Google Cloud Platform Engineer (Google Cloud Platform)

Google Cloud Platform Engineer (Google Cloud Platform)
Newyork, NY (5 Days onsite)

Rate: $50/hr on C2C 


Responsibilities
Design, implement, and maintain Google Cloud Platform infrastructure using Terraform (or Deployment Manager) and GitOps-style CI/CD pipelines.
Deploy, operate, and optimize containerized applications on GKE; manage autoscaling, networking, and service mesh components as needed.
Build and maintain CI/CD pipelines (Cloud Build, Jenkins, or equivalent) and automate release processes to reduce manual intervention.
Implement and enforce CI/CD security controls, secrets management, and secure service-to-service authentication.
Configure and manage networking (VPCs, Shared VPC, Cloud NAT, VPN/Interconnect) and hybrid connectivity patterns.
Implement observability: logging, metrics, tracing, dashboards, and alerting (Cloud Monitoring, Prometheus, Grafana).
Manage IAM, service accounts, and least-privilege access patterns; collaborate with Security/Compliance on policy as code.
Drive cost visibility and optimization (labels, budgets, committed use discounts, rightsizing).
Create runbooks, playbooks, and incident response procedures; participate in on-call rotation and post-incident reviews.
Mentor junior engineers, review infrastructure code, and contribute to platform standards and best practices.

Qualifications
5-8 years of Strong hands-on experience with Google Cloud Platform core services (Compute Engine, GKE, Cloud Storage, BigQuery, Pub/Sub).
Proven Terraform (or equivalent IaC) experience and Git-based workflows.
Solid Kubernetes knowledge: deployments, operators, networking, storage, and security.
Experience building and maintaining CI/CD (Cloud Build, Jenkins, GitHub Actions, etc.).
Proficient scripting skills (Python, Bash, or Go) for automation and tooling.
Practical knowledge of networking, DNS, load balancing, and hybrid cloud connectivity.
Experience with observability tooling and incident management.
Strong understanding of cloud security fundamentals and identity management.
Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution.  
Familiarity with AI-enhanced platforms is a plus.  
A solid understanding of AI capabilities and limitations including ethical considerations is expected. 
Solid foundation in Computer Science, with strong competencies in data structures, algorithms and software design. 
Google Cloud Platform Professional Cloud Engineer or Professional Cloud Architect certification.
Prior experience with multi‑tenant platforms or large-scale migration projects.
Familiarity with service meshes (Istio/Anthos), policy-as-code (OPA/Gatekeeper), and CI/CD security scanning.
Experience with data services (BigQuery, Dataflow) or event-driven architectures (Pub/Sub).
Bachelor’s degree in computer science, Engineering, or equivalent experience.
Excellent collaboration and communication skills.
Strong troubleshooting mindset and commitment to operational excellence.