Security Engineer, IAM Stores Security
Role details
Job location
Tech stack
Job description
Every action across Amazon's vast infrastructure tells a story - and we make sure security teams can read it. Join us to build systems that capture, standardize, and deliver billions of security events daily, powering threat detection across the company.
As a Security Engineer on this team, you'll work at the in critical areas of tech such as AI security monitoring and cloud infrastructure protection. You won't just be watching from the sidelines - you'll be designing and building the pipelines and detection capabilities that keep Amazon's AI workloads and AWS infrastructure secure at massive scale.
Key job responsibilities Design, build, and operate security logging pipelines that process billions of events daily across global AWS infrastructure.
Develop monitoring and detection capabilities for AI/ML workloads, identifying security-relevant signals in an emerging and fast-moving space.
Mentor teammates through code reviews, design discussions, and knowledge sharing.
Write clean, well-tested, production-ready code following engineering best practices where automated testing, continuous deployment, and observability are expected.
Investigate and respond to operational issues, performing root cause analysis and driving long-term fixes to prevent recurrence.
About the team 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Requirements
Do you have experience in Swift?, Do you have a Bachelor's degree?, * Bachelor's degree in computer science or equivalent
- Experience programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language
- Experience in any combination of the following: application security frameworks, security code reviews, incident response, secure infrastructure, penetration testing, mobile security, cloud security, AI security, identity and access controls, threat modeling, cryptography, threat intelligence, or secure software development
- Experience applying threat modeling or other risk identification techniques or equivalent
- Experience with AWS products and services
- Experience implementing security solutions at the cross-team level
- Experience developing, deploying, or securing applications that integrate large language models (LLMs) or generative AI services, * Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience in machine learning, data mining, information retrieval, statistics or natural language processing