Job ID: JOB_ID_7958
About the Role:
We are supporting a large-scale cloud platform engineering initiative for a client. This is not a traditional DevOps or application engineering role. You will play a key role in designing and implementing cloud landing zones, identity models, and infrastructure automation frameworks that will support enterprise-wide adoption of GCP.
Year 1 Focus (Current Phase):
- Design and build GCP landing zones (org, folders, projects)
- Implement IAM, security policies, and governance controls
- Develop Terraform-based infrastructure modules
- Enable secure platform services and automation frameworks
- Build and maintain CI/CD pipelines for infrastructure deployment
- Support event-driven and internal platform services
- Automate operational workflows using Python or scripting
Year 2 Evolution (Future State):
- Support expansion into containerized platforms (GKE / Kubernetes)
- Enable scalable compute and application workloads
- Contribute to AI and data platform capabilities
- Help scale platform usage across multiple engineering teams
What We’re Looking For:
We are prioritizing engineers who have owned cloud platforms not just deployed into them.
Required Experience:
- Strong hands-on experience with Google Cloud Platform (GCP)
- Deep experience with Terraform as a primary IaC tool
- Experience designing or managing: GCP org / folder / project structures, IAM roles, policies, and service accounts
- Experience implementing security and governance frameworks
- Experience building or supporting CI/CD pipelines for infrastructure
- Proficiency with Python or scripting for automation
Required Experience (Continued):
- Experience in enterprise or regulated environments (financial services)
- Experience building or contributing to cloud landing zones
- Exposure to platform engineering or internal developer platforms
- Familiarity with GCP networking (Shared VPC, connectivity models)
Modern Engineering Expectations:
We are looking for engineers who are comfortable leveraging AI-assisted development tools to improve productivity. This includes tools such as GitHub Copilot, ChatGPT, Claude, or similar. Using AI for code generation, infrastructure templates, test creation, documentation, and pull request creation and review.
Role Breakdown:
- 70% Infrastructure Engineering (Terraform, GCP, IAM)
- 30% Development & Automation (Python, scripting, tooling)
What This Role Is NOT:
To ensure alignment, this role is not a fit for candidates who are primarily: Data engineers (BigQuery, Spark, ETL-heavy roles), Application developers, DevOps engineers without platform ownership experience.
Why This Role:
- Be part of a ground-up GCP platform build
- Work on enterprise-scale cloud architecture
- Influence how cloud is adopted across a major organization
- Engage with modern engineering practices, including AI-assisted workflows
Special Requirements
Visa constraints: Pv W2. Interview mode: Skype. Domain restrictions: Financial services.
Compensation & Location
Salary: $120,000 – $160,000 per year (Estimated)
Location: San Francisco, CA
Recruiter / Company – Contact Information
Recruiter / Employer: Google
Email: ur.chaudhary@gvrinfotek.com
Recruiter Notice:
To remove this job posting, please send an email from
ur.chaudhary@gvrinfotek.com with the subject:
DELETE_JOB_ID_7958