"Google Cloud Platform DevOps Engineer" at Buffalo, NY (Hybrid Onsite) - CG

Role:

Google Cloud Platform Engineer Locations:

Buffalo, NY (Hybrid Onsite)

Duration:

12+ Months Contract F2

F Interview Highly Preferred For Local Candidates Note:

Candidate needs to be in the office 3-4 Days every week. Local or candidates from adjacent states only.

Job Description:

Design, build, and run Google Cloud Platform infrastructure. Provision and manage core Google Cloud Platform services, including: VMs (Linux and Windows) on Compute Engine, GKE clusters, Dataproc clusters, Cloud SQL instances Automate provisioning, config, and deployments using Terraform, Jenkins, Ansible, or Cloud Deployment Manager. Monitor and tune platforms for performance, cost, and scale using Google Cloud Operations Suite (Stackdriver), Prometheus, and/or Grafana.

Keep things secure:

IAM, network controls, and encryption. Partner with app teams to speed up delivery and improve reliability. Troubleshoot prod/non-prod issues, then complete RCA and documentation. Implement backup and disaster recovery for critical services and data. Translate requirements into design specs aligned to business agreements. 5+ years in IT development/engineering. Bachelor s or master s in computer science/engineering (or similar). Google Cloud Platform certs (Professional Cloud DevOps Engineer / Cloud Architect) are a bonus. Exposure to multi-cloud or hybrid setups.

Must-have:

hands-on GKE, Helm, and Kubernetes app deployment experience. Hands-on with Python and Google Cloud Platform services: Composer/Airflow, Data Fusion, Big Query, Cloud Storage, GCE, Dataflow.

Solid DevOps tooling knowledge:

Terraform, Jenkins, Ansible, GitHub, etc. Comfortable on Unix/Linux and with shell scripting. Monitoring/logging experience with Cloud Operations, Prometheus, Grafana.

Good grasp of networking:

VPCs, firewalls, load balancers, DNS. Strong Git skills, including branching strategies. In compliance with the salary transparency law, the expected pay range for this role is $55-60/hr. Actual compensation depends on experience and interview evaluation.