Sr. Site Reliability Engineer - Incident Response

Sr. Site Reliability Engineer - Incident Response

The Site Reliability Engineer - Incident Response is a critical enterprise-level role responsible for accelerating incident resolution and enhancing the overall incident management process. This individual partners with engineering teams during active incidents to troubleshoot issues using monitoring and logging tools, and post‑incident delivers executive‑level summaries that clearly communicate impact, root cause, and resolution. The SRE - Incident Response also plays a key role in analyzing incident response effectiveness and identifying opportunities for systemic improvements.

• Bachelor’s degree in a related discipline and 4 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 2 years’ experience; a Ph.D. and up to 1 year of experience; or 16 years’ experience in a related field.
• Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
• Engineering/Tooling:
  Demonstrates the ability to design, build, and maintain engineering solutions and tools that enhance reliability, automate incident response, and reduce operational toil.
• Incident Troubleshooting:
  Skilled in interpreting logs, metrics, and traces to assist in identifying root causes during live incidents.
• Monitoring & Observability:
  Proficient in tools such as Datadog, Splunk, New Relic, or similar platforms.
• Strong programming background in Python, Java, or C#, with experience building, maintaining, and troubleshooting production‑grade services and automation tools.
• Proven ability to design and implement reliable, scalable, and highly available systems, leveraging software engineering best practices to improve system resilience and operational efficiency.
• Experience developing automation and tooling to reduce toil, improve incident response, and support continuous improvement across monitoring, deployment, and recovery processes.
• Ability to collaborate closely with software engineering teams to influence architecture and operational readiness, ensuring reliability is built into the system from design through production.
• AI Centric Engineering:
  Effectively leverages artificial intelligence (AI) and machine learning (ML) tools to automate, optimize, and enhance daily engineering and incident response tasks.
• Analytical Rigor:
  Strong attention to detail in validating incident data and identifying trends or gaps in response.
• Dev Ops & Architecture Knowledge:
  Understanding full‑stack systems, CI/CD pipelines, caching, scaling, and cloud‑native infrastructure.
• Metrics & Reporting:
  Capable of calculating and interpreting key metrics like MTTA (Mean Time to Acknowledge) and MTTR (Mean Time to Resolve).

• Draft and deliver executive summaries post‑incident.
• Develop and coach teams on blameless postmortems.
• Create templates, train facilitators, and help guide root cause analysis (e.g., 5 Whys, fishbone diagrams).
• Maintain a central library of learnings and cross‑cutting themes.

• Actively support engineering teams during incidents by helping diagnose and resolve issues quickly.
• Navigate and analyze data from observability platforms to make informed inferences about root causes.
• Analyze the effectiveness of incident response to identify systemic reliability gaps.
• Standardize incident response workflows (incident roles, comms, escalation paths).
• Create or refine runbooks, incident command frameworks, and severity classification guides.

• Build dashboards around incident frequency, MTTR, MTTA, and recurrence rates.
• Use incident data to drive reliability of OKRs or engineering investments.

• Partner with engineering teams to identify repetitive or high‑impact tasks suitable for automation.
• Develop, implement, and continuously improve custom scripts, bots, and AI‑driven workflows for monitoring, alerting, and incident triage.
• Evaluate and integrate emerging AI/ML…