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Senior DevSecOps​/Platform Engineer - Agentic AI

Job in Corridor North, Howard County, Maryland, USA
Listing for: Peraton
Full Time position
Listed on 2026-04-17
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing, SRE/Site Reliability, Cybersecurity
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Senior DevSecOps / Platform Engineer - Agentic AI
Location: Corridor North

Senior Dev Sec Ops  / Platform Engineer – Agentic AI

Job Location:

US-MD – Annapolis Junction

Responsibilities

Peraton Labs is seeking a Senior Dev Sec Ops  / 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.

This 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.

  • Own and operate the Agentic AI platform end-to-end across CI/CD, cloud infrastructure, Kubernetes operations, observability, and runtime reliability
  • Design, build, and maintain CI/CD pipelines across Git Hub Actions and/or Git Lab 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
  • Lead operational ownership of Amazon EKS / Kubernetes environments, including cluster lifecycle management, upgrades, troubleshooting, RBAC, Helm-based deployments, pod identity, and Git Ops-aligned workflows
  • Build and maintain AWS infrastructure supporting platform and application needs across services such as VPC, IAM, S3, RDS, Cloud Trail, and KMS
  • Own infrastructure provisioning and lifecycle management through Open Tofu / Terraform and related infrastructure-as-code practices
  • Design and operate a mature monitoring, logging, and alerting stack using Cloud Watch, Prometheus/Grafana, or equivalent tooling
  • 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
  • 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
  • Drive modern engineering delivery patterns such as trunk-based development, merge-request-driven change, and automated release quality controls
Qualifications

Required Qualifications
  • Minimum of BS with 8+ years of experience, MS with 6+ YoE, or PhD with 3+ YoE in platform engineering, Dev Ops, SRE, or closely related infrastructure engineering roles
  • Deep CI/CD experience with Git Hub Actions and/or Git Lab CI
  • Strong hands‑on background operating Amazon EKS / Kubernetes environments
  • Senior‑level AWS experience across core services including VPC, IAM, S3, RDS, Cloud Trail, and KMS
  • Strong experience building and operating monitoring, logging, and alerting solutions at scale using Cloud Watch, Prometheus/Grafana, or equivalent
  • Hands‑on infrastructure-as-code experience using Open Tofu / Terraform
  • Experience supporting agile delivery models, including trunk-based development, MR-driven change, and automated quality gates
  • Strong security and compliance engineering foundation, including secrets management, least privilege, supply chain integrity, and audit evidence support
  • Experience implementing automated testing in CI/CD pipelines
  • Experience running DAST and security testing against live services in pipeline…
Position Requirements
10+ Years work experience
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