Job Summary:

We are looking for a skilled Site Reliability Engineer (SRE) with 3 - 5 years of experience in managing production infrastructure, improving system reliability, and automating operational processes. The ideal candidate should have hands-on experience with cloud platforms, monitoring tools, CI/CD pipelines, containerization, and incident management.

Key Responsibilities:

- Maintain the availability, reliability, scalability, and performance of production systems.

- Monitor infrastructure and applications using tools such as Prometheus, Grafana, Datadog, or ELK.

- Automate repetitive operational tasks using Python, Bash, or similar scripting languages.

- Manage cloud infrastructure on AWS, Azure, or GCP.

- Work with Docker and Kubernetes for containerization and orchestration.

- Implement and maintain CI/CD pipelines to improve deployment efficiency.

- Use Infrastructure as Code (IaC) tools such as Terraform or Ansible.

- Troubleshoot production issues, conduct root cause analysis, and implement preventive measures.

- Define and monitor SLIs, SLOs, and SLAs to improve service reliability.

- Support incident response, on-call operations, and post-incident reviews.

- Optimize infrastructure performance, resource utilization, and cloud costs.

- Collaborate with development teams to improve application performance and production readiness.

- Maintain operational documentation, monitoring dashboards, and troubleshooting runbooks.

Required Skills and Experience:

- 3 - 5 years of experience in SRE, DevOps, Cloud Infrastructure, or Production Engineering.

- Hands-on experience with AWS, Azure, or GCP.

- Strong knowledge of Linux/Unix systems and networking fundamentals.

- Proficiency in Python, Bash, Go, or other scripting languages.

- Experience with Docker and Kubernetes.

- Working knowledge of Terraform, Ansible, or other IaC tools.

- Experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or Datadog.

- Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI.

- Understanding of distributed systems, microservices, high availability, and fault tolerance.

- Experience troubleshooting production incidents and performing root cause analysis.