AI Release Lead

3 days ago

Kottayam, Kerala, India beBeeReleaser Full time ₹ 12,00,000 - ₹ 20,00,000

We are seeking a strategic and hands-on leader to own the release journey of our AI product on Google Cloud. You will be responsible for planning, coordinating across teams, automating pipelines, and ensuring new features and models reach production seamlessly.

This role combines release management discipline with cloud engineering expertise. You'll bring clarity during fast-paced AI deployments while building systems that prevent issues before they occur.

The ideal candidate will have proven experience in release management and strong leadership skills. They will also have hands-on skills in Terraform, Kubernetes, Docker, and Python automation, as well as experience with CI/CD tools.

The successful candidate will be able to orchestrate the end-to-end release lifecycle, coordinate across Engineering, QA, MLOps, and Product teams, and lead CAB reviews and release readiness checks to minimize risk.

In return, you will be part of a team that is shaping the future of AI and will have opportunities for growth and development.

**Required Skills and Qualifications**

  • Proven experience in release management
  • Strong leadership and communication skills
  • 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

**Benefits**

  • Competitive salary and benefits package
  • Opportunities for growth and development
  • Collaborative and dynamic work environment

**About Us**

We are a next gen AI consulting firm that harnesses our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve.

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.

About Us:

We are a next-gen AI consulting firm on track to become one of the most admired brands in the world for

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