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GCP Cloud SRE DevOps Harness Engineer

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Onsite

GCP Cloud SRE DevOps Harness Engineer

Tata Consultancy Services

GCP Cloud SRE DevOps Harness Engineer

Skills

Google Cloud PlatformDockerDevOpsMicroservicesGitLabJenkinsGrafanaPrometheusKubernetesTerraform

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹500,000 – ₹1,500,000 / year

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

21 September 2026

What they need


Role: Google Cloud (DevOps / SRE) with Harness

Exp:6-8 Years

Location: Hyderabad

Must-Have**

(Ideally should not be more than 3-5)

  • Strong hands-on experience with Kubernetes and GKE.
  • Proficiency in Docker and containerization concepts.
  • Solid understanding of Google Cloud Platform services (Compute, Networking, IAM, etc.).
  • Experience with CI/CD tools (Jenkins, GitLab CI, ArgoCD).
  • Knowledge of Infrastructure as Code (Terraform, Helm).
  • Familiarity with monitoring tools (Prometheus, Grafana) and logging solutions.
  • Good understanding of networking, security, and cloud architecture principles.
  • Certification in Google Cloud Professional or CKA/CKAD.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to work in an agile and fast-paced environment.

Good-to-Have

  • Certification in Google Cloud Professional or CKA/CKAD.
  • Experience with service mesh (Istio) and API gateways.
  • Knowledge of DevSecOps practices.

SN

Responsibility of / Expectations from the Role

1

Design, deploy, and manage Kubernetes clusters (preferably GKE) on Google Cloud Platform.

2

Build and maintain CI/CD pipelines for containerized applications.

3

Develop and optimize Docker images and manage container lifecycle.

4

Implement infrastructure as code (IaC) using tools like Terraform or Helm.

5

Monitor and troubleshoot container orchestration and cloud infrastructure.

6

Ensure security best practices for containers and cloud resources.

7

Collaborate with development teams to enable microservices architecture and cloud-native solutions.

8

Automate operational tasks and improve system reliability and scalability.

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