Amazon.com Services LLC

Security

Sr.SoftwareDevEngineer,EnterpriseSecurityProducts

$100–227k Austin, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Software Dev Engineer, Enterprise Security Products at Amazon.com Services LLC. Skills: AI Security Products, Agentic AI development, System architecture, Technical leadership. Architect AI powered security products. Drive AI powered security products”

Industry & Context.

Security
Problems you'll solve

Decompose complex problems; Decompose ambiguous problems; Root cause analysis

Eligibility Requirements

On call rotations

What They're Looking For.

Must Have

8+ years non-internship professional software development, 8+ years programming experience, 8+ years leading design or architecture, Experience as mentor, tech lead, Experience building agentic coding best practices

Nice to Have

8+ years full software development life cycle experience

What You'll Do.

Architect AI powered security products

Drive AI powered security products

Lead technical vision

Lead production delivery

Set architectural direction

Make high judgment decisions

Leverage agentic AI development practices

Own cross team technical leadership

Drive execution across multiple teams

Decompose complex problems

Decompose ambiguous problems

Deliver cross team initiatives

Define AI/ML capabilities

Advance AI/ML capabilities

Lead design of agentic systems

Lead design of RAG architectures

Lead design of conversational interfaces

Lead design of automation pipelines

Evaluate emerging AI capabilities

Make strategic build versus buy decisions

Champion AI assisted engineering practices

Establish AI first development workflows

Drive adoption of AI practices

Measure impact of AI practices

Set standard for team builds

Shape product direction

Partner with security researchers

Partner with applied scientists

Partner with product managers

Partner with UX designers

Translate customer needs

Influence roadmap priorities

Build foundation of growing team

Establish development rigor

Establish best practices

Establish technical review processes

Develop junior engineers

Develop mid level engineers

Foster culture of ownership

Foster culture of continuous learning

Drive operational excellence

Own reliability of services

Own performance of services

Own security of services

Lead on call rotations

Drive root cause analysis

Implement systemic improvements

Innovate with urgency

Validate with customers

Bring builder's mindset

How You'll Work.

Team & Collaboration

Cross team technical leadership; Partner with product managers; Partner with UX designers; Partner with security researchers; Partner with applied scientists

Communication Scope

Vision docs; Technical strategy

Process & Methodology

Roadmap planning, Sprint planning

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 is not a traditional SDE role. 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 Architect and drive AI powered security products end to end: Lead technical vision, system design, and production delivery of large scale, distributed systems that protect Amazon Business Customers. Set architectural direction and make high judgment decisions that shape the product roadmap. Leverage agentic AI development practices to accelerate every phase. Own cross team technical leadership: Drive execution across multiple teams and stakeholders. Decompose complex, ambiguous problems into actionable plans, unblock dependencies, and deliver cross team initiatives on time and at quality. Define and advance AI/ML capabilities: Lead the design of agentic systems, RAG architectures, conversational interfaces, and intelligent automation pipelines. Evaluate emerging AI capabilities and make strategic build versus buy decisions. Champion AI assisted engineering practices: Establish the team's AI first development workflows including agentic coding and experimental techniques. Drive adoption, measure impact on velocity and quality, and set the standard for how the team builds. Shape product direction: Partner with security researchers, applied scientists, product managers, and UX designers to translate customer needs into technical strategy. Influence roadmap priorities with data and technical insight. Build the foundation of a growing team: Establish development rigor, best practices, and technical review processes that set the bar for all future work. A ground floor opportunity to define

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