Software Development Engineer, AWS Proactive Security Detective Tooling

Amazon

Amazon Web Services (AWS) is the world's leading cloud platform providing reliable, scalable, and secure cloud computing services.

Seattle, WA, USA

$129,300 - $223,600

Security

Mid-Level Software Engineer

In-Person

5,000+ Employees

3+ years of experience

Cybersecurity · Enterprise SaaS · Cloud

Description For Software Development Engineer, AWS Proactive Security Detective Tooling

The AWS Proactive Security Detective Tooling (PSDT) team is seeking a Software Development Engineer passionate about security-at-scale. This role is within the Network Security team, focusing on ensuring all network endpoints meet AWS Security standards. You'll be working on building and maintaining large-scale distributed systems that monitor and protect AWS network hosts and their configurations.

The position offers an opportunity to work with cutting-edge security technologies and handle massive amounts of data to prevent, detect, and mitigate security threats. You'll collaborate closely with Application Security, Threat Intel, Security Operations, and Security Analyst teams to drive security improvements across AWS's more than 100 services, including EC2 and S3.

As a technical leader, you'll be expected to challenge norms, innovate, and develop robust solutions for processing data at scale. While deep security expertise isn't required initially, you'll develop a comprehensive understanding of AWS's security posture and contribute to core technology components that enhance and scale security measures.

The role offers significant growth potential within Amazon's security organization, which is central to maintaining customer trust across all Amazon's products and services. You'll benefit from Amazon's inclusive culture that values diverse experiences and perspectives, ongoing DEI initiatives, and extensive professional development resources.

Working at AWS Security means joining a team that's tackling some of the most complex security challenges in cloud computing. The position offers competitive compensation, comprehensive benefits, and the opportunity to work with talented professionals who are passionate about security. You'll have the chance to make a meaningful impact on AWS's security infrastructure while developing your career in a supportive, learning-oriented environment.

Last updated 3 months ago

Responsibilities For Software Development Engineer, AWS Proactive Security Detective Tooling

Own, drive, and deliver software solutions
Execute against project plans and delivery commitments
Develop relationships with internal and external partner teams
Help establish long-term success strategy for systems, development practices, and operational excellence
Collaborate with peers to ensure strategies align with development teams
Mentor junior and new team members
Build large distributed systems for auditing network hosts
Develop solutions for remediation of network host misconfigurations at AWS-scale

Requirements For Software Development Engineer, AWS Proactive Security Detective Tooling

Java

Python

3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture experience
Experience programming with at least one software programming language
Experience with design patterns, reliability and scaling of new and existing systems

Benefits For Software Development Engineer, AWS Proactive Security Detective Tooling

Medical Insurance

401k

Mental Health Assistance

Medical benefits
Financial benefits
Flexible work hours
Career development and training resources
Inclusive team culture
DEI events and learning experiences

Amazon

Amazon Web Services (AWS) is the world's leading cloud platform providing reliable, scalable, and secure cloud computing services.

Seattle, WA, USA

$129,300 - $223,600

Security

Mid-Level Software Engineer

In-Person

5,000+ Employees

3+ years of experience

Cybersecurity · Enterprise SaaS · Cloud

Amazon

Unique Paths

Data Structures & AlgorithmsMedium

There is a robot on an m x n grid. The robot is initially located at the top-left corner (i.e., grid0). The robot tries to move to the bottom-right corner (i.e., gridm - 1). The robot can only move either down or right at any point in time. Given the two integers m and n, return the number of possible unique paths that the robot can take to reach the bottom-right corner. The test cases are generated so that the answer will be less than or equal to 2 * 109. For example, if m = 3 and n = 7, the expected output is 28. Explain your approach, provide code, and analyze the time and space complexity. Also discuss edge cases and alternative solutions using combinatorics.

Dynamic Programming

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

Describe a time you had a project conflict and how you handled it.

Behavioral

Tell me about a time you ran into a conflict with a project. How did you handle it?

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