Description

Design, deploy, and maintain Google Cloud Platform infrastructure while automating deployments and ensuring system reliability for AI workloads.

This role is on-site.

Responsibilities

• Design and manage GCP resources including VPCs, Compute Engine, GKE, and storage solutions.
• Build and maintain CI/CD pipelines using Jenkins, ArgoCD, GitLab CI, or GitHub Actions to automate deployments.
• Implement monitoring, alerting, and logging systems using Prometheus, Grafana, or Google Cloud Operations Suite.
• Troubleshoot production incidents, conduct root cause analysis, and define SLIs/SLOs to reduce toil.
• Optimize infrastructure for cost, performance, and security compliance while supporting AI workload health.

Required Skills

• 8+ years of experience in SRE, DevOps, or systems engineering with deep Google Cloud Platform expertise.
• Proficiency in Kubernetes (GKE), Linux, and networking concepts (VPCs, CDNs).
• Strong scripting and programming skills in Python, Go, or Shell.
• Experience with Infrastructure as Code (Terraform or Deployment Manager) and GitOps methodologies.
• Hands-on experience with CI/CD tools such as Jenkins, ArgoCD, Artifactory, and DevSecOps practices.
• Ability to balance system stability with rapid deployment needs and troubleshoot full-stack issues.

Preferred Skills

• Bachelor's degree in Computer Science or related field.
• Experience with GitLab CI or GitHub Actions.

Key Skills

Education

Bachelor's degree