About Tecton

Founded by the team that created the Uber Michelangelo platform, Tecton provides an enterprise-ready feature platform to make world-class #machinelearning accessible to every company.

Machine learning creates new opportunities to generate more value than ever before from data. Companies can now build ML-driven applications to automate decisions at machine speed, deliver magical customer experiences, and re-invent business processes.

But ML models will only ever be as good as the data that is fed to them. Today, it’s incredibly hard to build and manage ML data. Most companies don’t have access to the advanced ML data infrastructure that is used by the Internet giants. So ML teams spend the majority of their time building custom features and bespoke data pipelines, and most models never make it to production.

We believe that companies need a new kind of data platform built for the unique requirements of ML. Our goal is to enable ML teams to build great features, serve them to production quickly and reliably, and do it at scale. By getting the data layer for ML right, companies can get better models to production faster to drive real business outcomes.

At Tecton , we solve the complex data problem in production machine learning. Tecton’s feature platform makes it simple to activate data for smarter models and predictions. Tecton abstracts away the complex engineering to speed up innovation.

Tecton’s founders developed the first Feature Store when they created Uber’s Michelangelo ML platform, and we’re now bringing those same capabilities to every organization in the world.

Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.

As a member of Tecton’s Infrastructure Engineering DevOps team, you will contribute to and own 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 Infrastructure 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.

Specialties
Machine Learning, Data Science, Feature Store, Data Engineering, Artificial Intelligence , Big Data, MLOps, DevOps, and Data Platform