devops engineer for AI code review

The project is rolling out a shared AI code-review system across the client's GitHub repositories. It includes a review panel of AI reviewers, a source-code exploration accelerator, pipeline integration, and rollout governance.

• Build a shared review workflow that repositories can call and connect it to the existing CI pipeline without one-off changes per repository;
• Set up and run Talk to Your Code, EPAM's accelerator for source-code exploration and analysis, on Kubernetes;
• Connect Talk to Your Code to a database and ensure it follows AWS infrastructure standards;
• Restrict Talk to Your Code access to the company network;
• Ensure runner infrastructure can handle up to seven AI checks per pull request;
• Track infrastructure usage from day one as the project's top risk area;
• Write operating runbooks for the system;
• Support the week 1 kickoff, week 7 and week 11 check-ins, and the final handover in week 13;
• Version-control reviewer rules and prompts and release them like other shared code;
• Maintain one approved list of what is allowed to run across the review system.

• 3+ Years of experience in DevOps engineering;
• Expertise in GitHub Actions, including shared workflows and self-hosted runners;
• Proficiency in Kubernetes and Docker;
• Skills in infrastructure-as-code on AWS, such as Terraform;
• Experience setting up private, secure network access;
• Background building CI/CD pipelines across different tech stacks, including Node/React, .NET, and Python;
• Familiarity with code-quality tools like SonarQube or Snyk;
• English proficiency at B2 level or higher;
• Nice to have: Knowledge of databases, such as PostgreSQL.

• No conditions specified