Lead Senior Backend Engineer (m/f/d)
hace 5 días
Granada
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 awareness Requisitos principales •