Platform Engineer

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 teamsDesigning resilient build and deployment systems across research and production environmentsImplementing secure release processes with strong auditability and rollback supportCollaborating closely with ML engineers, DevOps, and infra teams to improve system reliability and performanceLeading incident response, root-cause analysis, and postmortems with a focus on learning and preventionThis 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 plusExperience managing run-books, DRP, change management, and general fault toleranceExperience with deployment strategies at scaleExperience designing reliable environments for experimental workloads and reproducible runsKnowledge of compliance and audit standards in deployment and system securityExperience with load testing, fault injection, and chaos engineering to harden systems under stressPassion 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 optimizationExposure 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 valuedWe strongly value new and crazy ideas and are very willing to bet big on new ideasWe move as quickly as we can; we aim to minimize the bar to impact as low as possibleWe all enjoy what we do and love discussing AI Benefits and Perks:Comprehensive medical, dental, vision, and FSA plansCompetitive compensation and 401(k) planRelocation and immigration support on a case-by-case basisIn-office snacks and meals providedUnlimited PTO and company holidaysIn-person team in San Francisco with a collaborative, high-energy environment