Senior Site Reliability Engineer

The Recruiting Guy; Washington (District of Columbia); On-site; USD 175,000 - 250,000; Full time

Job summary

A leading technology recruitment firm is looking for a Senior Cloud Infrastructure Engineer to design and maintain infrastructure for AI workloads. This full-time position is strictly on-site in San Francisco, requiring 5+ years of experience and skills in Python, Kubernetes, and GPU management. The ideal candidate will thrive in a fast-paced startup environment.

Qualifications

• 5+ years of experience as an Infrastructure Engineer or Site Reliability Engineer.
• Skilled in Python and infrastructure-as-code tools.
• Experience managing high-performance GPU environments.

Responsibilities

• Design and maintain infrastructure for AI workloads.
• Automate GPU compute clusters using Python and Kubernetes.
• Collaborate to shape infrastructure vision.

Skills

Python

Terraform

Ansible

Kubernetes

FluxCD

Prometheus

Grafana

Job description

Senior Cloud Infrastructure Engineer

Location: San Francisco, CA. Remote unavailable. Modality: On‑Site only. Must live within commuting distance of San Francisco or be willing to relocate. Relocation Assistance: No. Employment Type: Salaried W2 Full‑Time. Salary Range: $175,000 – $250,000.

About the Company

We represent a pioneering open source technology company in San Francisco that is transforming the way creators interact with generative AI.

They are the team behind a powerful, node‑based visual interface that gives artists, developers, and innovators the ability to design, control, and customize AI workflows with complete flexibility.

Their platform allows users to connect modular components, build complex pipelines, and run everything locally with impressive speed and precision.

Their mission is to make generative AI open, transparent, and accessible to everyone. Built around community collaboration and creative empowerment, their tools help users experiment freely and bring their ideas to life.

Whether it is visual storytelling, image generation, or advanced machine learning, their technology gives creators the freedom to explore without limitations.

About the Role

In this role, you will take the lead on designing, deploying, and maintaining large‑scale distributed systems that power AI workloads. You will work 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 of 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

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industries

Human Resources Services