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Security Engineering Manager

Amazon

London, United KingdomOn-siteSeniorPosted Oct 13, 2026
€235,000 total comp€107,000 kept per year on a comfortable lifestyle

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Job description

Who you are

  • Experience developing and managing a high-performing team
  • Experience in progressive work within a software security team or related operating environment
  • Bachelor's degree in Computer Science, Information Security, or a related field
  • Experience managing teams, or experience working with data analytics and using these metrics to identify problems
  • Understanding of Generative AI technologies, large language models, and AI application architectures
  • Experience programming in at least one modern language such as Objective-C, C++, Java, JavaScript
  • Experience with 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 with AWS or cloud technologies

What the job involves

  • Lead, manage, and develop a team of Security Engineers and Technical Program Managers responsible for Application Security (AppSec) of Amazon services
  • Lead the strategic direction and evolution of the Application Security review team/s, including setting goals and establishing priorities
  • Set the direction for the team by driving strategic initiatives, influencing leadership, key stakeholders, and partnering with teams throughout Amazon
  • Develop a healthy and collaborative culture and enable the team to deliver results
  • Lead effective teamwork, communication, collaboration and commitment across multiple disparate groups with competing priorities
  • Lead improvements to internal program and process
  • Write and deliver high-quality documents for technical and non-technical audiences
  • Drive the adoption of security processes, automation, and tooling to improve operational efficiency
  • Implement and inspect team metrics
  • Drive the adoption of AI and LLM use cases

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