Site Reliability Engineer

Advance Career Solutions

Pune District

On-site

INR 1,200,000 - 1,800,000

Full time

5 days ago
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Job summary

Advance Career Solutions is seeking an experienced DevOps/SRE engineer to design, deploy, and manage scalable infrastructure on Google Cloud Platform. You will implement SRE practices for availability, performance, and reliability.

You will manage GCP services such as GKE, Compute Engine, Cloud Storage, Cloud SQL, Pub/Sub, and build CI/CD pipelines using Jenkins, GitLab CI, Cloud Build, or similar tools. You will work with Kubernetes, Docker, Terraform/IaC and automate tasks with Python/Bash.

Qualifications

  • Experience designing cloud infrastructure and SRE implementations.
  • Experience with GKE, Compute Engine, Cloud Storage, Cloud SQL.
  • Proficient in CI/CD tooling and automation.

Responsibilities

  • Design, deploy, and manage scalable GCP infrastructure.
  • Implement SRE practices for availability and performance.
  • Manage GCP services including GKE, Compute Engine, Cloud Storage, Cloud SQL, Pub/Sub.
  • Build and maintain CI/CD pipelines using Jenkins, GitLab CI, Cloud Build.
  • Work with Kubernetes, Docker, Terraform for IaC and container orchestration.
  • Implement monitoring, logging, alerting, and incident management.
  • Automate tasks with Python/Bash and troubleshoot production issues.

Skills

SRE practices
CI/CD automation
Python scripting
Shell scripting
GCP expertise

Tools

Jenkins
GitLab CI
Cloud Build
Kubernetes
Docker
Terraform

Job description

Role & responsibilities

Job Description:

  • Design, deploy, and manage scalable infrastructure on Google Cloud Platform (GCP).
  • Implement Site Reliability Engineering (SRE) practices for availability, scalability, and performance.
  • Manage GCP services such as GKE, Compute Engine, Cloud Storage, Cloud SQL, Pub/Sub, Cloud Load Balancing.
  • Build and maintain CI/CD pipelines using Jenkins, GitLab CI, Cloud Build, or similar tools.
  • Strong experience with Kubernetes, Docker, Terraform/IaC.
  • Implement monitoring, logging, alerting, and incident management using Cloud Monitoring, Cloud Logging, and related tools.
  • Automate infrastructure and operational tasks using Python/Bash scripting.
  • Troubleshoot production issues and improve system reliability and performance.
  • Work with development and DevOps teams on deployment, automation, and cloud migration.

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