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Software Engineer, Platform

Tecton

Saas

51-200

San Francisco, CA, USA

About the job

Overview:

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 staff-level engineer building Tecton platform team, you’ll play a critical role in architecting, designing, and scaling our Tecton’s platform-level building blocks for building the next generation of accessible ML infrastructure.
As part of this team, you will be working in one or more of the following areas to build the next generation of Tecton infrastructure:

Architecting APIs and abstractions over multiple cloud, storage, and compute platforms
Building platforms that enable modular development and testing
Transitioning Tecton’s control plane toward a multi-tenant architecture
Explainability and debugging as a first-class property of every layer of the stack
Fleet management and optimizations for hundreds (and eventually thousands) of Tecton deployments
Partnering with Security on org-wide data privacy and security measures

Responsibilities

Own and lead large technical domains starting from the problem definition and technical requirements along with implementation and maintenance
Lead multi-engineer projects of strategic importance to Tecton spanning cross-functional teams including design, product management, and other engineering teams
Drive efforts to improve engineering practices, tooling, and processes along with mentorship for senior engineers
Develop a deep understanding of the fundamental problems our customers face in building ML systems
Be a generalist as needed. We’re a small, but growing engineering team and each engineer needs to be versatile
Reinforce Tecton’s “Fast, but Focused” core value

Qualifications and Values

7+ years of experience in building product software systems
2+ years of technical leadership experience for a group of engineers
Experience working in large Python, Java, Kotlin, or Go codebases and running cloud-native production systems using Kubernetes, AWS, and Docker
Experience with distributed systems, SQL, and NoSQL databases
Bias to action and passion for delivering high-quality solutions
Strong communication and ability to write detailed technical specifications
Excitement about coaching and mentorship of junior engineers
BSc, MS, or PhD in Computer Science or related fields