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Infrastructure Tech Lead

Omnifold

San Francisco, CAFull-time$95–225K/yrPosted 6mo agoStill listed 3 days ago

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At a glance

Compensation
$95–225K/yr
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

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Job overview

Omnifold is hiring an Infrastructure Tech Lead. Omnifold is hiring its first infrastructure tech lead to own systems that enable custom AI model training and inference, ensuring reliable deployment, security, cloud resource management, monitoring, data and ML ops, and automated testing for a fast‑iteration forecasting platform.

Key focus areas include Deploy reliable processes for getting models and services into production, Implement security measures including data isolation, product security, and infrastructure hardening, and Manage cloud resources such as GPU allocation, instance sizing, and cost optimization.

Successful candidates bring 5+ Years Infrastructure, DevOps, Or Platform Engineering Roles and Strong Computer Science Background. Important skills include Cloud Computing, GPU Workloads, CI/CD Infrastructure-as-Code, AWS, Security Fundamentals, and Cryptography. Preferred (not required): ML Workflows.

Skills & qualifications

RequiredNice to have

Skills

Cloud ComputingGPU WorkloadsCI/CD Infrastructure-as-CodeAWSSecurity FundamentalsCryptographyAccess ControlsCompliance BasicsPython ProficiencyML Workflows

Qualifications

5+ Years Infrastructure, DevOps, or Platform Engineering RolesStrong Computer Science Background10 Years ExperienceStartup Experience3 Years Tech Lead Experience

Full job description

Infrastructure Tech Lead / Principal Engineer Omnifold trains custom AI models that help planners forecast the future. We are hiring our first infrastructure tech lead, who will own the systems that make everything else possible.

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. You’ll never get more reps building model training infrastructure!

  • Our team has very fast iteration speed but needs robust monitoring to pick up signal on user patterns. This is especially important as our application interface for AI-driven forecasting is unique on the market.

What you’ll own

  • Deployment: Reliable processes for getting models and services into production

  • Security: Data isolation between customers, product security, infrastructure hardening (SOC2 compliance and beyond)

  • Cloud resource management: GPU allocation, instance sizing, cost optimization

  • Monitoring and logging: Visibility into what's running, what's failing, and why

  • Data and ML ops: ETL pipelines from varied customer data sources, model versioning and lifecycle management

  • Automated testing: Building the test infrastructure that lets us ship with confidence

What we’re looking for

  • Experience with cloud computing (especially GPU workloads), CI/CD infrastructure-as-code. We run on AWS

  • Familiarity with or interest in ML workflows

  • Security fundamentals: encryption, access controls, compliance basics

  • 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

Location: San Francisco (in-person, 5 days per week)

Omnifold’s Mission

Every bad forecast has a physical consequence. Unnecessary goods are manufactured, shipped, and stored. 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.

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