Site Reliability Engineer

About Happyrobot

Happy Robot is the AI-native operating system for the real economy—a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission‑critical operations with true autonomy.

Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We’re starting with supply chain and industrial‑scale operations, where resilience, speed, and continuous improvement matter most—freeing humans to focus on strategy, creativity, and other high‑value tasks.

You can learn more about our vision in our Manifesto. Happy Robot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base
10—partners who believe in our mission to redefine how enterprises operate. We’re channeling this investment into building a world‑class team: people with relentless drive, sharp problem‑solving skills, and the passion to push limits in a fast‑paced, high‑intensity environment. If this resonates, you belong at Happy Robot.

We're looking for a Site Reliability Engineer to take the lead on scaling our operational resilience as we grow. You’ll own the stability, observability, and debugging workflows that keep our systems running smoothly. You'll be the go‑to person for untangling complex failures in real time, designing tools that turn chaos into clarity, and helping us shift from reactive to proactive operations.

This is a high‑impact, high‑trust role where you’ll shape how reliability is done - reducing incident load, building internal tooling, and directly improving developer focus and system uptime. If you love getting to the root of hard problems and making systems (and teams) stronger, this is your moment.

• 3+ years of hands‑on experience debugging production systems (logs, traces, incidents, etc.)
• Strong problem‑solving skills and ability to dive into unfamiliar backend codebases
• Comfort with Python and Go for reading code and writing small tools/utilities
• Familiarity with observability and monitoring tools (e.g., Datadog, Prometheus, Sentry)
• Clear, calm communication under pressure — especially during live incidents

• Experience working with distributed systems or services at scale
• Built or maintained internal tooling for on‑call teams or reliability workflows
• Familiarity with deployment pipelines, CI/CD, or infra‑as‑code
• Experience improving system observability (e.g., custom metrics, traces, log pipelines)

• Opportunity to work at a high‑growth AI startup
  , backed by top investors.
• Fast Growth - Backed by a16z and YC
  , on track for double‑digit ARR
  .
• Top‑Tier Compensation - Competitive salary + equity in a high‑growth startup.
• Ownership & Autonomy - Take full ownership of projects and ship fast.
• Work With the Best - Join a world‑class team of engineers and builders.

We take full responsibility for our work, outcomes, and team success. No excuses, no blame‑shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it.

We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us.

Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw‑dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching.

Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and…