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 Store 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 store.
We are funded by Kleiner Perkins, Sequoia Capital, and Andreessen Horowitz and have a fast-growing team that works out of SF, NYC, and remotely. Our team has 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.
The Platform Engineering team is focused on building the foundation for a reliable, high-performance, and scalable feature platform. We are a team of experienced software and DevOps engineers that are well-versed with deep infrastructure knowledge and have a knack for building quality systems that deliver on our customer’s performance goals. We have a deep understanding of many different storage and computing technologies and are always searching for opportunities to drive higher performance and lower latencies and costs. Delivering a production platform to power each of our customers' machine learning environments is a deeply complex challenge that excites each and every one of us.
As a critical member of Tecton's fast-growing engineering team, you will help lay the foundation for scaling Tecton to the next generation of customers.
As an early member of Tecton’s Platform Engineering DevOps team, you will help lay the foundation for building, automating, and scaling Tecton. You will leverage your experience with cloud architectures, distributed systems, containerization technologies (Kubernetes), and Linux system internals to design, build, and maintain our multi-cloud deployments, ensure our systems are secure in-depth, and work closely with the rest of Tecton’s Platform Engineering team to scale and optimize our core compute and online serving systems.
Prior experience with machine learning is not required. We are looking for exceptional DevOps, infrastructure, and software engineers who are driven to find simple solutions to complex challenges. You'll be at the intersection of design, engineering, and operational processes.
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
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