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# Google Cloud Platform Cloud Architect

- **Company:** DMS Vision, Inc.
- **Location:** Santa Clara, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, BigQuery, Cloud Storage, Continuous Integration, Information Engineering, Linux, Network Address Translation, Data Flow Control, Identity and Access Management, Subnetting, Python (Programming Language), Key Management, Performance Tuning, Site Reliability Engineering Practices, Cloudera, Runbook, SQL Databases, Data Logging, Google Cloud, Load Balancing, Cloud Monitoring, Build Server, Amazon Virtual Private Cloud (VPC), Git, Kubernetes, Data Management, Terraform
- **Published:** August 15, 2026
- **Apply:** https://www.dice.com/job-detail/3f7c95ee-28b8-4cc7-bc85-559c4e9daca7

## About the Role

* 8+ years in cloud/platform/data engineering, including 4+ years hands-on with Google Cloud Platform.
 * Strong Linux, containers, and Kubernetes fundamentals; GKE experience preferred.
 * Expertise in IAM, networking, security best practices, and secrets management on Google Cloud Platform.
 * Proficiency in Terraform, CI/CD, Python or Go, and SQL; solid schema/design and performance tuning skills.
 * Proven ownership of production systems, on-call, and resilience improvements., * Multi-project org/folder design and centralized policy controls.
 * FinOps, quota management, and cost governance.
 * Migration experience from on-prem or other clouds.

## Description

* Lead architecture, implementation, and operations of secure, reliable, and cost-efficient solutions on Google Cloud Platform., * Architect and deliver Google Cloud Platform workloads using Compute Engine, GKE, Cloud Run, Cloud Storage, Cloud SQL/Spanner, Pub/Sub.
 * Build infrastructure as code and CI/CD (Terraform, Cloud Build, Git) with environment promotion and guardrails.
 * Implement identity and security controls (IAM, service accounts, Secrets Manager, KMS, org policies, VPC Service Controls).
 * Design scalable networking (VPCs, subnets, NAT, load balancers, Private Service Connect) and interconnectivity.
 * Establish observability and SRE practices (Cloud Monitoring, Logging, Error Reporting; SLIs/SLOs, alerting, runbooks).
 * Develop data platforms and pipelines with BigQuery, Dataflow/Beam, Composer/Airflow, Dataproc; batch and streaming.
 * Automate operations with Cloud Functions/Run and APIs; drive reliability, performance, and cost optimization.
 * Lead incident response and postmortems; mentor engineers and document standards.


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