We are looking for a Senior GCP Platform Engineer to design, build, and evolve cloud platform capabilities in a complex enterprise environment.
You will work hands-on with Google Cloud Platform (GCP), Kubernetes, GKE, and Terraform, helping engineering teams build, deploy, and operate secure, scalable, and reliable cloud-based workloads.
The role combines platform engineering, infrastructure automation, cloud security, CI/CD, and developer enablement. You will collaborate with architects, platform engineers, data engineers, and security teams to improve platform capabilities and enable engineering teams to work more efficiently.
Key Responsibilities
- Design, build, and improve cloud platform capabilities on GCP.
- Develop and operate GKE/Kubernetes environments and container-based workloads.
- Implement Infrastructure as Code using Terraform.
- Build and improve CI/CD and GitOps-based delivery workflows.
- Manage cloud networking, IAM, workload identity, and security configurations.
- Develop reusable platform components and self-service capabilities for engineering teams.
- Improve monitoring, logging, observability, and operational reliability.
- Support engineering teams in onboarding and operating workloads on the platform.
- Contribute to platform architecture, technical standards, and long-term improvements.
Requirements
- Senior-level experience in Platform Engineering, Cloud Engineering, or DevOps.
- Strong, hands-on production experience with Google Cloud Platform (GCP).
- Proven experience with GKE and Kubernetes.
- Strong experience with Terraform and Infrastructure as Code.
- Experience building cloud platform foundations or landing zones.
- Practical knowledge of IAM, workload identity, networking, and cloud security.
- Experience with CI/CD automation and cloud infrastructure delivery.
- Experience with monitoring, logging, and observability.
- Ability to support multiple engineering teams in an enterprise environment.
- Strong technical ownership, problem-solving, and communication skills.
- Professional fluency in English.
Preferred
- GCP data services such as BigQuery, Dataflow, and Pub/Sub.
- Apache Beam, data ingestion, or streaming platforms.
- GitOps, Helm, Backstage, or Internal Developer Platforms (IDPs).
- Python and Bash scripting.
- GCP networking and security services.
- Multi-cloud environments involving GCP, AWS, or Azure.
- Platform engineering in regulated or security-sensitive environments.
- Developer self-service and platform enablement.
