• Build and scale our reinforcement learning environments and the platforms behind them • Drive architecture for scalable, reliable, extensible environment systems and data generation pipelines • Partner with Research, Product, and Ops to turn ambiguous needs into production systems • Build modular, plug-and-play domains that integrate cleanly with training and evaluation loops • Raise the bar on reliability, observability, performance, and data quality

• Define and drive architecture for scalable, extensible RLE systems and data pipelines • Lead development of platform capabilities enabling rapid domain creation • Partner with Research, Product, and Ops to shape strategy and execution • Set standards for reliability, observability, performance, and data quality • Mentor engineers and elevate engineering excellence across the team • Identify and solve systemic bottlenecks in scaling environments and data generation

• Drive technical direction across our Observability team, ensuring alignment between product goals, system design, and engineering execution. • Design, build, and maintain backend systems supporting NetBox Labs' SaaS and on-premise products, including open-source, source-available, and commercial offerings. • Guide how teams structure technical domains, define clear service boundaries, and evolve contracts and interfaces over time. • Collaborate with platform, product, and infrastructure teams to ensure backend systems integrate cohesively across authentication, authorization, billing, and data layers. • Mentor engineers across teams through code reviews, design sessions, and ongoing technical coaching; driving good outcomes within their domains, not just your own. • Operate what you build: participate in deployment, monitoring, and on-call rotations to ensure reliability. • Partner with product managers and engineering directors to translate roadmap goals into well-scoped engineering plans: breaking large initiatives into phases, surfacing risks early, and keeping technical and product timelines in sync. • Contribute to technical documentation, internal knowledge sharing, and raising the overall engineering bar.

• Build new features for our flagship product — the Cozey Operating System (COS) • Create in-house tools and platforms to replace third-party solutions • Develop AI agents to automate and streamline warehouse management workflows • Collaborate closely with operations and product teams to identify pain points and rapidly launch impactful solutions • Own projects end-to-end — from design and architecture to implementation and deployment