Senior DevOps Engineer (Contract)
Fairfax, VA - USA
Job Summary
Job Title: Senior DevOps Engineer (Contract)
Location (On-site Remote or Hybrid): Fairfax VA (Remote)
Contract Duration: Contract until 12/31/2026
Location (On-site Remote or Hybrid): Fairfax VA (Remote)
Contract Duration: Contract until 12/31/2026
Job Summary:
Senior technical contributor responsible for delivering and governing development-stage DevOps build work for internal-use software and platform components (e.g. CI/CD infrastructure-as-code deployment automation) and ensuring release readiness through initial testing evidence and technical artifacts.
Key Responsibilities:
- Design and implement development-stage automation and platform components (coding/configuration) tied to approved scope and milestones.
- Build and maintain CI/CD pipelines and deployment workflows; create reusable templates and standards that support scalable delivery.
- Develop infrastructure-as-code required for new/enhanced application functionality (e.g. environment provisioning secrets/configuration patterns) and support initial environment validation.
- Establish release quality gates (code review static checks initial test evidence) and provide go-live readiness sign-off for defined releases.
- Produce and maintain technical artifacts (ADRs design notes runbooks for initial release) and ensure traceability between tasks code changes and deliverables.
- Mentor mid-level engineers and coordinate with Product/Architecture on implementation decisions.
Required Qualifications:
- 7 years of experience in DevOps / Platform Engineering / SRE with hands-on build delivery.
- Strong proficiency with CI/CD tooling and workflow automation.
- Experience authoring and reviewing infrastructure-as-code (e.g. Terraform CloudFormation Bicep) and configuration management.
- Proficiency in at least one scripting/programming language used for automation (e.g. Python Bash PowerShell).
- Experience implementing secure deployment patterns (secrets management least privilege auditability).
- Demonstrated ability to produce technical documentation and delivery artifacts suitable for audit/traceability.
Preferred Qualifications:
- Experience supporting AI/ML platforms and data pipelines in production environments.
- Experience with containerization and orchestration (e.g. Docker Kubernetes) and/or cloud-native deployment patterns.
- Familiarity with regulated or governed environments requiring documentation and change control. Deliverables / Success Measures: Implemented and documented pipelines/automation aligned to scope; reproducible environment provisioning; successful completion of initial testing evidence for targeted releases; traceable artifacts linking tasks code tests deployment readiness.