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Site Reliability Engineer Job Description

A Site Reliability Engineer (SRE) applies software engineering discipline to operations, building the automation, monitoring, and processes that keep systems available and performant at scale. The best hires think in terms of error budgets and service-level objectives, not vague notions of uptime. They reduce toil through code, design systems that fail gracefully, and treat every incident as a source of durable learning. They balance feature velocity against reliability with data, and make on-call sustainable rather than heroic.

Key skills

Service-level objectives (SLOs), SLIs, and error-budget managementObservability: metrics, logging, tracing (Prometheus, Grafana, OpenTelemetry)Incident response, on-call practices, and blameless post-mortemsAutomation and tooling in Python, Go, or shellKubernetes and container orchestration at production scaleCapacity planning and performance/load testingChaos engineering and resilience testingCI/CD, progressive delivery, and automated rollback

Responsibilities

  • Define and monitor SLOs and SLIs for critical services, managing error budgets with product teams
  • Build observability into systems with meaningful metrics, structured logs, and distributed traces
  • Lead incident response, drive blameless post-mortems, and ensure remediation items are completed
  • Automate operational toil away through tooling, runbooks, and self-healing systems
  • Design and implement progressive delivery, canary deployments, and automated rollback mechanisms
  • Conduct capacity planning and performance testing to stay ahead of growth and traffic spikes
  • Run chaos and resilience experiments to validate failure handling before real incidents occur
  • Partner with development teams to make reliability a shared, design-time concern rather than an afterthought

Requirements

  • 3+ years in SRE, production operations, or backend engineering with a reliability focus
  • Strong coding ability in a language like Python or Go for building operational tooling
  • Hands-on experience defining and operating against SLOs and error budgets
  • Deep experience with observability stacks and incident-response processes
  • Operational experience running containerized workloads in Kubernetes at scale
  • A track record of reducing toil and improving system reliability with measurable results

Nice to have

  • Experience designing and running chaos engineering programs
  • Familiarity with service mesh, traffic management, and progressive delivery tooling
  • Background in capacity planning for high-traffic consumer or B2B platforms
  • Contributions to open-source reliability or observability tooling

What to look for in a great Site Reliability Engineer

The best SREs solve operational problems with code rather than accepting recurring manual toil. Ask candidates to describe a piece of automation they built to eliminate a repetitive task and what it saved. They should be fluent in SLOs and error budgets — listen for whether they frame reliability as a measurable, negotiable resource rather than a vague aspiration. Incident maturity is a strong signal: do they describe blameless post-mortems and durable fixes, or do they assign blame and apply quick patches? A genuine concern for sustainable on-call shows they care about the team, not just the systems.

Interview questions to ask a Site Reliability Engineer

Ask the candidate to walk through how they would set an SLO for a new service and what they would do when the error budget is exhausted — this reveals their grasp of the core SRE philosophy. Present an incident scenario such as cascading failures during a traffic spike and probe how they would detect, mitigate, and prevent it. Ask about the most impactful piece of toil-reducing automation they have built. Include a question on capacity planning: how would they decide when to scale a service ahead of an expected event? Finally, ask how they balance reliability against shipping speed when product wants to move faster.

Where to source Site Reliability Engineers

SRE-focused communities such as the SREcon network, SRE Weekly readership, and Kubernetes Slack workspaces surface practitioners engaged with the discipline. Strong backend and DevOps engineers with a demonstrated reliability bent often make excellent SREs and may be hiding in adjacent talent pools. LinkedIn searches combining SLO, observability tooling, and Kubernetes help qualify candidates. Conference speakers from SREcon, KubeCon, and Velocity are high-signal for senior hires. Internal referrals from your existing infrastructure team are valuable since reliability instincts are hard to assess from a résumé alone.

FAQ

Hiring a Site Reliability Engineer — FAQs

What does a Site Reliability Engineer do? +
A Site Reliability Engineer applies software engineering to operations, ensuring systems are reliable, scalable, and performant. They define service-level objectives, build observability and automation, lead incident response and post-mortems, conduct capacity planning, and reduce operational toil through code. The role balances reliability against feature velocity using error budgets and data-driven tradeoffs.
What is the difference between an SRE and a DevOps Engineer? +
The roles overlap heavily and titles vary by company. DevOps emphasizes culture and the delivery pipeline that lets teams ship quickly and safely, while SRE is a specific implementation of those principles focused on reliability — using SLOs, error budgets, and post-mortems to engineer dependable systems. In practice, both build automation, manage infrastructure, and own production operations.
How much does a Site Reliability Engineer earn? +
SRE compensation is among the higher tiers in infrastructure engineering due to the breadth of skills and operational responsibility involved. Pay varies by seniority, industry, scale of the systems involved, and location. Engineers operating large-scale, high-traffic platforms or in fintech and consumer tech often command premiums. Benchmark against current data for your region, sector, and the scale of systems in question.
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