GCP Cloud Architect (Onsite) :: Santa Clara, CA (relocation yes)

DMS Vision • Frisco, TX

18h • Onsite

About The Position

Lead the architecture, implementation, and operation of secure, reliable, and cost-efficient solutions on Google Cloud Platform. The role involves designing and delivering cloud workloads, infrastructure automation and delivery pipelines, security and networking controls, observability and SRE practices, and data platforms. It also includes operational automation, reliability and cost optimization, incident response, mentoring engineers, and documenting standards.

Requirements

• 8+ years in cloud, platform, or data engineering, including 4+ years of hands-on GCP experience.
• Strong Linux, container, and Kubernetes fundamentals.
• Expertise in GCP IAM, networking, security best practices, and secrets management.
• Proficiency in Terraform, CI/CD, Python or Go, and SQL.
• Solid schema design and performance-tuning skills.
• Proven ownership of production systems, on-call responsibilities, and resilience improvements.

Nice To Haves

• GKE experience.
• Multi-project organization and folder design and centralized policy controls.
• FinOps, quota management, and cost governance experience.
• Migration experience from on-premises environments or other cloud providers.

Responsibilities

• Architect and deliver GCP workloads using Compute Engine, GKE, Cloud Run, Cloud Storage, Cloud SQL or Spanner, and Pub/Sub.
• Build infrastructure as code and CI/CD using Terraform, Cloud Build, and Git, including environment promotion and guardrails.
• Implement identity and security controls, including IAM, service accounts, Secrets Manager, KMS, organization policies, and VPC Service Controls.
• Design scalable networking using VPCs, subnets, NAT, load balancers, Private Service Connect, and interconnectivity.
• Establish observability and SRE practices using Cloud Monitoring, Logging, and Error Reporting, including SLIs/SLOs, alerting, and runbooks.
• Develop data platforms and batch and streaming pipelines using BigQuery, Dataflow/Beam, Composer/Airflow, and Dataproc.
• Automate operations with Cloud Functions, Cloud Run, and APIs; improve reliability, performance, and cost efficiency.
• Lead incident response and postmortems.
• Mentor engineers and document standards.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed