GCP DevOps Engineer

Job summary

Leads the design, automation, security, and operation of cloud-native platforms on Google Cloud Platform, setting engineering standards and mentoring team members. The role manages GKE clusters, Terraform infrastructure, Harness CI/CD pipelines, cloud networking and security, and services including Cloud SQL and Pub/Sub. It also drives observability, incident response, cost optimization, and AI-assisted automation across DevOps workflows.

Qualifications

• 10 or more years of IT experience in DevOps and cloud engineering.
• 5 or more years of hands-on Google Cloud Platform experience.
• Deep expertise with GKE Autopilot and Standard clusters.
• Strong experience with Terraform and Terraform Cloud.
• Experience building and managing Harness CI/CD pipelines.
• Knowledge of Docker, Kubernetes, GitHub, and Artifact Registry.
• Experience with Cloud Run, Cloud Functions, Compute Engine, and serverless deployments.
• Expertise in cloud IAM, Workload Identity, Secret Manager, Cloud KMS, Binary Authorization, and Cloud Armor.
• Experience with Cloud SQL for PostgreSQL, Firestore, Memorystore, Cloud Storage, and Pub/Sub.
• Knowledge of networking, load balancing, ingress, SSL/TLS certificates, and WAF solutions.
• Experience with Splunk, Google Cloud Monitoring, and incident management.
• Proficiency in Python and Bash scripting.
• Experience using AI tools such as GitHub Copilot, Gemini, and Claude for DevOps workflows.

Responsibilities

• Design, operate, and upgrade GKE Autopilot and Standard clusters, including multi-cluster environments.
• Maintain Terraform code and reusable modules across development, QA, staging, and production.
• Build and optimize Harness pipelines for GKE, Cloud Run, and Cloud Functions, including progressive delivery and rollback.
• Enforce least-privilege IAM, Workload Identity, secrets management, and cloud security controls.
• Manage networking, ingress, load balancing, and SSL/TLS certificate lifecycle.
• Provision and support cloud databases, storage, caching, and messaging services.
• Maintain monitoring and alerting, define SLOs and SLIs, and lead incident response and post-incident reviews.
• Optimize cloud costs through workload scheduling, scale-to-zero environments, and rightsizing.
• Define the platform roadmap, establish engineering standards, review designs and code, and mentor team members.
• Use AI tools and prototype agents to automate DevOps workflows.

Skills

Industry

Contract length

Relocation