AI/DevOps Engineer
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Summary
Builds AI-driven security and compliance automation: designing an auto-remediation engine, scan-result scoring models, and evidence-generation pipelines. Core stack is Python/TypeScript, GitHub Actions, Terraform, and Docker, with production LLM/RAG experience and SOC 2/HIPAA knowledge.
Bridge the gap between AI-powered automation and DevOps workflows. You will design and implement the auto-remediation engine, scan-result scoring models, and evidence-generation pipelines.
Requirements
- 3+ years of DevOps/SRE experience with strong scripting skills (Python, TypeScript)
- Experience with LLM prompting, RAG, or agentic workflows in production
- Proficiency with GitHub Actions, Terraform, and Docker
- Strong understanding of SOC 2, HIPAA, or other compliance frameworks
- Ability to translate security findings into actionable code patches
Preferred Qualifications
- Background in ML engineering or data pipelines (Spark, Airflow, etc.)
- Experience with Checkov custom policies or similar IaC linting tools
- Contributions to compliance or security automation open-source projects