Description

You will own the infrastructure, CI/CD pipelines, and reliability practices for GKE-based workloads.

This role is on-site.

Responsibilities

• Build and maintain CI/CD pipelines using GitHub Actions or Cloud Build across multiple engineering teams.
• Manage GCP infrastructure as code with Terraform, focusing on GKE clusters and containerized workloads.
• Implement monitoring, alerting, and observability tooling including Cloud Monitoring and Grafana.
• Drive reliability engineering through SLOs, incident response, and runbook maintenance.
• Support MLOps needs by managing model deployment workflows and container registries.

Required Skills

• 3+ years of DevOps or platform engineering experience.
• Hands-on GCP expertise: GKE, Cloud Build, Artifact Registry, Cloud Storage, IAM.
• Proficiency in Terraform or equivalent infrastructure-as-code tools.
• Strong Kubernetes administration (deployment, scaling, networking, RBAC).
• Experience building and maintaining CI/CD pipelines.
• Scripting proficiency in Python, Bash, or similar languages.

Preferred Skills

• Experience supporting ML/AI workloads, including GPU provisioning and model serving.
• GCP Professional DevOps Engineer or Cloud Architect certification.
• Familiarity with ArgoCD, Helm, or GitOps workflows.

Key Skills

Education

Bachelor's degree