Airbus - Aerial Delivery Software Engineer
Core
Designing and maintaining cloud infrastructure and data pipelines to support Data Science teams and client projects.
Role type
Senior Data Engineer (Cloud & ML Infrastructure)
Builds
Cloud services, containerized applications, server-side tools, and data pipelines for Data Science workloads.
Domain
Cloud computing, Data Engineering, Machine Learning infrastructure
Deliverable
infrastructure
Required skills
Cloud architecture (GCP, AWS, Azure), Container orchestration (Docker, Kubernetes), Python development, CI/CD pipeline management, Big Data ETL scripting, Infrastructure as Code
Preferred skills
Cost optimization, Role management, Technology watch for ML solutions
Technologies
GCP, AWS, Azure, Docker, Kubernetes, Python, CI/CD tools, Big Data environments
Responsibilities
Architecting cloud services and managing storage/compute resources, Orchestrating containerized applications for Data Science, Developing server-side tools and REST APIs, Managing CI/CD for application deployment, Building ETL scripts in Big Data environments, Implementing ML infrastructure solutions
Seniority
Mid-to-Senior, hands-on IC
