
AI Product Release Engineer
4 days ago
We are seeking a seasoned Release Engineering expert to lead the release journey of our AI product on Google Cloud. This strategic and hands-on leader will be responsible for planning, coordinating across teams, automating pipelines, and ensuring new features and models reach production seamlessly.
This role blends release management discipline with cloud engineering expertise in Google Cloud, automation, and troubleshooting. The successful candidate will bring clarity during fast-paced AI deployments while building systems that prevent issues before they occur.
- Oversee the end-to-end release lifecycle from planning and stakeholder alignment to deployment and retrospectives.
- Coordinate with Engineering, QA, MLOps, and Product teams to ensure every release is smooth, reliable, and bug-free.
- Lead CAB reviews and release readiness checks to minimize risk.
- Design and manage automation-first release pipelines on Google Cloud (GKE, Cloud Build, Terraform, Python).
- Troubleshoot and resolve cloud environment or configuration issues during releases.
- Develop observability dashboards that provide real-time visibility into release health.
- Proven experience in release management (CAB meetings, Go/No-Go facilitation, stakeholder alignment).
- Strong Google Cloud expertise (GKE, IAM, Networking, Storage, Cloud Build).
- Hands-on skills in Terraform, Kubernetes, Docker, and Python automation.
- Experience with CI/CD tools (GitHub Actions, GitLab, Jenkins, or ArgoCD).
- Familiarity with AI/ML product release cycles (preferred).
- Strong leadership, communication, and cross-team coordination skills.
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