We are building AI-assisted automation to eliminate manual operations and raise delivery reliability while owning AWS infrastructure and CI/CD end-to-end. As a Chief DevOps Engineer, you will evolve Terraform and Jenkins, tune SonarQube quality gates, and use Claude Code to accelerate implementation across the team.
Responsibilities
- Spot manual, repetitive, or error-prone operational work and replace it with automated, AI-assisted workflows, then quantify the time and toil eliminated
- Develop and maintain Terraform infrastructure as code, covering modules, state strategy, environment promotion, drift detection, and remediation
- Own and enhance Jenkins pipelines across build, test, security scan, artifact, and deploy stages, including shared libraries and reusable pipeline patterns
- Integrate and calibrate SonarQube quality gates so code quality and security findings highlight what matters without generating noise
- Leverage coding agents such as Claude Code as a primary implementation vehicle by breaking down work, setting specs and guardrails, directing execution,



and rigorously reviewing results
- Architect and debug AWS systems end to end, spanning compute, networking, IAM, and storage, and understand how these services behave under failure
- Respond to and resolve production and pipeline incidents, then turn learnings into runbooks and automation to prevent repeat issues
- Assess whether existing tooling is still the right fit, and when change is needed, plan and deliver migrations methodically while keeping developers supported and productive
- Document delivered automation and infrastructure so the whole team can understand, operate, and maintain what you build

Requirements
- 7+ years of experience with AWS core services (EC2, ECS/EKS, S3, IAM, VPC, RDS, CloudWatch), including practical knowledge of failure behavior in real-world scenarios
- Production background with infrastructure as code using Terraform, OpenTofu, Pulumi, CloudFormation/CDK, or simila

📌 Chief DevOps Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina