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Site Reliability Engineer, Platform Infrastructure (Foundations)

AnyscaleSan FranciscoEngineering
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Salary
$200K - $240K USD
Job type
Full-time
Work mode
Remote
Posted
26 Aug 2026
Status
Open · checked 7d ago

About this role

Role Overview

Production is seeking a Site Reliability Engineer for their Platform Infrastructure Foundations team based in San Francisco, with remote flexibility. This full-time position suits experienced professionals with a background in cloud-native technologies and distributed systems who want to advance AI infrastructure.

Key Responsibilities

Design, construct, and scale services that orchestrate Ray clusters across cloud and on-premises environments for both virtual machine and Kubernetes deployments.
Fine-tune control plane components to support large-scale distributed artificial intelligence and machine learning workloads.
Create intelligent resource management and scheduling systems designed for heterogeneous compute clusters.
Build features that improve the scalability, performance, reliability, and observability of managed Ray workloads.
Support and enhance hardware accelerator integration, including graphics processing units and tensor processing units.
Manage container images and resolve dependencies for distributed workloads.
Engage in architecture discussions, design sessions, and code reviews.
Deliver on-call support by partnering with field and customer teams to diagnose infrastructure problems.

Requirements

Hold a Bachelor's degree in Computer Science, Engineering, or possess equivalent practical experience.
Bring three or more years of professional experience writing high-quality production code.
Demonstrate hands-on experience building and maintaining performant, highly available, and scalable distributed systems.
Possess expertise in Kubernetes-based deployments and cloud-native technologies across AWS, Azure, and GCP.
Understand networking, authentication, and security mechanisms within cloud environments.
Show familiarity with monitoring and observability stacks like Prometheus and Grafana.
Understand low-level operating system foundations including Linux kernels, containers, and file systems.

Skills and Tools

Python
Go
AWS, GCP, Azure
Kubernetes
Prometheus and Grafana

Salary and Benefits

Annual salary range of $200,000 to $240,000 paid in USD.
Full-time employment with remote work options.

About the Company

Production is commercializing Ray, an open-source framework designed to create an ecosystem of libraries for scalable machine learning. The organization aims to democratize distributed computing so software developers and data scientists can scale machine learning applications from a laptop to a cluster without requiring distributed systems expertise. Backed by prominent venture capital firms, the company builds tools to make running distributed AI applications in the cloud straightforward.

How to Apply

Interested candidates should visit the official company careers page to submit an application for this position.

Skills and tech stack

PythonAWSGCPAzureKubernetes

Questions candidates ask

What is the salary range for the Site Reliability Engineer role?

The annual salary ranges between $200,000 and $240,000 USD.

Where is the position located?

The job is based in San Francisco with remote work options available.

What level of experience is required for this position?

Candidates must have three or more years of experience writing high-quality production code and building distributed systems.

What primary programming languages are expected?

Proficiency in Python and Go is required for this role.

How do I apply for the job?

Interested applicants should visit the official company careers page to apply.

Ready to apply?

The application is on the official Anyscale careers page.

Apply on company site