Staff DevOps Engineer
About The Position
We’re seeking an experienced Staff DevOps Engineer to help design, automate, and scale secure, compliant cloud infrastructure supporting containerized and AI-powered applications. The ideal candidate thrives in fast-paced, compliance-driven environments (SOC 2, HIPAA, or similar) and is passionate about Infrastructure-as-Code (IaC), CI/CD, and enabling developer velocity through automation and best practices. This role will report to the Director of Product Engineering and is expected to travel no more than 10 % of the time. This is a full-time, term-limited position for 1 year. Code for America is based in California and can employ those who reside full-time within the United States. This is a remote position.
Requirements
- 3–5+ years of hands-on DevOps, SRE, or infrastructure engineering experience
- Deep experience with AWS (CloudFormation, IAM, ECS/EKS, Lambda, CloudWatch, S3, VPC, RDS)
- Strong communication, documentation, and collaboration skills in matrixed organizations
- Familiarity with Azure or Google Cloud Platform (GCP) a plus
- Proficient in GitHub Actions , Docker , and Kubernetes
Nice To Haves
- Aptible (deployment or compliance automation experience)
- AI/ML infrastructure (GPU orchestration, model serving, or AI workflows)
- Scripting in Ruby, Python , Bash , or Go for automation and tool development
Responsibilities
- Develop and optimize CI/CD pipelines using GitHub Actions for secure, automated deployments
- Implement, maintain, and monitor containerized applications (Docker, Kubernetes, ECS, or EKS)
- Collaborate closely with engineering and security teams to ensure compliance with frameworks such as SOC 2, HIPAA, and NIST 800-53
- Automate cloud resource provisioning, scaling, and governance with reusable modules and policy-as-code
- Manage and monitor infrastructure for performance, reliability, and cost optimization
- Contribute to and enforce secure DevOps best practices (least privilege, secrets management, audit logging, vulnerability scanning)
- Support platform integration for AI/ML workloads, container orchestration, and environment isolation
- Other duties as assigned
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
251-500 employees
