GCP Engineer (Golang)

TL;DR

GCP Engineer (Golang/Terraform): Building and maintaining components of the Data Analytics Platform on Google Cloud with an accent on infrastructure automation and platform tooling. Focus on developing Golang-based automation services, implementing IaC solutions, and ensuring the scalability and security of cloud-native data workloads.

Location: Onsite in Warsaw (Pańska 97), Poland

Salary: 13,000 – 25,000 PLN gross

Company

hirify.global develops scalable, secure, and automated cloud solutions to enable data-driven products across the ING banking group.

What you will do

• Build and maintain components of the Data Analytics Platform on Google Cloud.
• Develop infrastructure automation services and platform tooling using Golang.
• Design and implement cloud-ready IaC solutions using Terraform and CI/CD pipelines.
• Support platform tenants to ensure smooth onboarding and efficient usage.
• Implement and improve monitoring, logging, and alerting for platform services.
• Collaborate with data engineers, scientists, and stakeholders to deliver secure and cost-efficient solutions.

Requirements

• 3+ years of hands-on experience with Google Cloud Platform (GCP).
• Must-have: Practical experience with Golang (e.g., CLI tools, microservices, APIs, or concurrency implementations).
• Practical experience with managed GCP services such as GKE, Cloud Run, BigQuery, Dataproc, or Vertex AI.
• Strong Infrastructure as Code (IaC) mindset and practical experience with Terraform.
• Experience with deployment automation using Docker, Kubernetes, and CI/CD pipelines.
• Experience with monitoring, logging, alerting, and production troubleshooting.

Nice to have

• Experience with secure authentication and encrypted workloads (OIDC, KMS, SSL/TLS).
• Background in distributed systems or large-scale data processing on GCP.
• Experience supporting internal platform users or tenants.

Culture & Benefits

• Work within a distributed, multinational, and multicultural team.
• Environment that values ownership, automation, and a practical engineering mindset.
• Culture that encourages experimentation while maintaining high production reliability and security.
• Opportunity to work with a modern cloud tech stack and contribute to global engineering standards.