Software Engineer - Backend

8+ years of experience building large-scale backend or distributed systems.

Deep understanding of distributed systems, concurrency and parallelism, and system design under scale and failure.

Proven track record of owning architecture for critical production systems, not just contributing to them.

You think in trade-offs, simplify complex systems without dumbing them down, and have influenced engineering direction across teams.

Experience with AI/ML infrastructure or LLM-based systems is a strong plus.

Familiarity with Kubernetes, Docker, AWS/GCP/Azure, event-driven systems, and data infrastructure is a bonus.

Define how software gets built in the AI era, not optimize what already exists.

Work on systems already under real-world stress at global scale, early in the company's journey.

Small, high-agency team with zero bureaucracy and direct impact on product and architecture.

Work alongside engineers from Google, Amazon, and Dropbox, Olympiad medalists, and repeat founders.

Top-tier compensation and meaningful equity.

We're not building another developer tool.

We're building the system that replaces software development itself.

As a Staff Engineer on Autonomous Systems, you will define the technical foundation for how AI agents reliably generate, test, and deploy production-grade software at global scale.

This role exists for engineers who think in systems, care about correctness as much as speed, and want to solve problems that don't have playbooks.

Architect autonomous systems where AI agents reliably generate production-grade software, with feedback loops for self-correction, validation, and continuous improvement.

Build infrastructure that supports millions of applications and real-time workloads, solving for latency, concurrency, and reliability at global scale.