Application Security Engineer, AppSec ASSET

Amazon

Global technology company leading in e-commerce, cloud computing, and artificial intelligence

Seattle, WA, USA

$125,500 - $212,800

Security

Senior Software Engineer

In-Person

5,000+ Employees

5+ years of experience

Enterprise SaaS · Cybersecurity

Description For Application Security Engineer, AppSec ASSET

Amazon Stores Application Security team is seeking a Security Engineer to safeguard Amazon's vast digital infrastructure. This role offers an exciting opportunity to join a dynamic team focused on application security and customer protection. As a Security Engineer, you'll provide crucial consultation and support to Amazon builders and security certifiers, while maintaining a strong focus on customer obsession.

The position involves leading technical security initiatives, mentoring junior engineers, and developing comprehensive security documentation. You'll be responsible for conducting thorough security reviews, including threat modeling, code reviews, and architecture audits. The role requires expertise in various security domains, including access control systems, network security, and cryptography.

Working at Amazon, you'll be part of a team that's essential to maintaining the security of one of the world's largest technology companies. The role offers competitive compensation ranging from $125,500 to $212,800 based on location and experience, plus additional benefits including equity and comprehensive healthcare coverage.

This is an excellent opportunity for security professionals who want to make a significant impact on protecting millions of customers while working with cutting-edge technology and security practices. You'll have the chance to grow your expertise while working alongside some of the industry's best security professionals in a fast-paced, innovative environment.

Last updated an hour ago

Responsibilities For Application Security Engineer, AppSec ASSET

Act as escalation point-of-contact for internal Amazon customers seeking technical guidance
Provide technical leadership to junior security engineers
Research, develop, and maintain customer-facing documentation and internal runbooks
Maintain Application Security metrics
Triage and resolve incoming security support requests
Leverage scripting and automation skills to improve efficiency
Analyze customer feedback to identify trends
Perform security reviews including threat modeling, code reviews, and architecture audits

Requirements For Application Security Engineer, AppSec ASSET

Python

Linux

Experience in access control systems and methodology
Experience in network security
Experience in application and system development security
Experience in security architecture and models
Experience in cryptography and operations security
Experience scripting with Python, Perl, Bash or PowerShell
Knowledge of internet fundamentals and cloud computing concepts

Benefits For Application Security Engineer, AppSec ASSET

Medical Insurance

Dental Insurance

Vision Insurance

401k

Equity

Medical benefits
Financial benefits
Equity compensation
Sign-on payments available

Amazon

Global technology company leading in e-commerce, cloud computing, and artificial intelligence

Seattle, WA, USA

$125,500 - $212,800

Security

Senior Software Engineer

In-Person

5,000+ Employees

5+ years of experience

Enterprise SaaS · Cybersecurity

Amazon

Explain circular linked lists with advantages, disadvantages, use case, code snippets, and loop detection.

Data Structures & AlgorithmsMedium

Explain the concept of a circular linked list. Describe its advantages and disadvantages compared to a singly linked list. Provide an example of a scenario where a circular linked list would be a suitable data structure, and write code snippets in Python or Java to demonstrate how to insert a node into a circular linked list and traverse the list. Explain how to detect if a circular linked list has a loop.

Linked Lists

Amazon

Describe how you would improve an e-commerce product recommendation system.

System DesignHard

Let's explore your problem-solving skills with a practical scenario. Imagine you're building a feature for an e-commerce website that recommends products to users based on their past purchases. The system currently uses a simple algorithm: it identifies the products most frequently bought by users with similar purchase histories and suggests those. However, you've noticed a few issues: Lack of Novelty: The recommendations are often too obvious or repetitive. Users who bought coffee are constantly recommended coffee, even though they might be interested in other related items like filters, mugs, or coffee makers. Cold Start Problem: New users with limited purchase history receive generic recommendations that aren't very helpful. Ignoring User Context: The system doesn't consider factors like the time of year (e.g., recommending winter coats in July) or current trends. Your task is to enhance the recommendation system to address these issues. Describe your approach, considering both algorithmic improvements and data enrichment strategies. Provide specific examples of how you would: Incorporate a measure of diversity to introduce novelty into the recommendations. Handle the cold start problem for new users. Leverage additional data sources (e.g., product descriptions, user reviews, social media trends) to improve recommendation accuracy and relevance. Explain what machine learning algorithms and evaluation metrics you would use to validate your improvements. How would you A/B test your changes to ensure they are positively impacting user engagement and sales?

Dynamic Programming

Greedy Algorithms

Database Problems

Amazon

Work experience and current project

Behavioral

Tell me about your work experience and current project.

Arrays

Strings

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