Context Data Infrastructure Engineer Jobs in San Francisco, CA

You'll build the foundation the whole product reasons over: the search and data infrastructure behind that context.

You'll work closely with our product and engineering teams to transform raw financial data into actionable insights that help our customers get paid faster.

Experience developing reference designs or new infrastructure architectures within a hyperscaler, data center operator, advanced engineering organization

, infrastructure health, resource utilization, and engineering efficiency.

About the Role We’re looking for an infrastructure engineer to own and evolve the security infrastructure that underpins our foundation models

You will also collaborate with machine learning engineers and data engineers on the ML compute platform and data pipeline infrastructure.

Infrastructure Engineer Greptile is an AI code reviewer that catches bugs and anti-patterns in pull requests with complete context of

You understand the trade-offs of different storage engines, query plans, and data serialization formats.

This is a strong fit for an engineer who enjoys cloud infrastructure, networking, infrastructure as code, and solving real-world

As a Support Engineer, AI Infrastructure & Tooling on this team, you'll be the technical execution layer that brings our support tools, customer and account

Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch

We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization.

Define the problems to solve and provide as much context as you can without dictating the technical solution so that engineering can build against it.

We're looking for someone who's been a great data scientist, analytics engineer, or data engineer: the kind of person who knows which metric actually matters