Description
SAIC is seeking Azure DevOps Engineer to join our team. The Azure DevOps Engineer can work at one of the following SAIC locations: Arlington, VA or Charleston, SC.
Role Overview:
• Role: Platform Engineer building and running our internal developer platform (Azure, CI/CD, Kubernetes, pipelines and automation) for both connected and air-gapped environments.
• Core Tooling: GitLab for source control and pipelines; Terraform as the primary automation language; Python for helpers/tests; Helm for Kubernetes deployments.
• Platform Stack: Microsoft Azure Stack Hub and Hyper-V sidecar.
• Delivery Expectations: trunk-based GitLab workflows, deterministic pipelines with built-in testing and security scans, evidence (JUnit/SBOM/scan) attached to every change, no manual “click-ops.”
• Supply Chain and Air-Gap Hygiene: checksum/signature/SBOM-driven movement of artifacts, mirroring via reposync and Pulp, offline scanning and promotion for high-side environments.
• Security and Identity: secret hygiene by default, secrets management familiarity, and comfort with vulnerability/misconfig scanning in CI (SAST, IaC, secret detection, Semgrep/KICS, Trivy/pip-audit).
Qualifications
Education Requirements:
• Bachelors degree and five (5) years experience; Four (4) years’ experience can be considered in lieu of degree.
Clearance Requirements:
• Must possess an active Top Secret/SCI clearance; US Citizenship required.
Required Skills:
• Strong background deploying and managing cloud resources (Azure, AWS).
• Infrastructure as Code (IaC) experience with tools such as Terraform.
• Scripting language such as PowerShell or Python for pipeline and OS task automation.
• Familiarity with Microsoft enterprise environments (Active Directory, Entra ID, DNS).
• Configuration management experience using tools such as Ansible, Puppet, and Chef.
• Experience with CI/CD pipelines.
Desired Skills:
• Virtual Desktop Infrastructure (VDI) experience, RHEL/Windows patching familiarity, and strong documentation habits for handoffs and audits.
• Experience utilizing Helm for managing Kubernetes deployments.
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