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.

Skills

Gcp,Jenkins,CICD