AI Agents CI/CD DevOps Engineer

Role overview

Build and evolve a modern CI/CD ecosystem for AI agents and cloud-native applications. You’ll work with developers, cloud, and AI teams to reduce friction in the delivery lifecycle while improving automation, security, and reliability, including Kubernetes deployments.

Key responsibilities

• Design, build, and deploy CI/CD pipelines for AI agents and Azure-based containerized applications.
• Automate CI/CD workflows to reduce manual effort.
• Implement GitHub Actions workflows with:
  • secure authentication
  • secrets management
  • self-hosted runners
• Enable reliable deployments to Kubernetes environments.
• Integrate CI/CD pipelines with artifact repositories and security tools.
• Collaborate with AI developers, infrastructure teams, and QA to improve delivery practices.

Requirements

• Strong expertise in GitHub Actions CI/CD pipelines.
• Hands-on experience building CI/CD workflows for containerized and Kubernetes-deployed applications.
• Working knowledge of Helm and Kubernetes deployment patterns across environments.
• Proficiency in Bash scripting and automation; working knowledge of Python.
• Operational experience with Azure services including AKS, ACR, Entra ID, and secrets management.
• Ability to collaborate effectively with distributed teams across time zones.
• 5+ years in CI/CD, DevOps, or platform engineering.

Nice to have

• Familiarity with LLMOps, AI agent architectures, and multi-environment promotion models.
• Experience with other CI/CD platforms: Azure Pipelines, GitLab CI/CD, or AWS CodePipeline.
• Understanding of GitOps workflows using Argo CD or Flux.
• Relevant certifications such as CKA, AZ-400, or AWS DevOps Engineer – Professional.
• Experience with Go for CI/CD tooling or automation.