Senior Full Stack Engineer

 Posted an hour ago
     
5-10 years experience
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AI Summary

Lead the development of new Go Swag technology using an AI-first approach while maintaining existing client-facing and internal platforms. You will oversee system architecture, ensure database security, and contribute to both backend and frontend development across core services.

The role

This role will be one of two hires for our newly formed Core Services Team. This team is responsible for continuous support on our existing client-facing and internal platforms, tackling existing product debt, building planned new functionalities and improving overall UX to enhance customer experience, and responding swiftly to client requests and new opportunities as they arise.

In particular, they will grow and maintain:

  • Plus, our client-facing swag platform where customers can view manage inventory, manage shipments, and raise requests to move swag to their preferred location. Improvements to Plus include: granular role & permissions, better inventory management, end-to-end order tracking, ordering capabilities, stock forecasting, low inventory alerts, and more;

  • Glue, our internal platform that supports our Fulfilment team. Improvements to Glue are aimed at streamlining internal processes, especially those of our Ops team, in order to reduce overhead and make the team faster, more efficient, and less error-prone;

  • Claim Pages, our swag redemption technology used end recipients of branded gifts. Improvements to Claim Pages include: better and more granular customisation options, automation and streamlining of the creation process, improved customer experience, and more.

Main day-to-day responsibilities include, but are not limited to:

  • Lead the development of new Go Swag technology within the scope of our Core Services using an AI-first approach;

  • Contribute substantially to the development of backend solutions for Go Swag’s Core Services;

  • Lead frontend development work across all Core Services projects;

  • Use LLM-powered development tools (e.g. Claude Code, GitHub Copilot, etc.) to build new functionalities quickly and at scale, continuously pushing the boundaries of what is possible within the corporate gifting industry;

  • Foster a spirit of experimentation and innovation, encouraging rapid testing and validation of new ideas;

  • Maintain strong engineering fundamentals: oversee system architecture, ensure database security, protect sensitive data, and uphold performance and reliability standards;

  • Build scalable, maintainable, and secure software solutions across client-facing and internal systems;

  • Liaise with external development partners where needed, ensuring quality and timelines are met.

Tech stack:

  • Python

  • Django

  • FastAPI

  • PostgreSQL

  • SQLAlchemy & Alembic

  • Docker

  • HTML & CSS

  • JavaScript

Nice to have:

  • HTML / CSS

  • Basic working knowledge of frontend

Nice to have:

  • Alpine / HTMX

  • TypeScript

  • Tailwind

Who we’re looking for:

We’re looking for an experienced Full Stack Engineer with:

  • Proven experience in a senior engineering role, ideally at a high-growth company or startup;

  • Demonstrable expertise in either back-end or full-stack positions;

  • Proven experience creating impeccable and pixel-perfect UI interfaces;

  • Familiarity with code-generation LLMs such as Claude Code, GitHub Copilot, or similar tools;

  • A strong understanding of system architecture and scalable application design;

  • Strong problem-solving skills, with the ability to think creatively and pragmatically;

  • Excellent communication skills, you must be able to explain technical decisions clearly to non-technical stakeholders;

  • Ability to work independently, with a bias for action and outcomes.

Ideally, we want to onboard engineers who are excited about the seismic changes happening in software development, who don’t see AI tools as a replacement for good engineering practices, but as an opportunity to amplify creativity, productivity, and innovation. Our ideal candidate is eager to explore how humans and LLMs can collaborate to build better products, faster.

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