
AI Release Engineer
6 days ago
We are seeking a skilled Release Manager to oversee the release journey of our AI product on Google Cloud.
This role combines release management discipline with cloud engineering expertise. You will be responsible for planning, coordinating across teams, automating pipelines, and ensuring new features and models reach production seamlessly.
Key Responsibilities:
- Orchestrate the end-to-end release lifecycle — from planning and stakeholder alignment to Go/No-Go, deployment, and retrospectives.
- Coordinate across 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.
- Build 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 give real-time visibility into release health.
Requirements:
- Proven release management experience (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).
What We Offer:
- A dynamic work environment where innovation thrives.
- Opportunities for growth and professional development.
- Collaborative team atmosphere with like-minded individuals.
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