Diagnose and prioritize the most impactful foundational investments across the Super Agent backend, partnering with engineering leadership to sequence them against product delivery
Own the hardest cross-cutting system problems, from architectural decomposition to cross-team interface design, going deep hands-on when the problem demands it
Build shared understanding of system health and risk across the team, helping establish the frameworks and observability needed to make investment decisions with confidence
Raise and maintain our engineering quality bar through pragmatic standards, guardrails, and team practices that prevent regressions and keep code healthy over time
Collaborate with peers across customer, product, and engineering to deeply understand customer needs, make pragmatic tradeoffs that maximize impact, and align on engineering reality
Mentor engineers as a senior peer and force multiplier, sharing expertise across backend architecture and system design while helping shape stronger engineering judgment, more effective collaboration, and a higher-performing team
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably
Requirements
8+ years of industry experience as a backend engineer
Deep expertise in multiple areas of backend engineering such as data modeling, db performance tuning, state management, API design, transactionality, concurrency, fault tolerance, and scaling
Track record of diagnosing systemic architectural problems, prioritizing across competing technical investments, and driving solutions that deliver measurable improvement over time
Experience designing and improving interfaces and boundaries between teams and systems
Excellent writing skills and ability to lead real-time technical-design discussions
Experience working in tandem with Product Managers and Engineers to shape requirements, evaluate tradeoffs, and balance product delivery against foundational investment
Demonstrated ownership and accountability, with a consistent track record of high standards, continuous improvement, and low-ego collaboration
A demonstrated, genuine AI-first approach to engineering
Experience using AI tools in development workflows