Full Stack Software Engineer; TypeScript​/Python

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world's best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.

Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

As the premier consulting partner for the private equity industry, Bain's PEG boasts a global practice that is over three times larger than any competitor. Our network of over 1,000 professionals supports private equity and institutional investor clients through every stage of the investment life cycle, from deal generation and due diligence to portfolio value creation and exit planning.

Bain & Company is developing a suite of cutting-edge data and software solutions designed to revolutionize how the private equity industry uses data for investment insights and decision-making.

The PEG Innovation team's mission is to create analytical solutions for Bain clients, teams, and the broader institutional investor space using proprietary software and data products. This includes the development, commercialization, and daily management of Bain's proprietary datasets, data, and software businesses.

Full Stack Software Engineers build, ship, and operate the end-to-end products and shared platform services that power Bain's PE due diligence platform within PEG Engineering. You work across the entire stack: responsive React and Svelte frontends styled with Tailwind, Node.js (Type Script, Express) and Python (FastAPI) backend services, RESTful and type-safe APIs, PostgreSQL data models, and the scheduled and event-driven jobs that keep data flowing.

Our environment is deliberately polyglot and fast-moving, and we expect this engineer to be comfortable moving across languages, frameworks, and layers rather than staying in one lane.

A significant portion of this work is AI-enabled: integrating LLMs and agentic patterns into real analyst workflows through retrieval pipelines, structured outputs, streaming interfaces, and human-in-the-loop review. We weight strong engineering fundamentals as the foundation and treat AI as a reviewed co-pilot, not an autopilot. This is an engineering role in the full sense, we expect you to understand the problem, weigh approaches, and own the design and the outcome, not only produce code.

AI accelerates the implementation, the engineering judgement behind it stays with you. Every AI-assisted change is expected to be understood, validated, and owned by the engineer who commits it.

You are expected to deliver production-quality code, write tests for the workflows you build, own features end-to-end, and partner with Product and Design to turn requirements into reliable user experiences. Engineers operate with increasing independence and breadth across the grade: earlier in the grade with guidance from senior engineers on the most complex or ambiguous work, and toward the upper end owning delivery independently, leading implementation of features, and providing technical guidance to peers and more junior engineers.

Most of our systems run on Microsoft Azure, with some workloads on AWS. You collaborate with Platform Engineering for shared services such as Auth/RBAC, Audit, Notifications, and File handling, and with the AI teams to integrate intelligent features…