INFRASTRUCTURE ENGINEER

Build the systems AI actually depends on.

Most AI products get all the attention at the model layer.

The harder problem is underneath it.

How do you securely turn decades of messy, proprietary enterprise data into something AI can actually use — without losing context, trust, or control?

That’s the problem this team is solving.

They’re a fast-growing Series A AI company working with sophisticated financial institutions, and demand is already moving faster than the engineering team can support.

They need more builders.

WHAT YOU’LL BUILD

This role can lean one of two ways:

Cloud Infrastructure

Build and scale secure deployments across AWS, GCP, and Azure. Think Kubernetes, private cloud / BYOC, observability, infrastructure-as-code, security, and multi-cloud orchestration.

Data Infrastructure

Build the systems that ingest and normalize large volumes of structured and unstructured data — and make it usable by AI in real time.

Either way, this is not a keep-the-lights-on infrastructure job.

You’ll be building foundational systems from the ground up.

YOU’LL PROBABLY LIKE THIS IF...

You’ve worked somewhere where the engineering bar was legitimately high.

You’ve owned systems instead of just contributing tickets.

You care about infrastructure because the product fails without it.

You want an early-stage environment with real ownership and ambiguity.

And you want the thing you’re building to solve meaningful, difficult problems — not just become another SaaS dashboard.

THE SIGNAL WE CARE ABOUT

We’re less interested in checking every technology box than seeing evidence that you can operate at a very high level.

Strong signals include:Deep AWS, GCP, or Azure experience
Kubernetes / containers at meaningful scale
Cloud platform or data infrastructure ownership
Complex ingestion / real-time data systems
Security-first architecture
ML / AI infrastructure exposure
Early-stage or 0→1 experience
Fast career progression and expanding scope

Experience in demanding, high-ownership engineering environments will stand out.

We care more about the bar you operated at and what you personally built than matching a perfect logo list.

WHY THIS ONE IS DIFFERENT

The company is still early.

But the market demand is real.

Customers are showing up faster than the current engineering team can support them.

So the opportunity here isn’t:

Join and optimize something that’s already finished.

It’s:

Help decide how the foundation gets built.

If you’re wired for that kind of work, we’d love to talk.

$150K–$300K base + equity

San Francisco or New York City — onsite

Visa sponsorship / transfers available

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