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Senior DevOps Engineer

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RAKS Group LLC

Falls Church, VA (In Person)

Full-Time

Posted 3 days ago (Updated 13 hours ago) • Actively hiring

Expires 6/8/2026

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Job Description

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.

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