Security Engineering Manager, SDO AppSec EMEA

Company: Amazon
Apply for the Security Engineering Manager, SDO AppSec EMEA
Location: London
Job Description:

Overview

In this role you lead a team of security engineers to strengthen Amazon’s AppSec across services, driving strategic initiatives and scalable security practices. You will foster a collaborative culture, mentor engineers, and advance AI/LLM-based security solutions. This position offers impact by shaping security strategy as Amazon pursues high-velocity innovation with strong ownership. You will work with cross-functional partners to raise the bar on security at scale.

Pay / Benefits

  • DEI events and learning experiences
  • extensive training and career-growth resources
  • flexible work culture and work-life balance
  • employee wellbeing initiatives
  • meaningful, impactful work
  • opportunity to shape security strategy across Amazon

Responsibilities

  • Lead, manage and develop a team of Security Engineers and Technical Program Managers for AppSec of Amazon services
  • Set the direction and priorities for the AppSec review team and initiatives
  • Drive cross-team collaboration and influence stakeholders to adopt security programs
  • Foster a healthy, collaborative team culture and ensure delivery of results
  • Coordinate effective teamwork across groups with competing priorities
  • Improve internal programs and processes to enhance security posture and efficiency
  • Create clear, high-quality documentation for technical and non-technical audiences
  • Promote automation, tooling, and security process adoption to boost operational efficiency
  • Define and inspect team metrics to measure performance and outcomes
  • Advance the adoption of AI and LLM use cases in security workflows

Key requirements

  • 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 using data analytics and metrics to identify problems
  • Understanding of Generative AI technologies, large language models, and AI application architectures
  • Strategic leadership
  • Clear and compelling communication
  • Cross-functional collaboration
  • Application security
  • Cloud computing and security
  • AI security and large language models

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Posted: October 16th, 2026