Staff Engineer (Technical Lead) - Full Stack (.NET, React, AWS & AI) - Remote

The Role
This is a hands-on role. 60-80% of your week is writing production code: C#/.NET on the backend, React/TypeScript on the frontend. You write the code yourself. You are the technical lead for one product area: architecture, quality bar, and mentoring. You set direction by shipping the reference implementation, not by running a meeting calendar. This is not a people-manager job. AI is part of the job, not the whole job.

We want someone who has put LLMs into real product workflows (APIs, RAG, agents, or production integrations), not a research scientist and not someone whose only AI experience is ChatGPT. What You Will Do
Ship features and fixes end-to-end in C#/.NET and React/TypeScript. You write a large share of the code in your area, including the challenging bits, not only the design. Design and implement AWS-based distributed systems: services, events, messaging, data stores, caching, CI/CD, and observability. You operate what you ship.

Own architecture for your product surface: APIs, UI, data, and cloud. Raise the quality bar by changing the code: React/TypeScript component architecture, state management, performance, testing, and API integration in a large web app. Identify where generative AI actually helps (internal tools, CMS workflows, support, agent-assisted development) and ship those integrations with production constraints: eval, cost, latency, safety, and fallbacks. Lead through architecture, code review, and mentoring, not through status meetings.

Reviews and design docs are the 20-40%, not a substitute for writing code. Unblock engineers in your area with code, a short design, and reviews so the team is not inventing parallel designs. Required Experience
Full-stack ownership. Deep C#/.NET plus strong, recent, hands-on React and TypeScript. You should be credible in both layers in a design review, not a backend engineer who "also touches CSS."
You have written and shipped production code yourself in the last 6-12 months, in both layers. We will go deep on code you wrote, not only systems you directed.

Typically 6-10 years of experience, including at least ~2 years owning complex work: architecture in an area, mentoring, and shipping without being steered through every decision. Distributed systems on AWS: APIs, event-driven services, messaging, data stores, caching, CI/CD, observability, and infrastructure. You have designed and built systems, not only consumed them. Technical lead experience in an area: architecture, code reviews, mentoring, and still writing a large share of the code. Title alone is not enough. We will ask what you personally built and who took your direction.

Advanced React/TypeScript: component architecture, state management, API integration, performance, testing, and large-scale SPA development. Hands-on production exposure to AI/ML or generative AI in at least one of: LLM APIs, model inference, RAG, vector databases/embeddings, AI agents, or shipping an AI feature used by real users or internal operators. Strongly Preferred
Multi-tenant SaaS or CMS/admin product experience. Media, OTT, or publishing domain familiarity.

A track record of introducing AI in a way that reduced cycle time or operating cost, with a clear view of failure modes (hallucination, eval, prompt/version control). Experience inheriting a large React codebase and improving it without a rewrite. Native or CTV app exposure (this role is web + backend first). CloudFormation/Terraform and a close working relationship with DevOps. This role IS a fit if.. You want most of your week in the editor. You have been the technical lead for an area, architecture and mentorship included, without becoming a people manager.

You still write production code yourself, and you have at least one AI integration you can demo, including what you would not put in production yet. This role IS NOT a fit if.. You want a people-manager job, or a role where coding is "when I have time." Also not a fit if you want to set direction across the org without shipping, an ML research role, or a frontend-only React position.