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Manager III, Software Development, ECAT Team, Security Assurance Engineering; SAE

Job in Seattle, King County, Washington, 98127, USA
Listing for: Role, Inc.
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), DevOps, Cloud Engineer - Software, Software Architect
Salary/Wage Range or Industry Benchmark: 240000 - 320000 USD Yearly USD 240000.00 320000.00 YEAR
Job Description & How to Apply Below
Position: Manager III, Software Development, ECAT Team, Security Assurance Engineering (SAE)

Are you excited about leading engineering teams that build AI-powered compliance and security tools protecting millions of customers worldwide? Do you want to own the development of intelligent automation systems that combine machine learning, natural language processing, and cloud-native architectures to solve some of the most impactful problems in cloud security?

Join Amazon's security organization in Seattle where you'll lead a high-performing engineering team building and operating critical compliance infrastructure and intelligent document processing systems. Your team's software enables security and compliance professionals to manage evidence at scale, automate sensitive information handling through AI/ML-driven workflows, and orchestrate complex data governance processes that maintain the highest bar for customer trust.

Responsibilities
  • 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.
Day in the Life

Your day starts with your team standup, where you're balancing strategic priorities—maybe a GenAI feature for intelligent content analysis, a security infrastructure migration, or an operational improvement to your workflows. You'll review a design document for an ML pipeline enhancement, provide feedback that pushes your engineers toward simpler, more scalable solutions, and then shift to a roadmap discussion with your legal and compliance stakeholders.

After lunch, you might dive deep into an operational metric that's trending the wrong direction, coach a senior engineer on their promotion path, or participate in an architecture review with peer teams. You close out the day feeling energized because your team ships software that directly protects customers and strengthens trust in AWS—and you're building a team culture where people do the best work of their careers.

About

the Team

We're a collaborative, mission-driven team within AWS Security that builds intelligent tools and services powering compliance and security assurance across Amazon. Our engineers work at the intersection of AI/ML, security, and distributed systems—tackling problems that require creativity, technical depth, and a genuine passion for customer trust. We value curiosity, we celebrate diverse perspectives, and we believe great software comes from teams where everyone feels they belong.

Basic

Qualifications
  • 7+ years of working directly within engineering teams experience
  • 5+ years of engineering team management experience
  • 5+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
  • 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
Preferred Qualifications
  • Experience in communicating with users, other…
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