Lead Senior Backend Engineer

Experteer Overview As a Senior Backend Engineer, you will architect and evolve a maintainable, high-performance backend platform behind AI inference endpoints.You’ll own multi-tenant systems handling authentication, API keys, usage metering, and billing, enabling scalable AI-powered solutions.You collaborate with AI infrastructure and data teams to deliver secure, observable, and resilient services at scale.This role offers ownership of core platform decisions and a chance to shape reliable, high-throughput systems in a collaborative culture.Compensaciones / Beneficios - Design and build core platform services: API gateway, authentication, authorization, key rotation, and multi-tenant isolation - Develop and optimize APIs and backend systems using Python (primarily FastAPI; possible Flask or Django) - Implement usage metering, billing integration, and rate limiting for inference endpoints - Build scalable, fault-tolerant microservices for data processing and AI integration - Operate a high-throughput proxy/routing layer for AI model serving traffic - Collaborate with cross-functional teams to ensure seamless system interoperability - Incorporate telemetry and observability: structured logging, distributed tracing, metrics, alerting - Establish CI/CD pipelines, monitoring, and observability for production systems - Drive architectural decisions on data modeling and technology choices - Identify bottlenecks and improve reliability, scalability, and latency - Set engineering standards for backend codebase: testing, code review, deployment practices - Ensure security, compliance, and maintainability across the API lifecycle - Collaborate with ML infrastructure to integrate with model serving systems (e.G., NVIDIA Dynamo, vLLM, SGlang, TensorRT-LLM)Responsabilidades - Senior backend engineer with strong Python and system design skills - Experience building production infrastructure and distributed systems - Proven ability to design, implement, and scale APIs and backend services - Knowledge of authentication, authorization, and multi-tenant architectures - Familiarity with API gateways, metering, billing, and rate limiting - Experience with telemetry, observability, logging, tracing, metrics - Understanding of CI/CD, testing, and deployment best practices - Ability to collaborate with ML infrastructure teams on model serving integration - Security and compliance awarenessRequisitos principales -

You’ll own multi-tenant systems handling authentication, API keys, usage metering, and billing, enabling scalable AI-powered solutions. You collaborate with AI infrastructure and data teams to deliver secure, observable, and resilient services at scale. This role offers ownership of core platform decisions and a chance to shape reliable, high-throughput systems in a collaborative culture.Compensaciones / Beneficios - Design and build core platform services: API gateway, authentication, authorization, key rotation, and multi-tenant isolation - Develop and optimize APIs and backend systems using Python (primarily FastAPI; possible Flask or Django) - Implement usage metering, billing integration, and rate limiting for inference endpoints - Build scalable, fault-tolerant microservices for data processing and AI integration - Operate a high-throughput proxy/routing layer for AI model serving traffic - Collaborate with cross-functional teams to ensure seamless system interoperability - Incorporate telemetry and observability: structured logging, distributed tracing, metrics, alerting - Establish CI/CD pipelines, monitoring, and observability for production systems - Drive architectural decisions on data modeling and technology choices - Identify bottlenecks and improve reliability, scalability, and latency - Set engineering standards for backend codebase: testing, code review, deployment practices - Ensure security, compliance, and maintainability across the API lifecycle - Collaborate with ML infrastructure to integrate with model serving systems (e.G., NVIDIA Dynamo, vLLM, SGlang, TensorRT-LLM)Responsabilidades - Senior backend engineer with strong Python and system design skills - Experience building production infrastructure and distributed systems - Proven ability to design, implement, and scale APIs and backend services - Knowledge of authentication, authorization, and multi-tenant architectures - Familiarity with API gateways, metering, billing, and rate limiting - Experience with telemetry, observability, logging, tracing, metrics - Understanding of CI/CD, testing, and deployment best practices - Ability to collaborate with ML infrastructure teams on model serving integration - Security and compliance awarenessRequisitos principales -