GCP Cloud Engineer

Infosys Pontoon•Bolingbrook, IL
•Hybrid

About The Position

The GCP Cloud Engineer designs, deploys, and manages scalable, secure, and highly available cloud infrastructure and containerized applications on Google Cloud Platform, using Google Kubernetes Engine and Docker. The role implements Infrastructure as Code with Terraform, automates CI/CD pipelines, and optimizes cloud resources for performance, reliability, and cost efficiency. The engineer collaborates with development and DevOps teams to integrate MongoDB and Redis-based solutions, monitor cloud environments, troubleshoot production issues, and support cloud platform operations. The position is hybrid and located in Bolingbrook, Illinois, for a six-month duration.

Requirements

  • 8–10 years of experience.
  • Experience administering and architecting Google Cloud Platform, including GKE, IAM, networking, Cloud Operations, and security best practices.
  • Strong Kubernetes (GKE) and Docker containerization experience, including deployment, scaling, troubleshooting, and cluster management.
  • Experience with Terraform, Infrastructure as Code, CI/CD automation, cloud-native deployments, and DevOps practices.
  • Experience monitoring, troubleshooting, scaling, optimizing costs, and providing production support for GCP environments.

Nice To Haves

  • Experience with MongoDB and Redis Cache.
  • Experience with microservices architecture and service mesh technologies such as Istio.
  • Experience with monitoring and observability tools such as Prometheus, Grafana, and Google Cloud Monitoring (Stackdriver).
  • Experience with cloud cost optimization practices.

Responsibilities

  • Design, deploy, and manage scalable, secure, and highly available GCP infrastructure and containerized applications using GKE and Docker.
  • Implement Infrastructure as Code and automate CI/CD pipelines.
  • Optimize cloud resources for performance, reliability, and cost efficiency.
  • Collaborate with development and DevOps teams to integrate MongoDB and Redis-based solutions.
  • Monitor cloud environments, troubleshoot production issues, and support cloud platform operations.
  • Provide production support and address scalability and reliability needs in GCP environments.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service