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Senior DevOps Engineer

Job in Ashburn, Loudoun County, Virginia, 22011, USA
Listing for: Cubic Corporation
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Systems Engineer, SRE/Site Reliability, Cloud Computing
Salary/Wage Range or Industry Benchmark: 112000 - 138000 USD Yearly USD 112000.00 138000.00 YEAR
Job Description & How to Apply Below

Overview

Senior Platform & Release Engineer – responsible for designing, building, securing, and delivering Kubernetes‑based platforms and release systems in complex operational environments, including offline and air‑gapped deployments. The role blends platform engineering, automation, release management, and developer enablement, with an emphasis on security and AI‑assisted workflows.

Responsibilities
  • Design, build, and maintain Kubernetes‑based platform and release systems for secure and constrained environments.
  • Develop and maintain automation tooling, deployment workflows, and operational utilities using Python, Bash, and infrastructure‑as‑code approaches.
  • Build and support release pipelines, artifact management workflows, and reproducible deployment bundles.
  • Maintain and improve internal operator and engineering workbench tools using modern web technologies.
  • Support Kubernetes platform operations including cluster provisioning, upgrades, configuration management, and troubleshooting.
  • Engineer secure deployment workflows with strong attention to credential handling, certificate management, secrets isolation, and deployment guardrails.
  • Collaborate across engineering teams to improve platform reliability, deployment consistency, and operational efficiency.
  • Troubleshoot complex issues spanning applications, containers, clusters, hosts, networking, storage, and artifact distribution systems.
  • Mentor junior engineers and help establish engineering best practices across platform and release operations.
  • Continuously improve engineering workflows through automation, AI‑assisted tooling, and operational best practices.
Qualifications
  • Senior‑level experience in platform engineering, release engineering, or Dev Ops/SRE roles supporting Kubernetes‑based systems.
  • Hands‑on experience operating Kubernetes in offline, air‑gapped, or otherwise constrained deployment environments.
  • Strong expertise with Kubernetes Helm, RKE2, Ansible Playbooks, and Jinja templating.
  • Strong automation and tooling development experience using Python and Bash.
  • Full‑stack development capability with Type Script/JavaScript, React, and Tailwind CSS.
  • Strong understanding of CI/CD pipelines and artifact management workflows using Git, Artifactory, container registries (including Zot or similar), Helm charts, and signed and reproducible release bundles.
  • Experience implementing secure engineering and deployment practices, including credential and secret management, TLS certificates and CA bundle management, deployment boundaries and operational guardrails.
  • Strong understanding of platform engineering, release engineering, PaaS/SaaS delivery models, and operator‑focused tooling and workflows.
  • Eligibility to obtain a DOD Security Clearance.
Preferred Qualifications
  • Experience supporting government, defense, intelligence community (IC), or similarly regulated environments.
  • Strong Linux systems engineering experience, especially in RHEL/Rocky Linux, Docker/container runtimes, RKE2, networking and storage systems, and host provisioning.
  • Security‑mindful engineering approach balancing automation, maintainability, auditability, and operational constraints.
  • Strong troubleshooting and root‑cause analysis skills across application layers, Kubernetes clusters, host systems, networking, and artifact repositories.
  • Demonstrated ability to mentor engineers and clearly communicate complex platform concepts to technical and non‑technical stakeholders.
Success Looks Like
  • Reliable, repeatable, and secure platform deployments across connected and disconnected environments.
  • Streamlined release and artifact workflows with strong operational visibility and reproducibility.
  • Improved developer and operator experience through automation and tooling.
  • Faster issue resolution through strong system‑level troubleshooting.
  • Continuous improvement of engineering practices using modern automation and AI‑assisted workflows.
Pay Range

$ – $ + benefits. This is a general guideline; actual compensation may vary based on experience, education, and other factors.

Benefits
  • Medical, dental and vision insurance.
  • Company‑paid disability (up to six weeks).
  • Life insurance options and critical illness/accident…
Position Requirements
10+ Years work experience
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