Job Details:
Job title: Technology Lead | Development process generic | Cloud Application Development process
Work Location with Zip code: BolingbrookIL60440.
Duration of the project: 6 Months
This role requires any travel (Yes/No): NO
Please confirm if this would be onsite from day one OR Initial remote for 2-3 months, and then expect the candidate to work from the office OR 100% Remote: Hybrid
Is this a 100% remote role? NO
Vendor rate range: $ 71.00
Minimum years of experience required: 8-10 years
Would you require the candidates to meet you for an in-person interview? Yes
Education Qualification required: Bachelor's / Masters
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.