Software Engineer (Full-stack)

This is a hands-on generalist role where one engineer owns customer-facing features from first design through production, across both frontend and backend. A strong candidate ships quickly without cutting corners, listens closely to customer feedback, and is comfortable making product decisions alongside the founders in a small team. Depth in either React and Next.js or in distributed systems and APIs is a clear plus. How it fits the AI eraAI is part of the product itself here, so the work includes building agent systems such as sandboxes, memory retrieval, and learning loops, not just using AI tools to code. Turning fresh research into dependable features is a big part of the job. What stays human is product judgment, deciding what is worth building, and holding a high quality bar so that AI-assisted output does not turn sloppy. How it builds AI experience Someone in this role would get direct, daily experience building agentic features for security teams that run automated defense workflows, which is a demanding setting for reliability. To prepare, a candidate can build a small agent project with tool use and memory, and study how an open source automation platform handles workflows. Contributing to the open source project is a practical way to learn the codebase and show real work. Worth showing Shipped full-stack features end to end React and Next.js depth Backend and API design Agentic or LLM project experience Founder or ownership track record This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role. About Tracecat Tracecat is an open source security automation platform that lets security teams build AI agents and workflows to automate cyber defense, per the company.