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Google Cloud Platform (GCP) Engineer

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Onsite

Google Cloud Platform (GCP) Engineer

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Google Cloud Platform (GCP) Engineer

Skills

Google Cloud PlatformMongoDBDockerMicroservicesRedisGrafanaPrometheusKubernetesTerraform

6 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Riverside, MO 64150, USA

Work mode:

Onsite

Published on:

15 October 2026

What they need


Role: GCP Engineer

Location: Bolingbrook, IL 60440/Hybrid

Type: Contract

Must have skills:

Google Cloud Platform (GCP) administration and architecture, including GKE, IAM, Networking, Cloud Operations, and security best practices.

Kubernetes (GKE) and Docker containerization with strong experience in deployment, scaling, troubleshooting, and cluster management

Infrastructure as Code (Terraform) and CICD automation with experience in cloudnative deployments and DevOps practices

Nice to have skills

Experience with MongoDB, Redis Cache, microservices architecture, and service mesh technologies such as Istio.

Monitoring and observability tools such as Prometheus, Grafana, Google Cloud Monitoring (Stackdriver), and cost optimization practices.

Detailed Job Description:

Handson experience with Google Cloud Platform GCP services, including Google Kubernetes Engine GKE, Compute Engine, VPC, IAM, Cloud Monitoring, and Cloud Operations. Strong expertise in Docker containerization, Kubernetes orchestration, Infrastructure as Code Terraform, CICD automation, cloud networking, security, MongoDB integration, Redis Cache, and cloudnative application deployment. Experience in monitoring, troubleshooting, scalability, cost optimization, and production support of GCP environments.

Minimum years of experience: 8-10 years

Education: Bachelor’s / Masters

The top 3 responsibilities would expect the Subcon to shoulder and execute:

Design, deploy, and manage scalable, secure, and highly available cloud infrastructure and containerized applications on GCP using GKE and Docker.

Implement Infrastructure as Code, automate CICD pipelines, and optimize cloud resources for performance, reliability, and cost efficiency.

Collaborate with development and DevOps teams to integrate MongoDB and Redisbased solutions, monitor environments, troubleshoot production issues, and support cloud platform operations.

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