> Markdown version of [/jobs/ext/4627047-senior-site-reliability-engineer](https://www.wearedevelopers.com/jobs/ext/4627047-senior-site-reliability-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Site Reliability Engineer

- **Company:** The Hr Guy LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Distributed Data Store, Distributed Systems, Python (Programming Language), Open Source Technology, Reliability Engineering, Ansible, Prometheus, AI Infrastructure, Grafana, Kubernetes, Infrastructure Automation Frameworks, Bare Metal, Machine Learning Operations, Terraform, Programming Languages
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_130e95abfdaffdf8217f30b8f217b84d

## About the Role

* 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, * 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

## Description

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., * 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