Senior Software Engineer Full-Stack

Key Responsibilities:

• Build substantial, interactive features inside an existing enterprise product, without disrupting the workflows they sit within.
• Implement data visualisations (line charts, comparison tables, range indicators) where the visual encoding carries real meaning and small inaccuracies mislead users.
• Build filtering and comparison controls that update complex views in real time.
• Implement every state the feature can be in: loading, error, empty, and the cases where there is insufficient data to show a comparison at all. These matter as much as the primary path.
• Build and extend Ruby on Rails APIs, consume APIs built by the architecture team, and push back early when a contract does not serve the interface well.
• Work closely with design, matching intent precisely and raising discrepancies rather than approximating.
• Make sure features load asynchronously and never block or slow the workflows they are embedded in.
• Build for accessibility and cross-browser consistency.
• Instrument features so the team can measure how they are actually used.
• Write tests that cover behaviour, including the degraded cases.

Required Skills:

• 6+ years building production web applications, with significant frontend ownership and hands-on backend development.
• Strong backend experience with Ruby on Rails: building and modifying APIs, data models, and services, not only consuming them.
• Strong proficiency with a modern JavaScript framework (React, Angular, or Vue) and solid JavaScript/TypeScript fundamentals, including a real understanding of rendering and state management, not just framework APIs.
• Experience building data-dense interfaces: charts, tables, dashboards, or comparison views where accuracy of presentation matters.
• Experience working inside large existing codebases: reading unfamiliar code, following established conventions, and avoiding regressions.

 

• Demonstrable care for edge cases, empty states, and error handling, backed by automated tests (e.g., RSpec and frontend testing frameworks).
• Strong collaboration with designers and product managers; asks clarifying questions before building.
• Working proficiency with AI coding tools (e.g., Claude, GitHub Copilot) to accelerate development, debugging, and test writing, with the judgment to review and validate AI-generated code before it ships.