Lead AI Software Engineer

Finite State

11d•$220,000 - $290,000•Remote

About The Position

Finite State partners with product security teams, the guardians of our connected world, to create transparency for their connected devices and supply chains. Our platform handles connected devices and embedded systems across all industries, including those found in enterprises, healthcare, utilities, connected vehicles, manufacturing facilities, critical infrastructure, and government entities. We are a fast-growing series-B company with a fully distributed workforce. Led by a team of seasoned experts, we are a mission-driven team passionate about arming our customers with the actionable insights, critical vulnerability data, and remediation guidance necessary to mitigate product risk and protect the connected attack surface. We are committed to a remote first culture. We’re looking for a Lead Full-Stack Software Engineer with deep expertise in Next.js, TypeScript, PostgreSQL/Supabase, and AI-assisted development to design, build, and deliver the scalable, secure systems behind our cybersecurity platform. This is a hands-on, product-focused role for an engineer who: Thrives at the intersection of secure software engineering, data-heavy systems, and product innovation Is fluent in AI tooling (Cursor, Devin, Copilot, etc.) and knows how to turn them into real velocity — not toys Can design full-stack solutions, think strategically about risk and performance, and help us move business logic closer to the data layer (Postgres + Supabase)

Requirements

Lead Full-Stack Engineer with experience building and shipping production web apps using Next.js/React, TypeScript, PostgreSQL, and a Node-based backend
AI-native developer who regularly uses AI-assisted dev tools (e.g., Cursor, Copilot, Devin) to move faster, improve code quality, and explore design options, and knows when to verify output
Strong backend and data modeling skills in Postgres; experience with Supabase (Auth, RLS, Edge Functions, migrations) or similar Postgres-based platforms is a plus
Security-conscious engineer with a solid understanding of secure web application development, authentication/authorization, and modern security best practices; familiarity with software supply chain security or interest in learning quickly
Experience deploying and operating applications in the cloud (ideally AWS), with working knowledge of Docker, CI/CD, and modern managed or serverless platforms
Product-minded and collaborative, balancing technical rigor with user and business needs, caring about testing and maintainability, and communicating clearly in a remote, cross-functional team

Nice To Haves

familiarity with software supply chain security or interest in learning quickly

Responsibilities

Build and maintain secure, scalable web applications using Next.js/React, TypeScript, and Node – backed by PostgreSQL on Supabase (and AWS RDS during migration). Own features end-to-end from UI to database.
Design and implement business logic close to the data using Postgres functions, views, triggers, Row-Level Security (RLS), and Supabase Edge Functions, minimizing unnecessary middleware and enabling high performance and strong data isolation.
Treat tools like Cursor, Devin, GitHub Copilot, and agent frameworks as core parts of your workflow. You'll use them to scaffold and refactor full-stack features, generate and evolve schemas, migrations, and RLS policies and build internal agents that automate repetitive engineering tasks and glue systems together
Embed security best practices into every layer of development — from secure coding and dependency management to data protection and authentication/authorization (Supabase Auth, OAuth2/OIDC, SSO). Collaborate with security researchers to ensure features align with threat models.
Work hand-in-hand with product managers and designers to translate customer pain points into impactful, intuitive features. Participate in product discovery and help shape roadmaps with a strong technical and data-informed perspective.
Design and optimize API contracts, edge endpoints, and event flows using Next.js (server components, API routes) and Supabase (Edge Functions, real-time). Consider performance, resiliency, and multi-region deployment (read replicas, data partitioning) as first-class concerns.
Model and optimize relational data in PostgreSQL for large, multi-tenant workloads. Own indexing strategies, query performance, and data partitioning approaches to support 10x–30x growth in customers and data.
Support automated testing, CI/CD pipelines, database migrations, and vulnerability scanning throughout the development lifecycle. Work closely with infrastructure engineers on Supabase + AWS environments, observability, and performance tuning.
Provide guidance and thoughtful code reviews to peers, fostering a culture of quality, security, and ownership. Help raise the bar on full-stack, data-centric, and AI-native engineering practices.
Stay ahead of trends in AI-assisted engineering, agentic systems, application security, Next.js, and modern Postgres/Supabase practices, and share what you learn with the team.