Lead Senior Backend Engineer
Hace 1 semana
Reus, Cataluña, España
Deutsche Telekom
Jornada completa
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Experteer Overview
As a Senior Backend Engineer, you will own the evolution of a multi-tenant AI inference platform behind scalable endpoints. You’ll shape architecture for high-availability, secure backend services and implement key capabilities like authentication, metering and billing, and rate limiting. You will work with AI infrastructure and data engineering to build robust, observable systems that handle millions of requests. This role offers high ownership and the opportunity to influence technology choices and engineering standards. Join a collaborative team focused on delivering performant, secure AI-ready infrastructure at scale.
Compensaciones / Beneficios
• Design and build core platform services: API gateway, authentication, authorization, key rotation, multi-tenant isolation
• Architect and implement usage metering, billing integration, and rate limiting for inference endpoints
• Develop scalable, fault-tolerant microservices for data processing and AI integration
• Build and operate a high-throughput proxy/routing layer for AI model serving traffic
• Design telemetry and observability: structured logging, distributed tracing, metrics, alerts
• Establish CI/CD pipelines and robust monitoring for production systems
• Drive architectural decisions, data modeling, and technology choices
• Collaborate with ML infrastructure to integrate with model serving systems Responsabilidades
• strong Python backend development experience
• expertise in system design and distributed systems
• production infrastructure experience
• experience with API design and backend frameworks (FastAPI preferred; Flask/Django acceptable)
• ability to implement security, compliance, and maintainability practices
• collaboration with cross-functional teams Requisitos principales •
• Design and build core platform services: API gateway, authentication, authorization, key rotation, multi-tenant isolation
• Architect and implement usage metering, billing integration, and rate limiting for inference endpoints
• Develop scalable, fault-tolerant microservices for data processing and AI integration
• Build and operate a high-throughput proxy/routing layer for AI model serving traffic
• Design telemetry and observability: structured logging, distributed tracing, metrics, alerts
• Establish CI/CD pipelines and robust monitoring for production systems
• Drive architectural decisions, data modeling, and technology choices
• Collaborate with ML infrastructure to integrate with model serving systems Responsabilidades
• strong Python backend development experience
• expertise in system design and distributed systems
• production infrastructure experience
• experience with API design and backend frameworks (FastAPI preferred; Flask/Django acceptable)
• ability to implement security, compliance, and maintainability practices
• collaboration with cross-functional teams Requisitos principales •