The Recruiting Guy
Senior Cloud Infrastructure Engineer
The Recruiting Guy, San Francisco, California, United States, 94199
If this role is still posted then we are still recruiting and needing applications.
Job Title 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
Company Overview 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. The ideal candidate is deeply technical, self‑sufficient, and motivated by solving complex infrastructure challenges. 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 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
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Job Title 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
Company Overview 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. The ideal candidate is deeply technical, self‑sufficient, and motivated by solving complex infrastructure challenges. 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 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
#J-18808-Ljbffr