Member of Technical Staff, Release Engineering

Mixpeek; San Francisco (CA); On-site; USD 180,000 - 220,000; Full time

Benefits offered by this job

GPU compute

Open-source experience

Familiarity with ComfyUI

Job summary

Comfy in San Francisco is seeking a Platform Engineer to build CI for an AI-enabled team and orchestrate releases across many repositories. You’ll design cross-repo release processes and deliver episodic environments that let a fast-moving team test changes before merging.

You’ll focus on reliability and speed, injecting tests into release pipelines, and providing self-serve infrastructure for internal creatives. A startup mindset and strong GitOps practices are essential.

Qualifications

• Experience running Kubernetes and ArgoCD in production.
• Built CI/CD for complex multi-service systems with multiple teams depending on it.
• Strong focus on reliability of software delivery systems and empathy for developers.

Responsibilities

• Build CI for an AI-enabled team.
• Orchestrate releases across many repos.
• Integrate release processes across teams to ship in sync.
• Provide episodic environments per PR for testing before merges.
• Inject test suites into release processes to ensure quality at speed.

Skills

Kubernetes

ArgoCD

CI/CD

Multi-service systems

Reliability

Job description

The Role

Comfy ships multiple products across many repositories and services. Increasingly, our code isn't written by hand - it's written by agents, and our job is to keep up with what they produce. Our goal is continuous delivery: not removing humans from the loop, but removing the friction around them - so releases stop being a scheduled event and human judgment is spent on the decisions that matter, not on shepherding the pipeline.

This is not an infrastructure role in the traditional sense. You won't own the production infrastructure our software runs on. You'll build the systems above it: the CI, cross-repo release orchestration, and episodic environments that let a fast-moving, AI-enabled team ship connected software with confidence. As code throughput accelerates, the delivery system becomes the bottleneck. Making sure it never is - that's your mandate.

What you'll do

• Build CI for an AI-enabled team. Build continuous integration systems that unlock development velocity for a team producing sharply accelerated code throughput.




• Orchestrate releases across many repos. Design release processes that coordinate software delivery across multiple repositories in a multi-service backend, keeping our connected components continuously integrated.




• Integrate release processes across teams. Bring multiple teams' release processes together so our connected software components ship in lockstep rather than drifting out of sync.




• Give humans and agents somewhere to test. Provide episodic environments that spin up per PR, so people - and the agents writing our code - can test changes against a real, isolated deployment before anything merges.




• Make quality part of the pipeline, not a meeting. Work with QA and development to inject test suites into release processes, so we ship quality at speed instead of trading one for the other.




• Platform our creatives. Provide self-serve infrastructure for internal creatives to test and generate with cutting-edge models.

You might be a good fit if you

• Have run Kubernetes and ArgoCD in production, and manage infrastructure through code.




• Have built CI/CD for complex multi-service systems, providing a solution that multiple teams depend on.




• Care about the reliability of software delivery systems, and have strong empathy for developers and internal teams who want to move fast on systems that just work.




• Have strong opinions on the future of agentic coding - and have thought about the systems needed to handle the accelerated code throughput it produces.




• Have a startup mindset: you thrive in fast-moving environments, take ownership, and love solving problems at scale.

Bonus if you have

• Provisioned and managed GPU-based compute.




• Worked on an open-source project.




• Familiarity with ComfyUI.

What this role is not

• A QA engineer writing tests and test suites.




• An SRE or on-call owner for our products once they're live. You build and own the road to production - CI, releases, test environments - not the systems that keep shipped products running.




• We already run CI, Kubernetes, and ArgoCD today. That's the floor, not the job.

Compensation

Location: San Francisco

Compensation: [$180,000-$220,000] + Equity + Benefits

About Comfy

Comfy (https://www.comfy.org) is the AI creation engine for visual professionals who demand control over every model, every parameter, and every output. The most powerful workflow engine for visual AI.

Unlike tools that hide everything behind a prompt box, Comfy lets you connect models, processing steps, and outputs on a canvas where every decision is visible and every step is inspectable. It gives you the building blocks to create workflows nobody's imagined yet, and share them with everyone.

What started as an open-source project in 2023 now has 4 million users, 60,000+ community-built nodes, and 150,000+ daily downloads. It's used by artists, filmmakers, game studios, designers, researchers, and VFX houses, including teams at OpenAI, Netflix, Amazon Studios, Ubisoft, EA, and Tencent.

We're a small, intense team in San Francisco. Our team comes from Stability AI and Google, and many contributed to the ComfyUI ecosystem long before working here. Low ego, high ownership. We work hard and demand a lot of each other, but we have fun. Everyone here is building something meaningful that will end up being our life's work.

If this mission excites you and you view yourself as top-tier talent, your future latent self is waiting for you at Comfy.

Check out our Github and blog. We recently raised $30M at a $500M valuation. The round was led by Craft, with participation from Pace Capital, Chemistry, TruArrow, and others.