The Recruiting Guy
Senior Cloud Infrastructure Engineer
The Recruiting Guy, Washington, District of Columbia, us, 20022
Senior Cloud Infrastructure Engineer
Location: San Francisco, CA (On‑Site only, Remote unavailable). 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 per year.
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 allows artists, developers, and innovators 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. Mission: to make generative AI open, transparent, and accessible to everyone by fostering community collaboration and creative empowerment.
About the Role Lead the design, deployment, and maintenance of large‑scale distributed systems powering AI workloads. Close collaboration with core engineers to shape long‑term infrastructure vision, ensuring scalability, performance, and reliability across environments.
Responsibilities
Design, build, and maintain core infrastructure that powers AI workloads at scale.
Manage and automate GPU compute clusters using 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 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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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 allows artists, developers, and innovators 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. Mission: to make generative AI open, transparent, and accessible to everyone by fostering community collaboration and creative empowerment.
About the Role Lead the design, deployment, and maintenance of large‑scale distributed systems powering AI workloads. Close collaboration with core engineers to shape long‑term infrastructure vision, ensuring scalability, performance, and reliability across environments.
Responsibilities
Design, build, and maintain core infrastructure that powers AI workloads at scale.
Manage and automate GPU compute clusters using 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 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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