deployments, and troubleshooting workload issues

Practical AWS experience across core services: VPC, IAM, S3, RDS, CloudTrail, and KMS

Infrastructure-as-code experience with OpenTofu, Terraform, or comparable — writing modules, managing state, and driving change through code review

Experience implementing and tuning monitoring, logging, and alerting using CloudWatch, Prometheus/Grafana, or equivalent tooling

Familiarity with identity and access management patterns — SSO/SAML/OIDC integration, RBAC, and provisioning/deprovisioning workflows

Experience integrating security testing into delivery pipelines (SAST, DAST, SCA, secrets scanning, or dependency scanning) and driving findings to closure

Solid scripting and automation skills in Python, Go, Bash, or comparable

Working knowledge of secrets management, least-privilege design, and software supply chain integrity practices

Comfort with modern engineering delivery patterns: trunk-based development, merge-request-driven change, and automated release quality controls

Clear written and verbal communication — able to document runbooks, write actionable alerts, and coordinate with security, program, and customer stakeholders

U.S. Citizenship required

Must have the ability to obtain and maintain a Public Trust clearance

Preferred Qualifications

Experience operating Amazon EKS at scale, including add-on lifecycle, node group strategy, pod identity, and IRSA

GitOps experience with ArgoCD, Flux, or comparable

Experience with DAST and runtime security tooling such as OWASP ZAP, Burp Suite, Nuclei, or equivalent

Experience implementing SLIs/SLOs and error-budget-driven operational practices

Experience building synthetic and transactional monitoring that exercises real authentication flows and critical user journeys

Familiarity with IAVM tracking, vulnerability remediation workflows, and evidence generation for compliance reporting

Exposure to policy-as-code frameworks: OPA/Rego, Kyverno, or Conftest

Experience with software supply chain integrity: SBOM generation, image signing (Cosign/Sigstore), SLSA provenance

Experience supporting FedRAMP, NIST 800-53, RMF, or comparable federal compliance environments

Experience with distributed tracing and modern observability stacks: OpenTelemetry, Loki, Tempo, or ELK

Active security clearance or eligibility

Relevant certifications such as CKA/CKS, AWS Solutions Architect / Security, or Terraform Associate

Prior experience supporting AI/ML or Agentic AI platforms in production

Why Peraton

Peraton is a next-generation national security company delivering mission capabilities across defense, intelligence, space, cyber, and federal civilian markets. The platform work you do here directly shapes how advanced AI-enabled capabilities reach mission teams — securely, compliantly, and in production.

Peraton is seeking a Senior DevSecOps Engineer to join our team in Reston, VA — a DevSecOps / Platform Engineer who will help build and operate our Agentic AI platform across delivery, infrastructure, runtime operations, and platform health.

About the Role

You’ll contribute to the technical backbone that keeps platform delivery secure, reliable, and scalable — from CI/CD pipelines and automated testing through EKS cluster operations, AWS infrastructure, monitoring, alerting, and synthetic health checking.

We're looking for an engineer who pairs strong technical execution with operational discipline and a builder mindset — someone with the judgment to design systems that are not only functional, but supportable, observable, secure, and audit-ready. You'll take ownership of meaningful areas of the platform while working alongside a team of senior DevSecOps and platform engineers.

Why This Role Stands Out

This is a chance to shape the platform layer of a highly visible and ambitious Agentic AI environment. The problems are real, the technical judgment matters, and the engineering practices are modern. For the right candidate, this role is a direct path to building systems that improve platform resilience and shape how advanced AI-enabled capabilities are delivered in secure, compliant, and production-ready ways.

What You’ll Do

Key responsibilities may include, but are not limited to:

Help operate the Agentic AI platform across CI/CD, cloud infrastructure, Kubernetes operations, observability, and runtime reliability

Build and maintain CI/CD pipelines across GitHub Actions and/or GitLab CI, enabling secure, repeatable, and efficient delivery workflows

Implement and improve automated testing and quality gates within the software delivery lifecycle, including build validation, integration checks, security testing, and deployment controls

Plan and execute releases and deployments — coordinating change windows, managing release artifacts, running deployment automation, validating post-deployment health, and supporting rollback procedures

Support operational ownership of Amazon EKS / Kubernetes environments, including cluster lifecycle activities, upgrades, troubleshooting, RBAC, Helm-based deployments, pod identity, and GitOps-aligned workflows

Build and maintain AWS infrastructure supporting platform and application needs across services such as VPC, IAM, S3, RDS, CloudTrail, and KMS

Contribute to infrastructure provisioning and lifecycle management through OpenTofu / Terraform and related infrastructure-as-code practices

Administer user management for the platform — identity provider integration (SSO/SAML/OIDC), role-based access control (RBAC), provisioning and deprovisioning workflows, and periodic access reviews

Help design and operate a mature monitoring, logging, and alerting stack using CloudWatch, Prometheus/Grafana, or equivalent tooling

Routinely assess system logs to detect anomalies, configuration drift, misuse, and security-relevant events; triage findings and drive remediation in coordination with senior engineers and the customer security team

Develop actionable alerts, service health indicators, and SLO-aligned operational thresholds that support fast triage and resilient service delivery

Build and maintain synthetic and transactional monitoring that exercises real authentication flows, user journeys, and critical service transactions

Track and remediate Information Assurance Vulnerability Management (IAVM) notices and other vulnerability advisories — maintain inventory accuracy, drive patching to closure, and produce the evidence required for compliance reporting

Implement and maintain DAST and runtime security testing in delivery pipelines using tools such as OWASP ZAP, Burp, Nuclei, or equivalent

Support security-focused CI/CD practices including secrets management, least privilege, software supply chain integrity, and audit evidence generation

Apply modern engineering delivery patterns such as trunk-based development, merge-request-driven change, and automated release quality controls

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