Software Engineer, Data Infrastructure (SF, NYC, Remote)

At Tecton, we are on a mission to bring world-class Machine Learning to every product and customer experience. Tecton’s founders developed the first Feature Platform when they created Uber’s Michelangelo ML platform. In pursuit of bringing ML to every production application, we have since brought the leading commercial feature store to market and built the most popular open-source feature platform.

We are funded by Sequoia Capital and Andreessen Horowitz and have a fast-growing team that works out of SF, NYC, and remotely. Our team has extensive years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Facebook, Airbnb, Twitter, and Quora, and we’re now bringing those same capabilities to every organization in the world.

Tecton's ability to scale and process high volumes of data while being performant and resilient to failures is a key component of the product and central to design decisions. Our team’s data culture is driven by engineers who have worked on major projects such as Google Search and Indexing, Apache Airflow, and Instagram's ML platform.

As an early member of Tecton's Data Infrastructure team, you will help lay the foundation for scaling Tecton. We are looking for exceptional software engineers with a systematic problem-solving approach who are driven to find simple solutions to complex challenges.

#LI-Remote

Tecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national original, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics.  If you would like to request any accommodations from application through to interview, please contact us at recruitingteam@tecton.ai