Remote job
Engineering Lead
Job details
About this role
Role overview Lead a software team while remaining deeply involved in building and shipping production systems. You’ll own technical direction and delivery for a client, contribute substantial TypeScript code across the application stack, and support engineers through hiring, feedback and growth. The work centers on modern SaaS products using React, Next.js, Node.js and Supabase.
Responsibilities - Deliver features end to end, from user interface through APIs and database, and tackle the most complex engineering work. - Design data models, services, authentication, APIs and background jobs, making sound system trade-offs. - Build and operate production applications using Supabase, including Postgres, Row-Level Security, authentication, Edge Functions, Realtime and Storage. - Recruit, onboard and develop engineers; plan work, manage client scope and hold regular one-to-ones. - Set standards for code review, testing, releases and AI-assisted development, and serve as the main technical client contact.
Requirements - Five or more years of professional software engineering, primarily in TypeScript. - At least two years leading engineers, including hiring, performance conversations and people development. - Production-level React or Next.js and Node.js experience, with ongoing hands-on coding. - Experience designing services, schemas and APIs for real users, plus production Supabase experience including Postgres schema design and Row-Level Security. - Strong problem-solving skills, composure in difficult projects and sound judgment reviewing AI-generated code. - Clear written and spoken English for client leadership.
Nice to have Experience growing a team from zero to five or more, rolling out AI coding agents, working with distributed-system components such as queues and caching, or delivering for multiple clients. Prior work with US clients or remote teams is also useful.
Benefits and work setup The job is fully remote, with a USD-pegged salary, paid subscriptions for AI coding tools, ownership of a team and input into hiring and engineering practices. The work involves US SaaS products, with annual performance-based reviews.