Staff Site Reliability Engineer

TL;DR

Staff Site Reliability Engineer (SRE/AI): Lead development of AI-assisted reliability tooling for analyzing tickets, logs, traces to resolve outages faster with an accent on observability, incident response, and automation. Focus on defining SLO/SLI frameworks, scaling cloud operations for SaaS, and mentoring engineers on SRE practices.

Remote Argentina

Company

Domino builds a platform for AI-driven organizations to develop and operate data science and AI solutions at scale, serving customers like Johnson & Johnson, GSK, and UBS.

What you will do

• Lead development of internal AI-assisted reliability tooling to analyze tickets, logs, traces, and documentation for faster outage resolution.
• Improve observability coverage and signal quality for critical customer-facing systems.
• Own end-to-end incident response, documentation, and prevention of recurrence.
• Guide development of customer-facing observability tools in products.
• Define and mature SLO/SLI frameworks for priority services.
• Scale cloud operations for single-tenant SaaS and improve deployment reliability.
• Mentor engineers and shape SRE practices, workflows, and culture.

Requirements

• Deep experience in SRE, platform engineering, or software engineering with operational ownership.
• Fluency with Kubernetes, Linux, cloud platforms, and observability tooling for production problem-solving.
• Strong ability to identify and close reliability gaps in products, tools, and processes.
• Strong software engineering skills in Python or Go for building reliable internal tools.
• Comfort leading ambiguous technical work and influencing teams without authority.
• History of improving reliability through engineering and automation.
• Strong communication and mentoring experience in technical decision-making.
• Sound judgment on AI/LLM tooling in operational workflows.

Nice to have

• Experience with LLM-based systems, retrieval workflows, SaaS operations, or support/developer tooling.

Culture & Benefits

• Growing a diverse team with people from all backgrounds encouraged to apply.
• Value growth mindset, creative problem-solving, and seeking opportunities for success.
• Emphasize truth-seeking, authenticity, and continuous improvement in all areas.
• Environment of teaching and learning to equip employees for success.