DevOps Engineer

About the role

WHY FLUX

Flux is taking the hard out of hardware. To do this, we’re building the world's first AI hardware engineer. Founded in 2019, our platform enables anyone to go from idea to manufacturable board using nothing more than a natural language prompt. This democratizes a process that has historically required years of specialized expertise.

We're going after a $15B+ electronic design automation market, backed by 8VC, Bain Capital Ventures, Liquid 2 Ventures, Outsiders Fund, Figma board member John Lilly, and GitHub founder Tom Preston-Werner. In February 2026, we closed a total of $37M in funding to accelerate that mission.

What happens when we unlock the ability for anyone to make hardware? We fundamentally reshape the world. That's our mission, and we're just getting started.

THE ROLE

Flux is building the world’s first AI Hardware Engineer, and that means everything around it has to just work.

As a DevOps Engineer, you’ll work on the full-stack systems that power Flux’s platform experience beyond the editor: billing, authentication, onboarding, and integrations.

You’ll ship production features that touch every user, keep the lights on, and make it possible for Flux to scale.

WHAT YOU’LL DO

- Improve the reliability, availability, and operational health of production systems.

- Set observability standards across services (metrics, logs, errors).

- Set SLOs/SLIs, alerting, and on-call readiness with a focus on signal quality.

- Partner with engineers to design resilient systems and reduce operational risk early.

- Build internal tooling that improves system safety, debugging, and developer velocity.

- Manage infrastructure via Pulumi across GCP, AWS, and Firebase.

WHAT YOU’LL BRING

- 5+ years SRE, DevOps, or production operations experience.

- Proven experience operating and scaling production systems with uptime and latency goals.

- Strong hands-on experience with observability stacks (Datadog, Sentry, or similar).

- Experience defining SLOs/SLIs and building effective alerting strategies.

- Proficiency with CI/CD systems and infrastructure-as-code.

- Experience with cloud-native and serverless platforms (GCP, AWS).

- Strong cross-system debugging and incident response skills.

PREFERRED QUALIFICATIONS

- Experience with multi-product distributed cloud tracing (stitching together Datadog, Sentry, GCP tracing).

- Familiarity with containerized and serverless workloads (Cloud Run, Firebase, Lambda).

- Experience with TypeScript, Node.js, and React, or the ability and desire to learn.

- Background supporting AI-powered systems or high-variance workloads.

- Startup experience or ownership of systems through rapid growth.

PROFILE