Full Stack Engineer

Role overview

Responsibilities

• Own features from requirements and technical design through implementation and production.
• Build production applications with React, TypeScript, and Node.js; design and implement backend services and APIs.
• Model relational data, write efficient SQL, troubleshoot database performance, and use Redis for caching and other application use cases.
• Build asynchronous and event-driven systems using RabbitMQ, Kafka, or equivalent messaging systems.
• Consider reliability, fault tolerance, scalability, and failure scenarios when designing services.
• Debug across browser behavior, frontend, APIs, databases, queues, and production services.
• Write maintainable, testable code, participate in code reviews, and work with product managers and engineers on technical solutions.
• Use AI-assisted coding tools while maintaining ownership of design, correctness, and shipped feature quality.

Full-stack engineering requirements

• 3–5 years of professional software engineering experience.
• Strong JavaScript/TypeScript proficiency and production experience with Node.js and React.js.
• Ability to independently build production-quality React features and backend services for medium-complexity use cases.
• Good understanding of API design and client-server architecture.

Databases and distributed systems

• Understand relational databases and basic modeling, including relationships, constraints, indexes, and normalization; PostgreSQL is preferred.
• Write and debug SQL and reason about performance problems such as inefficient queries and missing indexes.
• Experience with Redis or similar caching/data-store technologies.
• Experience with message queues and event-driven systems such as RabbitMQ, Kafka, or equivalent; understand asynchronous processing and common messaging patterns.
• Working knowledge of fault tolerance, graceful failure, retries, idempotency, scalability, bottlenecks, caching, reliability, and observability.

Engineering practices

• Turn reasonably defined product requirements into technical designs and working implementations.
• Debug and solve problems across frontend and backend systems; make sensible engineering trade-offs.
• Navigate existing codebases and change multiple components; understand testing, Git-based workflows, and production engineering practices.
• Use AI coding agents to accelerate development while maintaining ownership of design, correctness, and code quality.

Preferred experience

• Kubernetes deployment or operations experience, Docker and containerized applications, or familiarity with cloud environments such as AWS.
• Production debugging with logs, metrics, traces, and monitoring tools; experience with systems at meaningful scale or high transaction volumes.

Primary stack