Google Cloud DevOps

Tata Consultancy Services; Hyderabad; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Tata Consultancy Services in Hyderabad is seeking an experienced DevOps Engineer to design, deploy, and manage Kubernetes clusters on Google Cloud Platform, focusing on scalable, cloud-native architectures.

You will build and maintain CI/CD pipelines for containerized applications, develop and optimize Docker images, and implement IaC using Terraform or Helm, while monitoring performance and security.

Qualifications

• 6–8 years of hands-on experience with cloud and containerization.
• Strong knowledge of Kubernetes and Google Cloud Platform.
• Experience with Docker, Terraform or Helm, and CI/CD pipelines.

Responsibilities

• Design, deploy, and manage Kubernetes clusters (preferably GKE) on Google Cloud Platform.
• Build and maintain CI/CD pipelines for containerized applications.
• Develop and optimize Docker images and manage container lifecycle.
• Implement infrastructure as code (IaC) using Terraform or Helm.
• Monitor and troubleshoot container orchestration and cloud infrastructure.
• Ensure security best practices for containers and cloud resources.
• Collaborate with development teams to enable microservices architecture and cloud-native solutions.
• Automate operational tasks and improve system reliability and scalability.

Skills

CI/CD expertise

Cloud-native design

Container security

DevOps collaboration

Microservices architecture

Tools

Kubernetes

Google Cloud Platform

Docker

Terraform

Helm

Job description

TCS is inviting you to for weekday virtual drive on 15-Oct-26.

Experience-6-8 yrs

Key Responsibilities

• Design, deploy, and manage Kubernetes clusters (preferably GKE) on Google Cloud Platform.
• Build and maintain CI/CD pipelines for containerized applications.
• Develop and optimize Docker images and manage container lifecycle.
• Implement infrastructure as code (IaC) using tools like Terraform or Helm.
• Monitor and troubleshoot container orchestration and cloud infrastructure.
• Ensure security best practices for containers and cloud resources.
• Collaborate with development teams to enable microservices architecture and cloud-native solutions.

Automate operational tasks and improve system reliability and scalability.