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Key job responsibilities
1. Build automation tools and pipelines to streamline security processes, enabling efficient and scalable security operations.
2. Develop reusable security libraries and frameworks that can be consumed by other teams, promoting consistency and best practices across the organization.4. Conduct code reviews, identify potential vulnerabilities, and propose mitigation strategies to enhance the overall security posture.
5. Stay up-to-date with the latest security trends, techniques, and industry best practices, and evangelize their adoption within the organization.
6. Participate in the design and implementation of secure software development lifecycle processes and tooling.
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the preferred 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.
Work/Life BalanceInclusive 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 and 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.
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- 4+ years of full stack development experience
- 1+ year of Generative AI experience, including the integration of Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) into applications.
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