
AI Deployment Specialist
3 days ago
As a key player in our organization, you will be responsible for leading the release journey of our AI product on Google Cloud.
- Develop and execute comprehensive release plans to ensure smooth and reliable deployments.
- Collaborate with cross-functional teams, including Engineering, QA, MLOps, and Product, to align stakeholders and drive decision-making.
- Facilitate Go/No-Go meetings and lead release readiness checks to minimize risk and ensure timely delivery.
- Design and manage automation-first release pipelines using Google Cloud tools (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.
Key responsibilities include:
- Orchestrate the end-to-end release lifecycle.
- Coordinate across multiple teams.
- Lead CAB reviews and release readiness checks.
- Build and manage release pipelines.
- Troubleshoot and resolve issues.
- Develop observability dashboards.
To succeed in this role, you should have:
- Proven experience in release management.
- Strong expertise in Google Cloud.
- Hands-on skills in Terraform, Kubernetes, Docker, and Python automation.
- Experience with CI/CD tools.
- Strong leadership, communication, and cross-team coordination skills.
Preference will be given to candidates with experience in AI/ML product release cycles.
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