Member of Technical Staff — Backend/API Platform
Palo Alto, CA$200k - $400kFull-timePosted 3mo ago
About the role
Backend/API Platform engineer building API layer, control plane, and platform services powering SGLang and Miles. Focus on REST/gRPC APIs, authentication, multi-tenancy, and observability to support production-grade AI infrastructure.
Responsibilities
- Design and build production APIs for SGLang and Miles: REST/gRPC endpoints, client SDKs, API versioning
- Implement authentication, authorization, and rate limiting systems for multi-tenant deployments
- Build control plane infrastructure: job scheduling, resource allocation, model deployment management
- Create monitoring, logging, and observability systems for production inference and training workloads
- Design and implement billing integration, usage tracking, and quota management
- Build management dashboards and admin tools for cluster operations
- Ensure API reliability, performance, and security at scale
- Implement multi-tenancy isolation and security boundaries
- Create deployment automation, CI/CD pipelines, and rollback procedures
- Write comprehensive API documentation and integration guides
- Partner with Systems Engineers to optimize end-to-end latency from API → serving layer
- Debug production issues and implement reliability improvements
Qualifications
- 4+ years experience building production backend systems, APIs, or platform infrastructure
- Bachelor's or Master's degree in Computer Science, Engineering, or equivalent industry experience
- Strong proficiency in Python, Go, or Rust with production-quality code standards
- Experience designing and building REST/gRPC APIs at scale
- Solid understanding of distributed systems, databases, caching, and message queues
- Experience with authentication, authorization, rate limiting, and multi-tenancy
- Familiarity with cloud platforms (AWS, GCP, Azure) and Kubernetes
- Experience with monitoring and observability tools (Prometheus, Grafana, DataDog)
- Understanding of ML serving infrastructure or high-throughput systems is a plus
Skills
Required:API design and developmentAuthentication and authorizationDistributed systemsCloud and KubernetesMonitoring and observabilityCI/CD
Last updated Sep 22, 2026. Interested? Apply on the company site.
About RadixArk
SHIP AI FOR ALL
RadixArk is an infrastructure-first, deep-tech company building large-scale inference and training systems for the entire AI community.
AI systemsMilesSGLangbessemer-ai-infrastructure-2026inferenceinference-inflection-pointinfrastructureopen infrastructure
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