About the job
Join Veeam Software, the authoritative leader in data and AI trust, dedicated to equipping businesses with the tools to understand, secure, and enhance their data and AI resilience. As a pioneer in data resilience and security posture management, Veeam is perfectly positioned at the intersection of identity, data, security, and AI risk. With our headquarters in Seattle and a presence in over 30 countries, we protect more than 550,000 customers globally, empowering them to thrive. Be part of our fearless journey of growth and innovation, impacting some of the world's largest brands.
#LI-JC2
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About the Role
This position centers around creating and enhancing a state-of-the-art CI/CD ecosystem to facilitate the swift, reliable, and secure deployment of AI agents and cloud-native applications. Collaborating with developers and cloud teams across various regions, you will work at the confluence of DevOps, AI delivery, and platform engineering. Your contributions will streamline the development lifecycle while enhancing automation, security, and reliability.
What You’ll Do
- Design, build, and deploy pipelines for AI agents and Azure-based container applications.
- Automate CI/CD workflows to minimize manual interventions in build, test, and release processes.
- Implement GitHub Actions workflows, focusing on secure authentication, secrets management, and self-hosted runners.
- Facilitate dependable deployments to Kubernetes environments utilizing 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 perpetually enhance delivery practices.
Technologies You’ll Work With
- GitHub Actions, Job DSL, GitHub & GitLab APIs
- Docker, Kubernetes, Helm, Azure Kubernetes Service (AKS)
- Azure (ACR, Entra ID, Key Vault), GitHub Secrets
- Python, Bash, Groovy
- JFrog Artifactory, HashiCorp Vault, SonarQube
- Ansible, Terraform
What You’ll Bring
- 5+ years of experience in CI/CD, DevOps, or platform engineering roles.
- Strong expertise in GitHub Actions pipelines.
- Hands-on experience in building CI/CD workflows for containerized and Kubernetes applications.

