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Member of Technical Staff — Backend/API Platform

RadixArk

Palo Alto, CAFull-timeNo compensation foundPosted 1mo agoVerified open 4 days ago

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At a glance

Compensation
No compensation found
Location
Palo Alto, CA
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

RadixArk is hiring a Backend/Platform Engineer. RadixArk is seeking a Backend/Platform Engineer to develop the API layer, control plane, and platform services for SGLang and Miles. This role involves designing and implementing REST/gRPC APIs, authentication systems, multi-tenancy isolation, and monitoring infrastructure. The engineer will bridge high-performance inference/training systems with production-grade platform engineering, supporting thousands of developers and companies.

Key focus areas include Design and build production APIs for SGLang and Miles, Implement authentication, authorization, and rate limiting systems, and Build control plane infrastructure for job scheduling and resource allocation.

Successful candidates bring Production Backend Systems Experience and Bachelor's Or Master's In Computer Science Engineering Or Equivalent. Important skills include Python, Go, Rust, Production-Quality Code Standards, REST APIs, and GRPC APIs. Preferred (not required): ML Serving Infrastructure and High-Throughput Systems.

Skills & qualifications

RequiredNice to have

Skills

PythonGoRustProduction-Quality Code StandardsREST APIsGRPC APIsDistributed SystemsDatabasesCachingMessage QueuesAuthenticationAuthorizationRate LimitingMulti-TenancyAWSGCPAzureKubernetesPrometheusGrafanaDatadogML Serving InfrastructureHigh-Throughput Systems

Qualifications

4+ Years Experience Building Production Backend SystemsBachelor's or Master's Degree in Computer ScienceEquivalent Industry ExperienceDegree in Engineering

Benefits

Medical Insurance

Full job description

About the Role RadixArk is looking for a Member of Technical Staff — Backend/API Platform Engineer to build the API layer, control plane, and platform services that power SGLang and Miles in production. You'll design and implement the REST/gRPC APIs, authentication systems, multi-tenancy isolation, and monitoring infrastructure that thousands of developers and companies rely on. This role bridges high-performance inference/training systems with production-grade platform engineering. Requirements

  • 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 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 About RadixArk RadixArk is an infrastructure-first company built by engineers who've shipped production AI systems, created SGLang (30K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework). Founded by AI infrastructure veterans from xAI and NVIDIA, we're on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training. Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.

Compensation Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.

Equal Opportunity RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

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