Software Development Manager, Books Data Quality
Amazon · Madrid, Spain · Software Development
manager
software engineering
Engineering Manager
hybrid
· Posted May 14, 2026
About this role
Amazon is hiring a manager-level Engineering Manager in the software engineering function based in Madrid, Spain. The posting calls out experience with LLMs, ETL, SageMaker.
- Role
- Engineering Manager
- Function
- software engineering
- Level
- manager
- Track
- hybrid
- Employment
- Full-time
- Location
- Madrid, Spain
- Department
- Software Development
- Posted
- May 14, 2026
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Job description
from Amazon careersBDQ (Books Data Quality) owns the accuracy of book metadata across Amazon's global catalog — author attribution, series linking, categorization, publisher relationships, and entity resolution. We're replacing legacy heuristic systems with LLM-powered inference at catalog scale.
We need an SDM to lead one of our engineering teams. You'll manage the people, own the technical delivery, and drive migration off legacy systems.
Key job responsibilities
People management. You hire, develop, and retain SDEs. You run performance cycles, build promo cases, and coach engineers through the specific difficulty of shipping systems where 97% precision still means millions of wrong records. You create an environment where engineers can experiment with approaches that fail, while still hitting delivery dates.
Technical ownership. You own production inference systems, data pipelines, and catalog services. You make hosting decisions (Bedrock vs. SageMaker vs. self-hosted) and manage inference costs as volume grows.
- Experience in leading the definition and development of multi tier web services
- Experience managing engineers
- Experience partnering with product and program management teams
- Experience in engineering
We need an SDM to lead one of our engineering teams. You'll manage the people, own the technical delivery, and drive migration off legacy systems.
Key job responsibilities
People management. You hire, develop, and retain SDEs. You run performance cycles, build promo cases, and coach engineers through the specific difficulty of shipping systems where 97% precision still means millions of wrong records. You create an environment where engineers can experiment with approaches that fail, while still hitting delivery dates.
Technical ownership. You own production inference systems, data pipelines, and catalog services. You make hosting decisions (Bedrock vs. SageMaker vs. self-hosted) and manage inference costs as volume grows.
Basic Qualifications
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience in leading the definition and development of multi tier web services
- Experience managing engineers
- Experience partnering with product and program management teams
- Experience in engineering
Preferred Qualifications
This is an excerpt. Read the full job description on Amazon careers →