Backend​/Systems Engineer

QofAI brings elite consulting and forward-deployed engineering to the middlemarket — turning artificial intelligence into measurable EBITDA growth across every deal, portfolio, and business. We sit where strategy meets software: working alongside investors and operators, finding where AI actually moves the numbers, andthen building the systems that get it there.

When the output is a real decision about real capital, the systems underneath have tobe right. That's the bar this role sets.

You'll own the backend and data systems at the core of the product — the services,pipelines, and abstractions that everyone else builds on. You'll take problems that arrive vague and large, scope them into multi-month plans, and ship them through to production with the reliability and performance the work demands. You'll be one of thepeople who sets how we build at the systems level.

• Design backend and data systems that other engineers depend on, and own the architectural calls that shape their reliability and scale.
• Take an ambiguous, high-stakes systems problem, scope it independently, and drive itto a shipped outcome — without waiting for the path to be handed to you.
• Make the platform fast and dependable where it counts: the performance, correctness,and resilience that let people trust what the product tells them.
• Build for failure — anticipating where things break and designing so they degrade gracefully rather than catastrophically.
• Raise the team's technical judgment through design review, the patterns you establish, and the standard your own work sets.
• Stay hands-on in the code while driving alignment across the engineers and product partners who build around your systems.

We care about depth and judgment far more than any particular technology — we won'tprescribe a language or a framework. We're looking for engineers with at least 5years of experience who:

• Have deep expertise in backend and distributed systems — data, reliability,performance — and have designed systems that others built on top of.
• Have led complex, multi-month technical initiatives from ambiguity to shipped production software.
• Have strong technical judgment: you know which trade-offs matter, when to invest in robustness, and when "good enough, shipped" is the right call.
• Bring a product-minded eye to systems work — building for the outcome, not just the architecture diagram.
• Make the engineers around you better through mentorship, review, and example, andcan drive alignment beyond your immediate team.

• Depth in one of Python, Go, or Rust — we don't care which; the depth is the point.
• Postgres and data-at-scale experience — schema design, query performance, the failure modes that show up under load.
• Hands-on with AWS and containers/Docker.
• Neo4j or graph databases — a strong plus, given how much of what we build isgraph-shaped.
• A track record designing a non-trivial distributed system from scratch.
• Experience with data-intensive or AI-driven products.
• Time spent where reliability had real, measurable consequences.

This role is open remote and from any of our three HQs — the San Francisco Bay Area
, Pittsburgh
, and Austin
. We offer competitive compensation and thekind of foundational ownership that's hard to find: systems that matter, and the latitude to build them right.