Platform Engineer

Bison; San Francisco (CA); On-site; USD 140,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Relocation and immigration support

In-office snacks and meals

Unlimited PTO and holidays

In-person team in San Francisco

Job summary

Zyphra, an AI company based in San Francisco, is seeking a Platform Engineer to design and maintain the systems that keep infrastructure robust, observable, secure, and scalable for ML workloads.

You'll work with ML engineers, DevOps, and infra teams to boost reliability and performance, lead incident response and postmortems, and build tooling that makes infrastructure invisible and reliable for end users.

Qualifications

• Experience in high-performance compute environments and ML clusters.
• Background in infrastructure as code (Terraform, Ansible).
• Familiarity with containers and scheduling systems (Docker, Kubernetes, Slurm).
• Experience with ML/AI deployment release engineering is a plus.
• Experience managing run-books, DRP, change management, and fault tolerance.
• Experience with deployment strategies at scale.
• Knowledge of compliance and audit standards in deployment and security.
• Experience with load testing, fault injection, and chaos engineering.

Responsibilities

• Design and maintain observability systems (monitoring, logging, alerting).
• Manage infrastructure as a service across the stack and CI/CD coordination.
• Design resilient build/deployment systems for research and production.
• Implement secure release processes with auditability and rollback support.
• Collaborate with ML engineers, DevOps, and infra teams to improve reliability.
• Lead incident response, root-cause analysis, and postmortems.

Skills

HPC & ML clusters

Infrastructure as code

Containers & Kubernetes

ML release engineering

Incident response

Security & compliance

Tools

Terraform

Ansible

Docker

Kubernetes

Slurm

Apptainer

vLLM

Ray

SGLang

Triton

Job description

Zyphra is an artificial intelligence company based in San Francisco, California.

The Role:

As a Platform Engineer, you’ll be responsible for designing and maintaining the systems that keep Zyphra’s infrastructure robust, observable, secure, and scalable. Your work will be essential to ensuring the reliability and reproducibility of ML workloads, the safety and control of deployments, and the long-term maintainability of our compute environments.

You’ll Work Across:

• Building and improving observability systems (monitoring, logging, alerting)

• Managing Infrastructure as a Service across the stack along with CI/CD in close partnership with engineering teams

• Designing resilient build and deployment systems across research and production environments

• Implementing secure release processes with strong auditability and rollback support

• Collaborating closely with ML engineers, DevOps, and infra teams to improve system reliability and performance

• Leading incident response, root-cause analysis, and postmortems with a focus on learning and prevention

• This role is ideal for someone who loves building systems that make other teams faster, safer, and more productive

What We're Looking For / Requirements:

• Experience in high-performance compute environments, such as ML clusters or GPU farms as well as hyperscaler cloud environments (i.e. AWS, GCP, etc.)

• Background in infrastructure as code (i.e., Terraform, Ansible, etc.)

• Familiarity with containers (i.e., Docker, Apptainer) and their integration with scheduling systems (i.e., Kubernetes, Slurm)

• Familiarity with software release engineering for ML/AI systems is a plus

• Experience managing run-books, DRP, change management, and general fault tolerance

• Experience with deployment strategies at scale

• Experience designing reliable environments for experimental workloads and reproducible runs

• Knowledge of compliance and audit standards in deployment and system security

• Experience with load testing, fault injection, and chaos engineering to harden systems under stress

• Passion for building tooling that makes infrastructure invisible and reliable for end users

Qualifications / Additional Skills:

• Experience with infrastructure as code (e.g., Ansible, Terraform)

• Prior work supporting ML/AI infrastructure, including GPU management and workload optimization

• Exposure to backend development for ML model serving (i.e., vLLM, Ray, SGLang, Triton)

Why Work at Zyphra:

• Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued

• We strongly value new and crazy ideas and are very willing to bet big on new ideas

• We move as quickly as we can; we aim to minimize the bar to impact as low as possible

• We all enjoy what we do and love discussing AI

Benefits and Perks:

• Comprehensive medical, dental, vision, and FSA plans

• Competitive compensation and 401(k) plan

• Relocation and immigration support on a case-by-case basis

• In-office snacks and meals provided

• Unlimited PTO and company holidays

• In-person team in San Francisco with a collaborative, high-energy environment