Site Reliability Engineer

Remote
· Full Time
· Individual Contributor · +7 Years of Experience

Yuno is the AI-native operating system of global commerce, powering the financial infrastructure of enterprise merchants, banks, and wallets. Through a single API, Yuno connects them to pay-ins, payouts, fraud prevention, KYC/KYB, and stable coins globally, so they can operate everywhere. Agnostic by design and connected to 1,000+ payment methods and 460+ integrations in 190+ countries, Yuno optimizes acceptance rates, reduces costs, and strengthens security through specialized AI agents that learn from every transaction.

Global brands including McDonald's, Net Ease Games, Go Fund Me , and Rappi run their payments on Yuno.

Yuno is looking for a Staff Site Reliability Engineer to set the technical direction for reliability across our infrastructure — starting with the platform that provisions, deploys, and manages AI agents at scale on AWS, the system powering payments across 190+ countries. The platform is in production and growing, and we need the most senior reliability voice in the room to evolve the architecture and make sure it stays reliable, observable, and ready to scale.

This is not a "maintain what exists" role, and it's not a single-system role. You'll own the reliability strategy — driving architectural decisions, designing event-driven communication, defining how we measure and defend reliability, and setting the standards other engineering teams build on.

• The platform you own is Yuno's AI agent infrastructure — provisioning and deploying AI agents at scale, plus the agents that route payments and prevent fraud. Keeping the AI-native layer reliable is the core of the role

• AI is our default execution layer: you're encouraged to use AI-assisted tooling across automation, runbooks, incident analysis, and root-cause investigations, and to help define how the wider engineering org adopts it. We care how you use it, not whether you do

• Reliability strategy and standards — define the SLO culture, error-budget policy, and incident practices that scale across engineering teams, turning reliability from firefighting into a measurable, org-wide discipline

• Platform architecture and evolution — drive architectural decisions as the platform matures; the deciding voice on choosing technologies, designing systems, and when to evolve the infrastructure

• Messaging and event-driven architecture — design and own the messaging layer for inter-service communication, replacing synchronous patterns with durable, reliable async messaging

• Infrastructure and deployment — own the cloud infrastructure, automate provisioning with IaC, and ensure the platform scales reliably as transaction volume grows

• Observability — build the monitoring, tracing, and alerting that keeps the platform healthy; when something breaks at 3am, your dashboards and alerts should explain why before anyone has to dig

• Incident leadership and mentorship — act as the senior escalation point for the hardest production problems, run blameless postmortems and root-cause analyses that turn into permanent fixes, and raise the reliability bar by mentoring senior and mid-level engineers

• Chaos engineering mindset — continuous fault injection and resilience experiments that surface weaknesses before they turn into incidents, plus identifying and proposing resilience patterns to prevent those failures from reaching production.

Within your first 6–12 months, you've set the reliability strategy for the platform, driven at least one major architectural evolution (event-driven messaging, streaming reliability, or observability), and engineering teams have adopted…