backend engineer

T-Systems Iberia is seeking a senior backend engineer in Granada, Spain to build and architect backend platforms for AI inference. The role involves designing core platform services, optimizing APIs, and managing key services for reliability and performance., * Design and build core platform services: API gateway, authentication, authorization, key rotation, and multi-tenant isolation.

• Implement and optimize APIs and backend systems using Python frameworks such as FastAPI, Flask, or Django.
• Architect usage metering, billing integration, and rate limiting for inference endpoints.
• Build scalable, fault-tolerant microservices for data processing and AI integration.
• Build and operate a high-throughput proxy/routing layer for AI model serving traffic.
• Collaborate with cross-functional teams to design system architecture and ensure seamless system interoperability.
• Design telemetry and observability from the ground up-structured logging, distributed tracing, metrics, and alerting.
• Implement robust CI/CD pipelines, monitoring, and observability for high-performance production systems.
• Drive technical decisions on architecture, data modeling, and technology choices.
• Identify performance bottlenecks and drive improvements in reliability, scalability, and latency.
• Establish engineering standards for the backend codebase: testing, code review, CI/CD, and deployment practices.
• Ensure best practices for security, compliance, and maintainability across the API lifecycle.
• Collaborate closely with the ML infrastructure team to integrate with model serving systems such as NVIDIA Dynamo, vLLM, or TensorRT-LLM.

Applicants should have over 5 years of backend experience and proficiency in Python. The position provides a dynamic work environment, opportunities for training, and a hybrid work model., * 5+ years experience building backend systems focused on API design.

• Strong proficiency in Python and one systems-oriented language.
• Experience with REST APIs and related protocols., * Design and build core platform services (API gateway, authentication).
• Implement and optimize APIs and backend systems using Python frameworks.
• Architect usage metering and billing integration.

Conocimientos

Python development API design Distributed systems Cloud infrastructure Containerization (Docker) Orchestration (Kubernetes), Degree in Computer Science or Software Engineering, We are looking for a senior backend engineer highly skilled in Python development with strong system design skills and extensive experience building production infrastructure. You will own and architect the backend platform behind our AI inference endpoints-a multi-tenant system handling authentication, API key management, usage metering, billing, and request proxy services. You'll shape architecture decisions, raise engineering quality, and build systems that are performant, secure, and observable at scale., * Degree in Computer Science, Software Engineering, or equivalent professional experience.

• 5+ years of experience building and operating backend systems in production, focusing on API design and high-scale environments.
• Strong proficiency in Python and at least one systems-oriented language (Go, Rust, Java, or C++).
• Experience designing and maintaining REST APIs and related protocols (gRPC, WebSockets, SSE, Webhooks).
• Solid understanding of distributed systems: consistency, fault tolerance, concurrency, performance, networking, data pipelines, and optimization.
• Experience designing authentication/authorization systems (OAuth2, JWT, API key management, RBAC/ABAC).
• Experience with cloud infrastructure (AWS, GCP, or Azure) and containerized environments (Docker) with orchestration (Kubernetes).
• Understanding of database design (SQL, ORMs) and data modeling at scale.
• Fluent in English (written and verbal) and comfortable collaborating in international teams.

Nice-to-have Requirements

• Experience with high-throughput, low-latency or real-time systems, such as message queues or event-driven architectures.
• Familiarity with generative AI or large language models, including integration of AI APIs, RAG workflows, or vector databases.
• Experience with modern DevOps practices, infrastructure as code, GitOps workflows, and observability tools (Prometheus, Grafana, OpenTelemetry).
• Exposure to ML serving infrastructure (model servers, GPU scheduling, inference optimization) a plus, but not required.
• Occasional frontend development when necessary.
• Experience in stress/load testing and performance evaluation of production systems.
• Strong problem-solving mindset and commitment to code quality and performance excellence.
• Track record of improving engineering culture: mentoring junior engineers, introducing better practices, and leading technical discussions.

Granada Híbrido EUR 40.000 - 60.000 Jornada completa Ayer Sé de los primeros/as/es en solicitar esta vacante

Recibe más respuestas de empleadores, Work Environment & Flexibility

• International, dynamic, and collaborative environment
• Social initiatives (sports, community, health, etc.)
• Hybrid work model (remote/on-site)
• Flexible working hours

Growth & Development

• Customized training: access to Coursera to learn whatever you want, whenever you want
• Weekly language classes (English, Spanish & German)
• International mentoring sessions & experience days

Compensation & Benefits

• Flexible compensation plan (health insurance, meal vouchers, childcare, transport)
• Telemedicine
• Life and accident insurance
• Social fund

Wellbeing & Time Off

• 26+ working days of vacation per year
• Free access to specialist services (medical, legal, wellness)
• 100% salary coverage during medical leave

T-Systems is part of the Deutsche Telekom Group, with around 30,000 employees worldwide. We create technology with purpose to generate a positive impact on society and we are looking for curious talent eager to learn, take on challenges, and contribute ideas that transform our customers' experience. We trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one global team guided by respect, integrity, and a passion for doing better every day., T-Systems delivers advanced technology solutions across industries such as automotive, healthcare, and public services. Our AI Foundation Services team builds the platform infrastructure that powers AI inference at scale, including API gateways, authentication, billing, and multi-tenant serving. We design and build high-performance backend systems and APIs that power intelligent applications. The culture encourages deep technical expertise, creativity, and ownership.