Senior Software Engineer - Site Reliability Engineering (Linux)
Summary
Senior SRE owning observability and reliability for mission-critical Linux infrastructure at a global investment and technology firm: writing Go/Python services and automation, running Grafana/Mimir and ELK observability platforms, applying SLIs/SLOs and capacity planning, and leading incident response. Hybrid role in Hyderabad or Bengaluru, 4-8 years experience.
- Key responsibilities
Key responsibilities
- Writing production-grade services, tools, and automation in Go and/or Python for the firm\'s Linux infrastructure.
- Building and running observability platforms covering metrics, logging, tracing, and alerting.
- Designing and maintaining highly available distributed systems, applying SLIs/SLOs, alerting, and capacity planning practices.
- Leading incident response and blameless postmortems, and engineering toil out of operations rather than absorbing it.
- Mentoring junior engineers and contributing to code and design reviews.
Role requirements
- 4-8 years of software development and SRE experience, writing production-grade services, tools, and automation in Go and/or Python.
- Deep understanding of Linux internals, with familiarity across core infrastructure services such as Kerberos, TLS, Puppet, LDAP, DNS, DHCP, mail, and load balancers.
- Hands-on experience building and running observability platforms covering metrics, logging, tracing, and alerting, using tools such as Grafana, Grafana Mimir, and ELK.
- Solid grounding in reliability practices, including SLIs/SLOs, alerting, and capacity planning.
- Experience designing and maintaining highly available distributed systems.
- A track record of leading incident response and blameless postmortems.
- Ability to mentor junior engineers and contribute to code and design reviews.
- Strong problem-solving, communication, and collaboration skills.
- Experience applying GenAI to observability and reliability (e.g., anomaly detection, alert-noise reduction, incident triage, log analysis, AIOps) (preferred).
- Experience with Kubernetes and workflow systems such as Temporal (preferred).
- Hands-on experience operating ClickHouse or similar high-throughput data stores (preferred).
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