Member of Technical Staff — Backend/API Platform
RadixArk
CA$200,000 - CA$400,000 / year
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Description
About the Role
Requirements
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4+ years experience building production backend systems, APIs, or platform infrastructure
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Bachelor's or Master's degree in Computer Science, Engineering, or equivalent industry experience
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Strong proficiency in Python, Go, or Rust with production-quality code standards
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Experience designing and building REST/gRPC APIs at scale
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Solid understanding of distributed systems, databases, caching, and message queues
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Experience with authentication, authorization, rate limiting, and multi-tenancy
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Familiarity with cloud platforms (AWS, GCP, Azure) and Kubernetes
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Experience with monitoring and observability tools (Prometheus, Grafana, DataDog)
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Understanding of ML serving infrastructure or high-throughput systems is a plus
Responsibilities
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Design and build production APIs for SGLang and Miles: REST/gRPC endpoints, client SDKs, API versioning
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Implement authentication, authorization, and rate limiting systems for multi-tenant deployments
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Build control plane infrastructure: job scheduling, resource allocation, model deployment management
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Create monitoring, logging, and observability systems for production inference and training workloads
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Design and implement billing integration, usage tracking, and quota management
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Build management dashboards and admin tools for cluster operations
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Ensure API reliability, performance, and security at scale
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Implement multi-tenancy isolation and security boundaries
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Create deployment automation, CI/CD pipelines, and rollback procedures
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Write comprehensive API documentation and integration guides
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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.
Benefits
- stock options
About this role
RadixArk is building the production infrastructure layer for SGLang and Miles, their high-performance AI serving and training platforms. As a Member of Technical Staff on the Backend/API Platform team, you'd own the systems that thousands of developers and companies depend on—designing and implementing REST/gRPC APIs, authentication and multi-tenancy isolation, control plane services for job scheduling and model deployment, and the monitoring infrastructure that keeps everything running at scale. This role sits at the intersection of high-performance inference systems and production platform engineering, requiring you to bridge the gap between what the serving layer can do and what developers actually need to build with it.
You'll need at least four years building production backend systems, APIs, or platform infrastructure, with strong proficiency in Python, Go, or Rust. The role expects solid distributed systems knowledge—databases, caching, message queues, Kubernetes—plus hands-on experience with authentication, rate limiting, and cloud platforms. Familiarity with monitoring tools like Prometheus or Grafana is important; experience with ML serving infrastructure or high-throughput systems is a bonus but not required.
The team was founded by AI infrastructure veterans from xAI and NVIDIA who created SGLang (30K+ GitHub stars) and have optimized systems serving billions of tokens daily. This is a full-time, in-office role in Palo Alto with a salary range of $200,000–$400,000 plus equity, depending on your background and experience.
How this employer is doing
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Pay for this role
$200,000 to $400,000 per year
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