Senior GCP Cloud Architect (DevOps & Platform)
at Techholding
Los Angeles, California, United States, hybrid, senior, contract
posted 17 Sept 2026
- Infrastructure as Code
- Identity-Aware Proxy
- Gemini Enterprise
- GCP Identity Platform
- SAML
- Terragrunt
- SSO
- CMEK
- OpenTofu
- Terraform
- GCP
- OAuth 2.0
- Cloud KMS
- Vertex AI
- CI/CD
- OIDC
- Workload Identity Federation
- AWS
- Observability
About the role
Posted: 2026-09-17
- Hybrid, 1 day per week onsite in Agoura Hills, California, and 4 days remote.
Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR
We are looking for a Senior GCP Cloud Architect for a project-based assignment to own and evolve the Google Cloud platform that underpins our AI enablement work, across networking, IAM, security, governance, infrastructure automation, and platform engineering. This is an architect-level role that stays hands-on: you will set the direction for cloud and system design, make and defend the architectural calls, and remain close enough to the infrastructure-as-code to extend it yourself. You will maintain and evolve the existing environment, support engineering teams onboarding onto the platform, and ensure it remains secure, reliable, cost-effective, and aligned with established standards. The ideal candidate is comfortable inheriting an existing cloud environment, understanding the architecture and design decisions already in place, and improving the platform without unnecessarily rebuilding it.
What you would do
- Own and evolve our GCP landing zone across networking, IAM, security, and governance as requirements change, including the needs of AI enablement workloads.
- Serve as the architectural authority for cloud and system design — set standards, run design reviews, document decisions, and guide teams toward them.
- Make sure the platform is ready to support AI workloads on GCP: identity and access, network boundaries, guardrails, and a repeatable path for teams to adopt GCP AI services.
- Maintain and extend our infrastructure-as-code estate and the automation that deploys it.
- Support engineering teams onboarding onto the platform, and keep the self-service path smooth.
- Keep the platform healthy over time: cost, security posture, reliability, and reducing drift between what’s documented and what’s running.
Read from job-boards.greenhouse.io, last seen 4d ago.