Full Stack Engineer Lead
Listed on 2026-07-13
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Software Development
Backend Developer, Full Stack Developer, Software Architect, AI Engineer (Applied/Software)
About POS
360
We are a rapidly growing technology company specializing in point-of-sale payment processing and delivery integrations for locally owned brick-and-mortar stores. Our mission is to accelerate the transition from traditional electronic cash registers to powerful new point of sale products. Our highly specialized systems address the specific pain points identified through over a decade of working with neighborhood stores, markets, and restaurants.
With an unrivaled dedication to delivering superior tools that are easy to use and a technical team providing industry-leading support, our systems open the door to the next level of success for our clients.
The Role
We are looking for an experienced Full Stack Engineer Lead to guide the design, development, and delivery of our web applications end to end, while mentoring engineers and setting technical direction across the front-end and back-end stack.
This role blends hands‑on engineering with technical leadership; you’ll architect scalable systems, drive engineering best practices, and partner closely with product and design to ship high‑quality software. You’ll also help shape how the team leverages AI‑augmented development workflows, coding assistants, and agentic tooling to accelerate delivery.
What You’ll Own & Drive Technical Leadership & Direction- Lead the architecture, design, and development of full stack applications spanning front‑end (React/Type Script) and back‑end (Node.js, NestJS, Type Script) systems.
- Set technical direction and establish engineering standards, coding practices, and architectural patterns across the team.
- Mentor and provide technical guidance to engineers, conducting code reviews and fostering growth in both frontend and backend disciplines.
- Own technical project planning, breaking down initiatives into milestones, estimating effort, and coordinating delivery with product managers and stakeholders.
- Evaluate build versus buy decisions, new technologies, and third‑party services, and make recommendations to leadership.
- Collaborate cross‑functionally with product, design, QA, and other engineering teams to deliver cohesive, high‑quality features.
- Participate in on‑call rotation and troubleshoot complex production issues across the stack.
- Design and oversee scalable, secure, and performant systems, including microservices, RESTful and GraphQL APIs, and database architecture (SQL and MongoDB).
- Ensure system reliability, scalability, and observability through sound Dev Ops, CI/CD, testing, and monitoring practices.
- Drive adoption of AI coding assistants and agentic development tools (e.g., Claude AI, Git Hub Copilot, Cursor) to improve team velocity and code quality.
- Champion integration of AI‑powered features, LLM‑backed endpoints, and agentic workflows (tool use, retrieval‑augmented generation, multi‑step orchestration) where they deliver clear business value.
- 7+ years of professional software engineering experience, including full stack development across modern front‑end and back‑end technologies.
- 2+ years in a technical lead, staff engineer, or engineering management capacity, with demonstrated ability to mentor engineers and drive technical decisions.
- Strong proficiency in React and Type Script on the front end, and Node.js/NestJS on the back end.
- Deep understanding of system design, microservices architecture, and both object‑oriented and functional programming paradigms.
- Hands‑on experience with SQL and MongoDB, including schema design, query optimization, and data modeling.
- Proven experience designing and managing REST and GraphQL APIs at scale.
- Working knowledge of cloud infrastructure (AWS preferred), CI/CD pipelines, and containerization (Docker/Kubernetes).
- Hands‑on experience using AI coding assistants (Claude AI, ChatGPT, Git Hub Copilot, Cursor, or similar) as part of day‑to‑day development.
- Exposure to integrating LLMs and agentic frameworks into production systems — e.g., Anthropic Claude API, OpenAI API, function/tool calling, MCP (Model Context Protocol), Lang Chain, or similar is a strong plus.
- Familiarity with JIRA and Confluence for…
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