Senior Site Reliability Engineer

The Recruiting Guy; Arlington (VA); On-site; USD 175,000 - 250,000; Full time

Job summary

A pioneering open source technology company is seeking a Senior Cloud Infrastructure Engineer to design, maintain, and optimize large-scale systems for AI workloads. The role involves managing GPU environments, collaborating on infrastructure design, and driving best practices within a fast-growing team. Candidates should have substantial experience with Python, Kubernetes, Terraform, and Ansible.

Qualifications

• 5+ years experience as an Infrastructure Engineer or Site Reliability Engineer building and operating large-scale distributed systems.
• Skilled in Python and comfortable with Terraform and Ansible.
• Familiar with Kubernetes and related tools like FluxCD, Prometheus, and Grafana.

Responsibilities

• Design, build, and maintain core infrastructure for AI workloads.
• Manage and automate GPU compute clusters using Python, Kubernetes, Terraform, and Ansible.
• Collaborate with core engineers on infrastructure for new features.

Skills

Python

Kubernetes

Terraform

Ansible

FluxCD

Prometheus

Grafana

Job description

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).

About the Company

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.

About the Role

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.

What You’ll Do

• 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.

Requirements

• 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.

Bonus Points

• 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.

Skills

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