Senior DevOps Engineer

zuven Technologies
Falls Church, VA, United States
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Audit Trail Bash Shell Configuration Management Code Review Continuous Integration DevOps Python (Programming Language) Key Management Windows PowerShell Azure Machine Learning Scripting
+10 more
Delivery Pipeline Software Security Cloudformation Containerization Kubernetes Deployment Automation Bicep Terraform Data Pipelines Docker

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., ? 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.

Requirements

? 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

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