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Amazon

Security Engineer, SDO AppSec

Amazon is hiring a Security Engineer, SDO AppSec in London, United Kingdom. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this cybersecurity role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions LLMs, Generative AI and AI agents among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Build and scale application security reviews while leveraging generative AI and AI agents to automate review processes.

LLMsGenerative AIAI agents
ai-agentsapplication-securitythreat-modelingsecure-architectureautomation
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.

Amazon is continuously innovating new services and features for our customers. Our engineers invent, build, and sometimes break things to make them easier, faster, better, and more cost-effective. However, no matter what we’re building – from websites to web services, AR to AI, drones to devices – security is always our top priority. The Amazon Application Security team focuses on working with our builders to provide experiences that our customers can trust. That means constantly learning new things and solving complex problems to protect the safety, security, and privacy of billions of lives on a global scale.

At Amazon, you’ll be working with the best minds in technology and security. Learn and be curious here, and accelerate your career growth. You can take pride in knowing that your work is meaningful, having a positive impact on others and making the world a better place.

We are looking for an experienced application security engineer to join the Application Security team. You should know how to prioritize, communicate clearly and compellingly, and understand how to maintain a high level of focus and excellence in a growing application landscape. Passion and discipline around cloud computing is critical, as is a high level of ownership and accountability.

Key job responsibilities
- Application security reviews
- Secure architecture design
- Threat modeling
- Projects and research work as needed
- Security training and outreach to internal development teams
- Automating and enhancing security review processes using AI agents, LLMs, and generative AI tooling
- Security guidance documentation
- Security metrics delivery and improvements
- Assistance with recruiting activities

About the team
About Amazon Security:

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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic qualifications

- Bachelor's degree in computer science or equivalent
- Knowledge of networking protocols such as HTTP, DNS and TCP/IP
- Experience programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language
- Experience applying threat modeling or other risk identification techniques or equivalent
- AI/LLM-based automation of security workflows

Preferred qualifications

- Experience with AWS products and services
- Experience with any combination of the following: threat modeling, secure coding, identity management and authentication, software development, cryptography, system administration and network security

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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.

How we rate this

Security Engineer, SDO AppSec at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsApplication SecurityThreat ModelingSecure ArchitectureAutomationLLMsGenerative AI

Also common in cybersecurity jobs at this level

Pay

Typical cybersecurity job
$160k

This posting doesn't list pay. Use the typical cybersecurity figure when pay comes up. See cybersecurity jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where application security was part of your work. What did you do?
  3. Tell me about a project where threat modeling was part of your work. What did you do?
  4. Tell me about a project where secure architecture was part of your work. What did you do?
  5. Tell me about a project where automation was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Application Security, Threat Modeling, Secure Architecture, and Automation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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