Brooksource is seeking a GCP-dominant Platform Engineer who operates at the infrastructure and platform level within Google Cloud. The role focuses on enabling and operating a platform that consolidates enterprise data into BigQuery to support analytics and reporting, while collaborating closely with product, QA, and data engineering teams.
Responsibilities:
- Build, maintain, and review infrastructure-as-code using Terraform and Git-based workflows
- Participate in pull request reviews and collaborate on platform design and implementation
- Design and operate cloud-native services within Google Cloud, including: Cloud Run for containerized workloads, BigQuery, Apigee, IAM, networking, and GCP project design
- Partner closely with Data Engineers, QA, and application teams to understand workload behavior and performance
- Monitor and improve reliability, observability, and operational performance of cloud workloads
- Support event-driven and streaming use cases using Confluent (managed Kafka)
- Enable development teams through standardized, self-service platform capabilities
- Balance governance, cost, security, and delivery velocity across the platform
Requirements:
- 4–8 years of experience as a Platform Engineer, Cloud Engineer, or Infrastructure Engineer
- Google Cloud is the dominant cloud in your recent experience (50% or more)
- Strong hands-on experience with: Terraform
- Git and pull request workflows
- Google Cloud IAM and networking
- Cloud Run
- BigQuery
- Experience working closely with data engineering teams and data pipelines
- Ability to reason across the full stack, from infrastructure design to runtime performance and troubleshooting
- Experience supporting production workloads in cloud environments