Amazon.com Services LLC
Technology
SoftwareDevEngineerII,EnterpriseSecurityProducts
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Dev Engineer II, Enterprise Security Products at Amazon.com Services LLC. Skills: AI development, Security products, Distributed systems. Design AI-powered security products. Build AI-powered security products”
Industry & Context.
Root cause analysis; Troubleshooting
On-call rotations
What They're Looking For.
Must Have
3+ years professional software development experience, 2+ years system design or architecture experience, 1+ years designing distributed software applications, Experience in AI assisted coding practices
Nice to Have
3+ years full software development life cycle experience, Bachelor's degree in computer science, Experience building agentic coding processes
What You'll Do.
Design AI-powered security products
Build AI-powered security products
Ship AI-powered security products
Engineer end-to-end experiences
Build full-stack experiences
Build front-end interfaces
Build back-end services
Build intelligent middleware
Design for cloud-agnostic environments
Design intelligent systems
Implement intelligent systems
Design agentic architectures
Implement agentic architectures
Design conversational interfaces
Implement conversational interfaces
Design automation workflows
Implement automation workflows
Lead implementation planning
Lead effort estimation
Innovate relentlessly
Partner across disciplines
Work with security researchers
Work with applied scientists
Work with product managers
Work with UX designers
Shape product direction
Turn customer needs into solutions
Own operational excellence
Participate in on-call rotations
Drive root-cause analysis
Raise bar on reliability
Raise bar on performance
Raise bar on security
Contribute to technical reviews
Champion AI-first development practices
Build engineering culture
How You'll Work.
Team & Collaboration
Partner across disciplines; Work with scientists; Work with designers; Short lines to decision
Process & Methodology
Effort estimation, Phased rollouts
Full Job Description
What happens when you combine startup speed with Amazon-scale impact? You get this team. Amazon Enterprise Security Products is a newly launched group building intelligent, cloud-agnostic security tools using AI-first development practices. Here, you build AI and you build with AI — at the same time. This role offers a unique opportunity to expand your AI engineering toolkit in a production environment where experimentation and rapid iteration aren't just encouraged—they're how we operate. It's a chance to shape the future of security tooling with a small, fast team that ships like a startup and deploys like Amazon. Key job responsibilities * Design, build, and ship AI-powered security products: Own the full lifecycle from architecture through production deployment of large-scale, multi-tiered distributed systems that protect AWS Customers. Leverage agentic AI development practices to accelerate every phase. * Engineer end-to-end, full-stack experiences: Build across the entire stack with intuitive front-end interfaces, robust back-end services and REST APIs, and intelligent middleware. Deploy on AWS while designing for cloud-agnostic, multi-cloud environments so customers are protected wherever they operate. * What you build: Design and implement the intelligent systems customers interact with — agentic architectures, conversational interfaces, and automation workflows that make AI-first security real at scale. * How you build: Use AI tools and techniques (established and experimental) to write, test, review, and ship code faster. Multiplying your own velocity, quality, and creative output across greenfield and brownfield projects. * Plan, estimate, and drive delivery: Lead implementation planning, effort estimation, and phased rollouts across systems and operations; you own outcomes with the autonomy and accountability expected in a high-trust startup environment. * Prototype rapidly and innovate relentlessly: Validate hypotheses with customers, iterate quickly, a
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