Backend Engineer

engineering, distributed systems, and machine learning operations. Key Responsibilities - Design and implement scalable ML infrastructure for training, deployment, and serving in batch and real-time environments, supporting aircraft maintenance workflows. - Build and maintain efficient data pipelines (ETL/ELT) for large-scale processing and feature engineering, leveraging aircraft sensor, telemetry, and maintenance records data. - Optimize compute resources and improve model serving performance across ML systems used in maintenance scheduling and anomaly detection. - Implement robust monitoring, logging, and alerting systems, and contribute to MLOps practices including CI/CD pipelines. - Collaborate closely with Data Scientists and Maintenance Engineers to streamline the model development-to-production workflow. - Research and integrate new technologies, mentor junior engineers, and communicate technical solutions to diverse stakeholders across engineering and operations teams.

Qualifications - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field. - 6-7 years of experience in Software, Data, or ML engineering roles (preferred). - Strong problem-solving skills, proficiency in Python. - Understanding of ML algorithms, model architectures, and experience building scalable, reliable ML systems - ideally in safety-critical or regulated industries. - Exposure to cloud platforms (e.G., AWS), containerization (Docker), and scalable data systems (e.G., Spark, Kafka). - Familiarity with CI/CD tools (e.G., GitHub Actions), ML model serving technologies (e.G., MLflow), and ability to collaborate well across multidisciplinary teams. Location - Madrid: Spain (willingness to travel to the UK 2-3 times a month) Some of the benefits you’ll enjoy working with us: - The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built. - The opportunity to form part

of an amazing, multicultural community of tech experts. - A highly competitive compensation package. xhfqzwm - Medical insurance. J-18808-Ljbffr