Senior Site Reliability Engineer

Senior Cloud Infrastructure Engineer

Location:

San Francisco, CA (On‑site only) — must live within commuting distance or be willing to relocate.

Compensation: $175,000 – $250,000 per year (Salaried W2 Full‑Time).

We are a pioneering open source technology company transforming how creators interact with generative AI. Our node‑based visual interface enables artists, developers, and innovators to design, control, and customize AI workflows with complete flexibility.

You will lead the design, deployment, and maintenance of large‑scale distributed systems that power AI workloads. Collaborate closely with core engineers to shape the company’s long‑term infrastructure vision while ensuring scalability, performance, and reliability across environments.

• Design, build, and maintain the core infrastructure that powers AI workloads at scale.
• Manage and automate GPU compute clusters using tools such as Python, Kubernetes, Terraform, and Ansible.
• Architect and operate systems for orchestration, observability, distributed storage, and networking.
• Ensure reliability, scalability, and performance across production environments.
• Collaborate closely with core engineers to design infrastructure for new features and systems.
• Contribute to technical strategy and long‑term infrastructure vision.
• Drive best practices for infrastructure automation, deployment, and monitoring.

• 5+ years experience as an Infrastructure Engineer or Site Reliability Engineer building and operating large‑scale distributed systems.
• Skilled in Python and comfortable working with infrastructure‑as‑code tools such as Terraform and Ansible.
• Familiar with container orchestration systems such as Kubernetes and related tooling like FluxCD, Prometheus, and Grafana.
• Capable of managing high‑performance GPU environments across cloud and bare metal setups.
• Highly adaptable, resourceful, and motivated by building things from the ground up.
• Excited to work in a small, fast‑growing team where autonomy and accountability are key.
• Comfortable working on‑site in a startup setting where collaboration and speed matter most.

• Experience contributing to or maintaining open‑source projects.
• Background working with AI infrastructure, ML pipelines, or GPU orchestration.
• Strong computer science fundamentals and ability to work across different programming languages or frameworks.

fluxcd, ansible, kubernetes, grafana, prometheus, python, terraform, infrastructure.