Senior Full-StackEngineer.

Indio builds its own AI and large-scale data products for the energy industry. We don't do client work: our engineers build Indio's products, working directly with the people who use them and alongside our data science team, and what we build goes to production.

We keep the team small and the bar very high. If you're the engineer other engineers go to, we'd like to hear from you. Parts of our work are confidential; we share more in interviews.

You'll build complete features of our products, from the interface to the API to the data model. You'll turn our data science team's models and our core algorithms into fast, reliable tools that people use every day, working directly with the people who depend on them.

• —Build data-heavy web apps end to end: large interactive tables, charts, and graph and map views
• —Design typed APIs, background jobs and data models in Python and SQL
• —Bring machine learning and language-model features into production workflows
• —Leave tests, docs and monitoring behind, so the next engineer can change your code without a walkthrough

• —Typed end to end, from the data model to the interface
• —Performance-critical algorithms in a compiled core, with product services around them
• —Models and features measured before they ship, and monitored after
• —Tests, reviews and documentation as part of the work, not an afterthought

• —6+ years shipping production web apps, including 3+ years responsible for features across the UI and the API
• —Strong TypeScript and React, including server and client rendering and data fetching
• —Strong Python for web services: typed schemas, async I/O, authentication and background jobs
• —Relational data modeling and migrations you can defend
• —Experience with multi-service systems (services talking over HTTP, caches, queues and workers), not only a single monolith
• —Tests as a habit, on the backend and the frontend, not "we'll add them later"
• —Clear written communication

• —Graph databases, or non-trivial graph interfaces such as trees and canvases
• —A major cloud platform in production
• —Complex data interfaces: large grids, maps, document viewers and rich-text editing
• —Real-time features
• —Language-model features such as retrieval, embeddings and tool-using assistants (you don't need to be an ML engineer)
• —Interactive time-series charts and analytical views over large tables

Geospatial data, advanced chart interactions, design systems, metrics and monitoring.

Apply with your resume, a GitHub or portfolio link and a short note on a messy production problem you solved across the UI and the API.