Site Reliability Engineer

• Contribute to the entire development cycle of services - inception, design, deployment, operation, and refinement
• Undertake tasks like maintaining services once they live by monitoring availability, latency, and overall system health
• Implement practices like sustainable incident response and blameless post mortems
• Build sustainable systems and services utilizing automation and uplifts
• Scale feature development speed and system reliability by optimizing on-call processes
• Develop documentation of historical knowledge concerning software development, support, IT operations, and on-call duties
• Help to monitor app performance and keep websites up and running

Job Requirements:

• Must possess a Bachelor s/Master s degree in engineering, computer science, or related fields
• Minimum of 5 years experience in working as a Site Reliability Engineer
• Deep understanding of distributed systems, web-based services, databases, or related monitoring systems
• Must have worked as an SRE in a rapidly growing production system taking charge of system uptime, being on-call, and incident handling
• The ability to work with monitoring tools like Grafana, Prometheus, Graphite, and standard cloud monitoring tools is essential
• Familiarity with on-call tools like pagerDuty or OpsGenie is required
• Expertise in developing, designing, and scaling monitoring toolsets and software is necessary
• Ability to contribute to early-stage systems, defining metrics to measure, and alerts to configure will be helpful
• Experience in configuring monitoring systems for Kubernetes databases, VMs, and cloud platforms in a common place is preferred
• Ability to manage or work with the first-level Monitoring/Networking SRE operations team will be beneficial
• Well-versed in systems software and networking principles with knowledge of security software development
• Familiarity with Linux-based development environment and cloud stacks like GCP, Azure or AWS
• Experience in automating recurring processes and building tight full-stack integrations
• Well-versed in programming like C++, Python, or GO (Python is preferred)
• Strong grasp and proven experience in operational automation
• Deep understanding of database systems like both SQL and NoSQL
• Should possess expertise in DevOps, monitoring, and automation tools
• Must be well-versed with change control processes and change controlled environments