Job Location : Chennai, Pune, Kochi, Trivandrum

Experience : 8 Yr

CTC Budget : 3000000 to 3000000

Posted At : 02-Jan-2026

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Job description

We are seeking a highly skilled Site Reliability Engineer (SRE) with strong expertise in Google Cloud Platform (GCP) and CI/CD automation to lead cloud infrastructure initiatives. The ideal candidate will design and implement robust CI/CD pipelines, automate deployments, ensure platform reliability, and drive continuous improvement in cloud operations and DevOps practices.

 

Key Responsibilities:

 

•        Design, develop, and optimize end-to-end CI/CD pipelines using Jenkins, with a strong focus on Declarative Pipeline syntax.

•        Automate deployment, scaling, and management of applications across various GCP services including GKE, Cloud Run, Compute Engine, Cloud SQL, Cloud Storage, VPC, and Cloud Functions.

•        Collaborate closely with development and DevOps teams to ensure seamless integration of applications into the CI/CD pipeline and GCP environment.

•        Implement and manage monitoring, logging, and ing solutions to maintain visibility, reliability, and performance of cloud infrastructure and applications.

•        Ensure compliance with security best practices and organizational policies across GCP environments.

•        Document processes, configurations, and architectural decisions to maintain operational transparency.

•        Stay updated with the latest GCP services, DevOps, and SRE best practices to enhance infrastructure efficiency and reliability.

 

Mandatory Skills:

•        Google Cloud Platform (GCP) – Hands-on experience with core GCP compute, networking, and storage services.

•        Jenkins – Expertise in Declarative Pipeline creation and optimization.

•        CI/CD – Strong understanding of automated build, test, and deployment workflows.

•        Solid understanding of SRE principles including automation, scalability, observability, and system reliability.

•        Familiarity with containerization and orchestration tools (Docker, Kubernetes – GKE).

•        Proficiency in scripting languages such as Shell, Python, or Groovy for automation tasks.

Preferred Skills:

•        Experience with Terraform, Ansible, or Cloud Deployment Manager for Infrastructure as Code (IaC).

•        Exposure to monitoring and observability tools like Stackdriver, Prometheus, or Grafana.

•        Knowledge of multi-cloud or hybrid environments (AWS experience is a plus).

•        GCP certification (Professional Cloud DevOps Engineer / Cloud Architect) preferred.