Backend Engineer

Responsibilities:
Own Architect Agent Infrastructure: Design the systems that allow autonomous agents to plan, reason, execute, recover from failures, and continuously improve.
Build for Planetary Scale: Develop backend and infrastructure systems supporting millions of applications, billions of agent actions, and globally distributed workloads.
Solve Reliability for Non-Deterministic Systems: Create new approaches for validation, observability, debugging, evaluation, and fault tolerance where traditional software engineering assumptions no longer apply.
Drive Technical Direction: Set architectural standards across infrastructure, platform, agent runtime, and distributed execution systems.
Create New Engineering Paradigms: Many of the challenges you'll face don't have established solutions. You'll be expected to invent them.
Raise the Bar: Influence engineering culture, mentor senior engineers, and help build one of the highest-talent-density engineering organisations in the industry.
Requirements:
We're less interested in specific technologies and more interested in how you've thought about hard systems problems.
4+ years building large-scale distributed systems.
Experience owning architecture for critical production infrastructure.
Deep expertise in concurrency, distributed computing, reliability, performance, and fault tolerance.
A history of driving technical strategy across multiple teams.
Strong backend expertise in Go, Python, Java, C++, Rust, or similar languages.
You may have worked at companies like Google, Uber, Meta, Databricks, Snowflake, Airbnb, Stripe, Dropbox, Amazon, Microsoft, or exceptional high-growth startups.
Experience With AI Systems Is Helpful But Not Required.
Exceptional systems engineers learn fast.

Experience
4-6 yrs