Full Stack Engineer (.NET + Front-End) — NetSpeek NetSpeek is the agentic control plane for enterprise physical infrastructure . We govern how AI agents reason about, decide on, and execute actions across enterprise endpoints. Our reasoning and execution layer — Lena — sits in customer production environments, where reliability, observability, and auditability are non-negotiable. TThe Full Stack Engineer ships features end-to-end across the .NET backbone, the React surfaces, and the operator workflows on top of Lena. You'll move across the stack daily. What you'll work on Designing and shipping .NET 6+ backend services that mediate between AI reasoning, device adapters, and operator surfaces. Building React surfaces that present Lena's signal — including uncertainty shape, not just confidence numbers. Owning the REST API design between backend and frontend (and Lena's Python services). Driving operator UX decisions in partnership with product, with attention to the workflows operators run dozens of times a day. You're a fit if You have 5+ years of .NET / C# backend experience, with hands-on production work in .NET 6 or newer. You have 3+ years of React (or comparable modern framework) experience. You've shipped end-to-end features that touched both backend and frontend in the same project. You've designed and shipped production REST APIs in a distributed SaaS environment. You have hands-on production experience with AWS (preferred), Azure, or GCP. You probably aren't a fit if You're a backend-only engineer who treats the UI as someone else's problem. You're a frontend-only engineer who treats the API as a given. You haven't worked in environments where AI changes the contract between layers.. How to apply We prefer applications through our hiring site: https://build.netspeek.ai/roles/full-stack-engineer There are three paths there, and we prioritize them in this order: 1. Incident Lab / Case Study —work through a real scenario for this role and send your reasoning with the application. Read first. The scenario gives us the most signal on how you actually think. 2. Field Note —a single written take instead of the scenario. Read second. Faster than the lab, still a strong signal. 3. Standard application —resume and the basics through the site's apply form. Read third. Applying directly through Workable below also works, and we'll still read it. The site's three paths exist because they give us better context for the read. Either path is read by a human on our hiring team. No AI scoring, no auto-rejection. Read the Engineering Handbook and How We Evaluate before applying. After an offer We run standard pre-employment checks before your start date: identity verification, right-to-work confirmation, employment verification, and (where lawful and role-relevant) a criminal record check. We don't run credit checks or online reputation scoring. Requirements Must-have Strong backend engineering experience in .NET / C#, with hands-on production work in modern .NET (6+, not legacy Framework only). Frontend development experience with modern React (or comparable framework such as Next.js, Vue, or Svelte). API design experience for distributed SaaS systems; you have designed and shipped production REST APIs. Cloud-native application development with AWS preferred (Azure or GCP also welcome). Strong debugging and systems thinking. Strong signal Real-time systems or orchestration platform experience. Enterprise SaaS architecture familiarity. Exposure to AI-integrated applications (you do not need to be the AI engineer, but you should be comfortable working alongside one). Startup or scale-up environment experience. Observability and operational tooling familiarity. Benefits We are growth-stage and fully remote, not late-stage. We invest in the work, the tools, and the people, not the manifesto. What that looks like in practice: Flexible / unlimited time off Health insurance Equity participation, discussed at offer Fully remote Architectural ownership of work that ships to real enterprise customers Direct working relationships with the people setting platform strategy A growth-stage platform where the decisions you make in your first year shape the product for years AI-assisted tooling licensed by NetSpeek (Cursor, Claude Code, GitHub Copilot, or comparable)