Role 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.
Skills
Gcp,Jenkins,CICD
Skills
Gcp,Aws,Jenkins
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