Backend Engineer - Data

We are looking for a Backend Engineer who enjoys building reliable, scalable services that power advanced AI and data-intensive applications.

You’ll help design, optimize, and deploy backend systems that enable high-performance workflows across a cloud-native environment.

Develop and maintain backend services using

Python

as a primary language. Design efficient and well-structured APIs using REST or gRPC, ensuring scalability, clear versioning, and strong performance. Build and maintain containerized services using

Docker

, with exposure to

Kubernetes

for orchestration. Work with relational databases (PostgreSQL/MySQL), including schema design and query optimization. Integrate multiple internal systems and tools to automate data workflows, CI/CD processes, and ML-driven tasks. Collaborate with product, design, and frontend teams to define backend contracts and enable smooth UI and system interactions. Deploy and support services in

AWS or cloud environments

, following best practices for monitoring, testing, and reliability. Translate early-stage prototypes and research scripts into stable, production-ready APIs and microservices.

2–5 years of experience developing backend applications with

Python

(Go optional). ~ Experience with Docker and familiarity with Kubernetes. ~ Solid knowledge of relational databases and schema design. ~ Hands-on experience with CI/CD workflows (GitHub Actions, GitLab CI, etc.). ~ Experience deploying services in

AWS

or comparable cloud infrastructure. ~ Experience with ML workflow orchestration tools (Airflow, MLflow, Flyte, Kubeflow). Familiarity with LLM deployment or inference frameworks (vLLM, Hugging Face Hub, Triton, NIM). Knowledge of event-driven or messaging systems (Kafka, NATS, RabbitMQ). Understanding of observability tooling (Prometheus, Grafana, OpenTelemetry).

Contract Details Fixed-term contract Based in

Zaragoza

, with 3 days per week onsite