Lead NOC/Site Reliability Engineer

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Responsibilities

• 6+ years of experience in SRE, DevOps, or infrastructure management.
• Lead the NOC/SRE team from the front, ensuring a culture of proactive monitoring, rapid response, and continuous improvement.
• Act as the primary escalation point for major incidents, providing technical guidance and decision-making.
• Collaborate with DevOps, Engineering, and Product teams to enhance system reliability.
• Define best practices, incident response protocols, and runbooks for the team.
• Lead log tracing and deep troubleshooting for infrastructure, network, and application issues.
• Reduce MTTR (Mean Time to Resolution) and improve incident management processes.
• Expertise in troubleshooting complex infrastructure and application issues.
• Strong knowledge of log tracing, distributed tracing, and observability tools (e.g., ELK, Splunk, Grafana, Prometheus, OpenTelemetry).
• Deep understanding of SLAs, SLOs, and error budgets.
• Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).
• Good knowledge of Terraform, Kubernetes, Docker, and cloud architectures.
• Proficiency in monitoring and observability tools (New Relic, Prometheus, Datadog, etc.).
• Understanding of CI/CD pipelines, automation, and infrastructure as code (IaC).
• Basic scripting skills in Python, Go, Shell, or similar.
• Strong troubleshooting skills for complex distributed systems.
• Ability to mentor junior engineers and drive SRE best practices.
• Willingness to primarily work during 3:30 PM to 3:30 AM IST, with flexibility to adjust shifts as needed based on operational requirements
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Strong incident management, troubleshooting, and RCA skills.
  

Qualifications

• 6+ years of experience in Site Reliability Engineering (SRE) / NOC / DevOps roles.
• Proven leadership experience, managing or mentoring a team.
• Hands-on experience with Terraform for Infrastructure as Code (IaC).
• Experience in Python for automation and scripting.
• Expertise in troubleshooting complex infrastructure and application issues.
• Strong knowledge of log tracing, distributed tracing, and observability tools (e.g., ELK, Splunk, Grafana, Prometheus, OpenTelemetry).
• Deep understanding of SLAs, SLOs, and error budgets.
• Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).
• Familiarity with CI/CD pipelines and GitOps practices.
• Strong problem-solving skills and the ability to make quick, data-driven decisions under pressure.