Senior Software Engineer

Here’s what we expect from you

• Expertly develop robust back-end and front-end code and have a solid understanding of different levels of automated testing to deliver reliable, well-tested features

• Have a working knowledge of the infrastructure applications run on and can reason about how a feature deploys, scales, and operates in production

• Drive the technical direction at the feature level, breaking down ambiguous problems, managing tasks effectively, and unblocking other engineers

• Advocate for modular, maintainable architecture and a robust testing culture, strategically balancing test coverage, risk, and budget

• Work fluently with AI-assisted coding and agentic development tools to move faster while holding their output to a quality bar

• Establish healthy team norms around AI use, modeling critical evaluation of its output and communicating clearly about where it has shaped a deliverable

• Continuously evaluate emerging technologies (including AI), capabilities, and limitations to identify new opportunities for TXI and their clients

• Understand the client's business, build relationships with our clients, and guide strategic decisions to make them successful

• Take ownership of the client relationship on straightforward projects, and build towards leading it on complex, politically nuanced accounts

• Communicate professionally and empathetically, solicit and provide feedback, actively offer help, and make sure everyone is aligned

• Work collaboratively on a cross-functional team of engineers, designers, and delivery managers

• Develop proof-of-concept prototypes and demos that showcase technical possibilities and help clients envision transformative solutions

• Take responsibility (even when no one asks) and learn from everyone, no matter what their title is


Our Tech Stack

• Back-end: We primarily create applications in Python and Node.js (TypeScript),

• Front-end: We generally use React, although some of our clients might use Vue.js. 

• Infrastructure: Our clients' infrastructure might be in either AWS, GCP or Azure, managed by Terraform or another IaC tool. We deploy containerized applications using Docker.

• AI-assisted development: We expect senior engineers to work fluently with AI coding assistants and agentic tooling as part of their everyday workflow, and to help the engineering practice mature how it adopts these tools.