Omnifold

Infrastructure Tech Lead

San Francisco HQ · Principal

Sponsorship not specifiedDetected 133 days ago

PythonAWSCI/CDDevOpsPlatform EngineeringMachine LearningData EngineeringMLOpsCybersecurityComplianceForecastingTest Automation

About the role

What makes this job interesting: - We train a unique model for each customer, which means model training and inference work differently here than at any other company.
This is especially important as our application interface for AI-driven forecasting is unique on the market.
Unnecessary goods are manufactured, shipped, and stored.

We train a unique model for each customer, which means model training and inference work differently here than at any other company. You'll never get more reps building model training infrastructure!
Building the test infrastructure that lets us ship with confidence

Experience with cloud computing (especially GPU workloads), CI/CD infrastructure-as-code.
Familiarity with or interest in ML workflows

Python proficiency
Ideally ~10 years of experience, including startup experience, with at least 3 years in a tech lead role.
5+ years in infrastructure, DevOps, or platform engineering roles
Must have a strong Computer Science background

Data isolation between customers, product security, infrastructure hardening (SOC2 compliance and beyond)
San Francisco (in-person, 5 days per week)
Omnifold's Mission
Every bad forecast has a physical consequence.
Emergency air freight is needed for misallocated products.
Poor production planning means workers show up with nothing to do, or work frantic overtime.
Inefficiency is everywhere.
Our mission is to eliminate waste and accelerate growth for every company with physical products.
We are hiring our first infrastructure tech lead, who will own the systems that make everything else possible.

This listing is sourced directly from Omnifold's careers page and normalized into a canonical job model.