Staff Software Engineer, Realtime Data

About this role

At Tecton, we solve the complex data problems in production machine learning. Tecton’s feature platform makes it simple to activate data for smarter models and predictions, abstracting 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.


Tecton’s Realtime Data team builds high-performance online infrastructure that power AI inference at 100K+ QPS with millisecond latency. Our services have tight SLAs on availability and latency and are often used in mission-critical applications by enterprises.


This position is open to candidates based near our hubs in San Francisco, New York City, and Seattle.


Responsibilities

• Develop and communicate a clear 18-month technical vision to align the team and guide our development efforts
• Architect and implement solutions to scale our serving platform to handle millions of requests per second with low latency and high availability
• Evolve Tecton’s query execution engine to support complex, multi-stage queries with user-defined Directed Acyclic Graphs (DAGs)
• Build an integrated observability solution that provides an exceptional operational experience with logs, metrics, and traces
• Launch our serving infrastructure across multiple cloud platforms, ensuring compliance with security protocols and data residency requirements
• Assess and prioritize tasks, demonstrating a keen awareness of...