GCP Cloud Architect - Terraform

DMS Vision•Sunnyvale, TX

22h•Onsite

About The Position

The GCP Cloud Architect will architect and deliver Google Cloud Platform workloads and infrastructure. The role includes building infrastructure as code and CI/CD workflows, implementing security and identity controls, designing scalable networking, establishing observability and SRE practices, developing data platforms and pipelines, and automating operations. The architect will also drive reliability, performance, and cost optimization; lead incident response and postmortems; mentor engineers; and document standards. The role uses GCP services and tools including Compute Engine, GKE, Cloud Run, App Engine, Cloud Functions, Cloud Storage, Cloud SQL, Spanner, BigQuery, Dataflow, Dataproc, Composer, Pub/Sub, Terraform, Helm, Cloud Build, Artifact Registry, Git, Docker, Python, Go, Bash, SQL, and Kubernetes fundamentals. The position is listed as onsite in Sunnyvale, California, for a six-month project.

Requirements

8–10 years of experience required.
Experience with GCP services including Compute Engine, Cloud Run, App Engine, Cloud Functions, Cloud Storage, Cloud SQL, Spanner, BigQuery, Dataflow, Dataproc, Composer, and Pub/Sub.
Experience with Terraform, Helm, Cloud Build, Artifact Registry, Git (GitHub/GitLab), and Docker.
Python, Go, Bash, and SQL skills; Kubernetes fundamentals.
Knowledge of VPCs, subnets, Cloud NAT, load balancing, Private Service Connect, Cloud Armor/WAF, VPN/Interconnect, and IAP.
Knowledge of VPC Service Controls, organization policies, KMS, Secret Manager, and IAM.
Experience with Cloud Monitoring, Cloud Logging, Error Reporting, Trace, and Profiler.
LinkedIn profile is required.

Responsibilities

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