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.

In this role, you'll define and drive a 1-3 year strategic vision for your team's products, make key architectural decisions across ML pipelines, distributed systems, and security-critical workflows, and deliver meaningful improvements that directly impact AWS's compliance posture. You'll partner closely with legal, security, and compliance stakeholders to translate complex regulatory requirements into elegant engineering solutions—all while building a culture of innovation, inclusion, and operational excellence.

We're looking for a leader who is energized by the intersection of AI/ML and security compliance, thrives in ambiguous problem spaces, and is passionate about developing engineers while shipping software that matters.

Key job 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

A 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.

Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.

Training & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

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 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
- 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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.