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# Lead Senior Backend Engineer

- **Company:** Deutsche Telekom
- **Location:** Granada, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, User Authentication, Code Review, Continuous Integration, Distributed Systems, Django Web Framework, Fault Tolerance, Interoperability, Python (Programming Language), Software Deployment, AI Infrastructure, Data Logging, Data Processing, Flask (Web Framework), Large Language Models, Backend, Rate Limiting, Fastapi, Build Management, Low Latency, Machine Learning Operations, TensorRT, Api Gateway, Dynatrace, Api Management, Microservices
- **Published:** September 27, 2026
- **Apply:** https://www.buscojobs.com.es/lead-senior-backend-engineer-m-f-d-en-granada-ID-372672495

## About the Role

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 -

## Description

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 -


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