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Sustainrecruit Talent busca un Ingeniero Backend Senior para diseñar, construir y mantener servicios Python que alimenten aplicaciones de IA en producción. Trabajarás con Data Scientists, AI Engineers y equipos de Plataforma para entregar sistemas seguros y escalables.
Responsable de APIs, modelado de datos y operaciones, con enfoque en fiabilidad, rendimiento y observabilidad. Modelo de trabajo híbrido, con oportunidades de desarrollo técnico y liderazgo.
Descripción del trabajo
Senior Backend Engineer Si los siguientes requisitos del puesto y la experiencia coinciden con sus habilidades, por favor, asegúrese de enviar su solicitud sin demora. We're partnering with a leading enterprise organisation investing heavily in AI and looking for an experienced Senior Backend Engineer to build the backend services that power production AI applications. This is a hands‑on engineering role where you'll design, build and operate scalable Python services, working closely with AI Engineers, Data Scientists and Platform teams to deliver secure, reliable and high-performing systems. The Role You'll take ownership of backend services from design through to production, helping shape architecture and engineering standards while solving real-world challenges around scalability, reliability and AI integration.
Design and develop scalable backend services and REST APIs using Python. Integrate AI, machine learning and Large Language Model (LLM) capabilities into production applications. Build secure, resilient and observable cloud‑native services. Design data models, APIs and system integrations. Improve testing, CI/CD pipelines, monitoring and operational excellence. Collaborate with cross‑functional engineering teams, architects and product stakeholders. Mentor engineers and contribute to technical decision‑making and best practice.
Strong commercial experience developing backend applications with Python. Experience designing APIs and distributed backend systems. Knowledge of cloud platforms (AWS preferred). Experience with Docker and Kubernetes. Strong understanding of databases, data modelling and system integration. Good knowledge of CI/CD, testing and observability. Ability to make sound architectural decisions and communicate technical trade‑offs.
FastAPI Terraform Amazon EKS PostgreSQL or Aurora Event-driven or asynchronous architectures Production AI or LLM integration Enterprise-scale software engineering
Work on cutting‑edge AI products moving into production. Influence technical architecture and engineering standards. Join a collaborative team solving complex engineering challenges. xbhjioe Hybrid working with excellent long‑term career opportunities.