Platform Engineer
Zyphra - San Francisco, California, United States
Posted Mar 17, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- 401(k) match
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Schedule
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- Weekend work
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Application
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Where they hire
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About this role
Platform Engineer San Francisco, California, United States 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
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