Manager III, Software Development, ECAT Team, Security Assurance Engineering; SAE
Job in
Seattle, King County, Washington, 98127, USA
Listed on 2026-07-18
Listing for:
Amazon
Full Time
position Listed on 2026-07-18
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Architect
Job Description & How to Apply Below
Manager III, Software Development, ECAT Team, Security Assurance Engineering (SAE)
Stellen-: | Amazon Web Services, Inc.
Location:
ES, Community of Madrid, Madrid
- Lead, develop, and inspire a talented team of engineers building AI/ML-powered compliance and security automation tools, providing mentorship, career growth opportunities, and creating an inclusive team environment
- Define and execute strategic roadmaps by working backwards from customer problems, owning team charter, vision, tenets, and long‑term architectural decisions that influence organizational goals
- Drive architecture, design, and delivery of intelligent document processing systems leveraging NLP, machine learning models, and generative AI to automate compliance workflows at scale
- Own operational excellence for security‑critical systems handling sensitive data, including incident response, security reviews, and maintaining the highest standards for data protection and privacy
- Partner with engineering, legal, science, and security teams to identify opportunities for AI/GenAI innovation, evaluate emerging technologies, and integrate them into the team’s product roadmap
- Make sound technical trade‑offs across ML model training and deployment, distributed systems design, and cloud infrastructure modernization while managing cross‑team dependencies
- Create mechanisms to scale delivery, measure customer impact through data‑driven metrics, and continuously improve software quality aligned with Amazon’s engineering best practices
- 7+ years of working directly within engineering teams
- 5+ years of engineering team management experience
- 5+ years of designing or architecting new and existing systems experience (design patterns, reliability and scaling)
- 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 communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience developing, deploying, and managing AI products at scale
- 2+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- Experience building systems that handle sensitive/regulated data at scale
- Familiarity with generative AI technologies and their application to automation, intelligent document processing, or compliance workflows
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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