Data Backend Developer

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