Staff Site Reliability Engineer

Responsibilities

• Lead the development of internal AI-assisted reliability tooling, including systems that analyze tickets, logs, traces, and documentation to help teams resolve outages faster with less recurring toil.
• Improve the observability coverage and signal quality for our most critical customer-facing systems.
• Own incident response end-to-end, from detection to remediation, and leave each problem space better documented, better understood, and less likely to recur.
• Guide the development of customer and user-facing observability tools within our products.
• Define and mature SLO/SLI frameworks for priority services.
• Scale cloud operations practices for Domino’s single-tenant SaaS offering, and work with engineering teams to improve the reliability and repeatability of customer deployments and upgrades.
• Mentor other engineers and shape how SRE is practiced at Domino, including incident response workflows, operational readiness expectations, and post-incident learning culture.

Requirements

• Deep experience in Site Reliability Engineering, platform engineering, or a software engineering role with genuine, hands-on operational ownership.
• Fluency with Kubernetes, Linux, cloud platforms, and observability tooling, and the ability to use them to investigate complex, real-world production problems.
• A strong ability to perceive and close reliability gaps in technical products, tools and processes.
• Strong software engineering skills in Python or Go, with a track record of building internal tools or services that people actually rely on.
• Comfort leading technically ambiguous work and influencing direction across teams without needing direct authority to get things done.
• A history of improving reliability through engineering and automation, not just putting out fires manually.
• Strong communication skills and real experience mentoring engineers or shaping technical decision-making on your team.
• Sound judgment about AI/LLM tooling: you know where it genuinely helps in operational workflows and where it adds noise instead of signal.

Nice-to-Haves

• Experience with LLM-based systems, retrieval workflows, SaaS platform operations, or building tooling for support or developer teams.