Software Development Engineer, Amazon

• 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
• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language

Desirable

• Do you get excited about building intelligent automation that operates at Amazon scale? Interested in applying LLMs and AI to security engineering problems? Enjoy working with the latest AWS technologies? Here in Defensive Security, we have that special role just for you!
• The Augmented Remediation Insights & Architecture (ARIA) team is building the next generation of automation and tooling that powers how Amazon measures, operates, and accelerates security remediation
• Our systems use LLMs and data-driven intelligence to turn manual, reactive processes into automated ones and bar raise our security operation
• These applications enable Amazon defensive security and security management teams globally, giving leaders real-time visibility into remediation health across the company
• Our customers are Amazon security teams, internal builders, and ultimately Amazon's customers. Our engineers work directly with stakeholders, get close to customers' needs, and are empowered to take technical risks to build the best-in-class software with respect to quality, scale, and insights
• The technical foundation this team builds helps keep all of Amazon (Fulfillment Centers, Physical Stores, Whole Foods, Fresh, etc.) secure
• Architecture Design and Review
• Software Feature development in Java and Python using AWS services (S3, Lambda, SQS, Fargate/ECS, EMR, Spark, QuickSight etc.)
• Building LLM automation and data insights capabilities at scale
• Setting and achieving a high bar for Operational Excellence
• Earning trust in all directions; building partnerships with technical internal Amazon stakeholders WW
• System resilience testing and preparation
• Software project planning using Agile Methodologies (Scrum/Kanban)
• You'll design and build LLM-powered automation, self-serve analytics platforms, and tooling that security teams across Amazon rely on daily. One day you might be fine tuning LLM automation to expand automation in the issue health domain; the next, you're partnering with campaign team to enhance existing campaign lifecycle management workflow
• As a member of ARIA, you'll directly contribute to the S-team goals alongside senior Amazon leadership. Every day brings new challenges: emerging threats, evolving builder needs, and opportunities to utilize intelligent systems to free up security engineering time to tackle real critical risks. Making remediation faster, more accurate, and scalable