8+ years of experience in large-scale backend or distributed systems.
Proficient in Python and/or Go programming languages.
Deep understanding of distributed systems, concurrency, and system design under scale.
Proven ownership of architecture for critical production systems.
Ability to simplify complex systems while influencing engineering direction.
Experience with AI/ML infrastructure or LLM-based systems is a plus.
Familiarity with Kubernetes, Docker, and major cloud platforms (AWS/GCP/Azure) is advantageous.
Responsibilities
Architect autonomous systems enabling AI agents to generate production-grade software.
Build infrastructure for millions of applications, addressing latency, concurrency, and reliability.
Establish standards for system correctness and observability across multiple layers.
Collaborate with AI/ML and product teams to create end-to-end systems.
Debug non-deterministic systems and design for unpredictable edge cases.
Mentor junior engineers and cultivate technical culture across teams.
Benefits
401(k) plan for financial security.
Comprehensive health, dental, and vision insurance.
Unlimited Paid Time Off to promote work-life balance.
Flexible Working Hours catering to personal commitments.
Full Job Description
The Role
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.
What You'll Do:
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.
Establish standards for correctness, observability, and fault tolerance across backend, infrastructure, and AI layers.
Collaborate deeply with AI/ML, infrastructure, and product teams to build end-to-end systems from model interaction layers to distributed execution engines.
Debug non-deterministic systems, design for edge cases you can't enumerate, and build systems that reason, not just execute.
Mentor engineers and influence technical culture and direction across teams.
What We're Looking For:
8+ years of experience building large-scale backend or distributed systems.
Strong proficiency in Python and/or Go.
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.
Why Join Us:
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.
Benefits and Perks:
401(k)
Health, dental, and vision insurance
Unlimited Paid Time Off: take the time you need to recharge and come back refreshed
Flexible Working Hours: work arrangements that fit your life and commitments
