DevOps Engineer III

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. In this role, you will focus on building and evolving a modern CI/CD ecosystem that enables fast, reliable, and secure delivery of AI agents and cloud-native applications.

Responsibilities:

• Design build and deployment pipelines for AI agents and Azure‑based containerized applications
• Automate CI/CD workflows to reduce manual effort across build, test, and release processes
• Implement GitHub Actions workflows, including secure authentication, secrets management, and self‑hosted runners
• Enable reliable deployments to Kubernetes environments using Helm and AKS
• Integrate CI/CD pipelines with artifact repositories, security tools, and third‑party systems
• Collaborate with AI developers, infrastructure teams, and QA to continuously improve delivery practices

Requirements:

• 5+ years of experience in CI/CD, DevOps, or platform engineering roles
• Strong expertise in Github Actions pipelines
• Hands-on experience building CI/CD workflows for containerized and Kubernetes-deployed applications
• Proficiency in Bash scripting and automation, with working knowledge of Python
• Operational experience with Azure services, including AKS, ACR, Entra ID, and secrets management
• Working knowledge of Helm and Kubernetes deployment patterns across multiple environments
• Ability to collaborate effectively with distributed teams across time zones
• Experience with additional CI/CD platforms such as Azure Pipelines, GitLab CI/CD, or AWS CodePipeline
• Familiarity with LLMOps practices, AI agent architectures, and multi-environment promotion models
• Understanding of GitOps workflows using tools like ArgoCD or Flux
• Experience with Go for CI/CD tooling or automation
• Relevant certifications such as CKA, AZ-400, or AWS DevOps Engineer Professional