Security Engineer II, Ads Security

The Ads Security organization at Amazon is dedicated to creating innovative technical solutions that detect, assess, and mitigate security risks within Amazon’s Advertising businesses. Our vision is to accelerate the development velocity of the Advertising business by ensuring that our products are inherently secure. We are seeking a talented Security Engineer to join our team, where you will have the opportunity to contribute to securing web applications and services critical to delivering exceptional customer and partner experiences at scale in Amazon Ads. The ideal candidate You are a security engineer first, with a builder's mindset and a track record of shipping AI powered solutions that solve real security problems at scale. You don't just experiment with AI. You've deployed it in production, measured its impact, and iterated based on outcomes. You have deep, hands on expertise in security engineering fundamentals: threat modeling, secure system design, vulnerability analysis, incident response, and defensive architecture. You understand attacker methodologies and think about security from first principles, not just tool outputs. You have proven experience building security solutions powered by AI that operate reliably at scale. You are comfortable navigating ambiguity, defining problems before solving them, and influencing others through technical depth and clear communication. You set the bar for engineering quality on your team and raise the level of everyone around you. You are energized by the opportunity to pioneer a new discipline: applying generative AI and agentic systems to security challenges that were previously unsolvable through automation alone. Your role will be pivotal in ensuring the protection of customer data and critical infrastructure within the Ads organization. Key job responsibilities - End-to-end ownership including design, build, maintain, and expand, AI powered security automation solutions to fix security issues at scale. - Develop and maintain agentic AI workflows that enable faster security issue resolution. - Build evaluation frameworks and feedback loops to continuously measure and improve the accuracy, reliability, and safety of AI driven security tools. - Partner with other teams at Amazon to fine tune models for specific use cases in Amazon Ads, including anomaly detection, log analysis, and natural language security querying. - Define technical roadmaps for security automation initiatives, influencing org level priorities and driving alignment across partner teams. - Author and review technical design documents, threat models, and architecture proposals for security automation services. - Mentor engineers across the organization on best practices such as secure AI/ML system development and security automation patterns. - Establish operational excellence standards for AI security systems, including monitoring, alerting, and human in the loop safeguards. - Participate in on call rotations for security automation services, ensuring rapid response to production incidents and service degradation. - Provide regular updates to leadership on project status, risks, and strategic decisions through written narratives and review mechanisms. - Contribute to operational planning (OP1/OP2) including goal setting, resource planning, and roadmap prioritization for the team. - Participate in helping to grow and develop a high performing engineering team. - Support team development through code reviews, technical mentoring, career coaching, and fostering a culture of continuous learning. - Perform ad-hoc security related initiatives as needed 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 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. - 3+ years of any combination of the following: application security frameworks, identity and access controls, incident response, mobile security, cloud computing and security, AI security, threat intelligence, and penetration testing experience - Experience in one of the following programming languages: Java, Python, Ruby, Node.js, C#, or C - Bachelor's degree or above in Computer Science, Computer Engineering, Cybersecurity, or other related discipline - 2+ years of demonstrated experience utilizing AI/ML technologies for security use cases, including prompt engineering, LLM integration, or ML pipeline development. - Experience with cloud security architecture (AWS preferred) including IAM, VPC, KMS, and security monitoring services. - Proven ability to design and deliver large scale distributed systems with high availability and operational maturity. - Track record of influencing technical strategy and driving cross team alignment on security initiatives. - Bachelor's degree in Computer Science, Cybersecurity, or a related field (or equivalent experience). - Familiarity with Amazon Bedrock, SageMaker, or similar managed AI/ML services for production model deployment. - Demonstrated success applying generative AI to reduce mean time to detect (MTTD) or mean time to respond (MTTR) in security operations. - Contributions to open source security tools or published research in AI for cybersecurity. - Experience with retrieval augmented generation (RAG) architectures for security knowledge bases and documentation. - Advanced degree (MS/PhD) in Computer Science, Machine Learning, Cybersecurity, or a related field. - AWS certifications (Security Specialty, Solutions Architect, or Machine Learning Specialty). 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive bene