Site Reliability Engineer

HappyRobot; San Francisco (CA); Sur place; USD 100 000 - 140 000; Plein temps

Avantages offerts par ce poste

Competitive salary + equity

Ownership of projects

World-class team

Résumé du poste

HappyRobot, located in San Francisco, is searching for an Infrastructure Engineer to enhance our operational resilience. You will manage debugging workflows and ensure system stability while minimizing incident load.

This is a strategic role aimed at improving developer focus and uptime in a fast‑paced, high‑growth AI startup environment. Join a team where your contributions will significantly impact the technology landscape.

Qualifications

• 3+ years of hands‑on experience debugging production systems.
• Strong problem‑solving skills and ability to dive into unfamiliar backend codebases.
• Familiarity with observability and monitoring tools.

Responsabilités

• Own the stability, observability, and debugging workflows.
• Design tools to improve operational resilience.
• Help shift operations from reactive to proactive.

Connaissances

Debugging production systems

Problem-solving

Go

Kubernetes

Observability tools

Outils

Datadog

Prometheus

Sentry

Description du poste

About HappyRobot

HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for global enterprises worldwide.

Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto.

About the Role

We're looking for an Infrastructure 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.

Must‑Have

• 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
• Strong Go and Kubernetes experience.
• Familiarity with observability and monitoring tools (e.g., Datadog, Prometheus, Sentry)
• Clear, calm communication under pressure — especially during live incidents

Nice‑to‑Have

• 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)

Why Join Us?

• 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.