Full-Stack Developer

Description At Lusha, we're building for builders. We build fast and AI-first, so we look for builders. By a builder, we mean someone who turns "maybe" into "done". We're looking for a Full-Stack Developer to join our squad and work on one of Lusha's core products, used by thousands of users across a large number of accounts, from enterprise companies to very small businesses.

The role covers backend infrastructure as well as a significant frontend. Our group works deep inside data, beyond the classic full-stack and backend worlds. A large part of the group's responsibility involves data. There are no domain boundaries here: you'll work on a wide range of tasks and technologies. This role is based in Tel Aviv.

We work in a hybrid model, with 3 days a week in the office. This might be for you if: You don't just take tasks. You look at the product, care about it, and suggest how to improve it When you get a task, you talk to everyone you need to and own it end to end You care about what happens after deployment: how users use what you built, how it's monitored, and what worked or didn't You work agent-first: you run multiple AI models in parallel while staying hands-on and proactive You've built or improved AI tools for your team that made real processes more efficient, beyond code review You enjoy meeting users and making an impact on a large user base

Requirements

4+ years of Full-Stack experience: You build and ship end-to-end features for production UIs, not just backend APIs. TypeScript & React Expert: Deep proficiency in TS on both client and server. Strong hands-on experience with modern React and state management (e.g., Tan. Stack Query, Zustand). AI-Native Engineering: You build software "agent-first.

" You leverage tools like Claude Code or Cursor daily, going beyond basic prompting to build MCP integrations, custom skills, and AI-driven workflows that multiply team velocity. Backend & API Architecture: Solid experience with Node.js (NestJS preferred) for building scalable microservices and robust APIs. Data & Databases: Deep understanding of SQL and PostgreSQL, including schema design and query optimization at scale.

True Production Ownership: You deploy your own code and actively use logs, monitoring, and product analytics to ensure system health and user success.

Nice to have

Building AI product interfaces, such as streaming chat UIs or rendering agent output Micro-frontends, or building and publishing shared R versioning) Databricks / Spark, or other large-scale data pipelines Temporal or other workflow orchestration Kafka in production: partitioning, consumer groups, replays Kubernetes, Docker and CI/CD Observability and analytics tools such as Coralogix and Amplitude