Security Engineer, Investigations - i3E

Meta

Meta builds technologies that help people connect, find communities, and grow businesses through social platforms like Facebook, Instagram, WhatsApp, and virtual reality experiences.

London, UK

Security

Senior Software Engineer

In-Person

5,000+ Employees

5+ years of experience

Cybersecurity

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Description For Security Engineer, Investigations - i3E

Meta's Integrity, Investigations, Intelligence and Events (i3E) teams are seeking a Security Engineer to protect users across Facebook, Instagram, WhatsApp, and Oculus from sophisticated threats. This role combines investigative expertise with engineering skills to combat criminal organizations, human trafficking, and fraud. You'll work on high-impact security challenges, developing automated solutions and conducting complex investigations using advanced data analysis techniques.

The position requires a unique blend of technical prowess and investigative skills, where you'll leverage various data sources and intelligence tools to identify and disrupt threats. You'll be working with cutting-edge technology and big data tools while contributing to Meta's mission of protecting billions of users worldwide.

As a Security Engineer, you'll be part of a global team tackling some of the most challenging security issues in social technology. The role offers opportunities to develop innovative solutions, automate investigative processes, and make a real-world impact in fighting cyber threats. You'll work in Meta's dynamic environment, collaborating across teams and time zones to protect users from both online and offline harm.

The ideal candidate brings strong technical skills in Python or PHP, experience with security investigations, and the ability to analyze complex datasets. This challenging role offers the opportunity to work on critical security issues at a global scale while contributing to Meta's mission of connecting people safely and securely.

Last updated 3 months ago

Responsibilities For Security Engineer, Investigations - i3E

Proactively hunt for threats and undetected abuse using internal data, open-source intelligence, and third party private intelligence
Investigate complex cases to understand abuse and implement enforcement strategies
Identify areas to automate investigative tooling and tradecraft
Analyze and interpret large datasets to advance investigations
Implement effective strategies to prevent and disrupt abuse at scale
Address sensitive content issues and objectionable material

Requirements For Security Engineer, Investigations - i3E

Python

PHP

5+ years work experience in cyber security, private sector security investigations and intelligence, government, and/or intelligence
Subject matter expertise with malware and/or account-based threats
Experience working with Python, PHP or similar scripting languages
Experience with big data tools such as Maltego, Palantir, Tableau
Track record of effective communication and presenting technical findings
Experience prioritizing and executing with minimal direction
Experience working with a team spanning multiple locations/time zones
BS/MS or equivalent experience in Computer Science, Information Systems, Intelligence Studies, Cybersecurity or related field

Meta

Meta builds technologies that help people connect, find communities, and grow businesses through social platforms like Facebook, Instagram, WhatsApp, and virtual reality experiences.

London, UK

Security

Senior Software Engineer

In-Person

5,000+ Employees

5+ years of experience

Cybersecurity

Meta

Explain stacks and queues with code examples.

Data Structures & AlgorithmsMedium

Describe the difference between a stack and a queue. Provide an example of when you might use each data structure. Write functions to implement the push and pop methods for a stack and the enqueue and dequeue methods for a queue. Explain the time complexity of each of these operations. Additionally, discuss a scenario where you might need to implement a stack using a queue or a queue using a stack.

Stacks

Arrays

Linked Lists

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Design a URL shortening system like TinyURL.

System DesignMedium

Let's design a system for URL shortening, like TinyURL. Consider the following: Functional Requirements: Users should be able to enter a long URL and get a shorter URL. Users should be able to access the original URL by visiting the shortened URL. The system should be highly available and handle a large number of requests. Analytics: Track the number of times a shortened URL is accessed. Non-Functional Requirements: The system should have low latency for both URL shortening and redirection. The shortened URLs should be relatively short. The system should be reliable and fault-tolerant. Considerations: How would you handle collisions (when two different long URLs map to the same short URL)? How would you design the data store to efficiently handle a large number of URLs? How would you scale the system to handle a large number of requests? What algorithms could be used for generating the short URLs? Discuss the trade-offs. Walk me through the architectural components, data model, and scaling strategies for this URL shortening service. For instance, if a user inputs https://www.example.com/very/long/path/to/resource, the system might generate a short URL like https://short.url/xyz123. When a user visits https://short.url/xyz123, they should be redirected to the original URL.

Arrays

Strings

Database Problems

Graphs

Dynamic Programming

Greedy Algorithms

Bit Manipulation

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Describe a time you diagnosed and resolved a significant memory leak issue in a C++ application.

Behavioral

Could you describe a situation where you faced a significant memory leak issue in a C++ application and how you diagnosed and resolved it? Please walk me through the tools and techniques you used, the challenges you encountered, and the ultimate solution you implemented. For example, imagine you're working on a large-scale C++ application for processing high-volume financial transactions. The application is experiencing performance degradation over time, eventually leading to crashes. After initial investigation, you suspect a memory leak. Describe your approach to identifying the source of the leak. Consider discussing the specific tools you might employ, such as memory profilers (e.g., Valgrind, AddressSanitizer), debugging techniques (e.g., heap analysis), and code review strategies. What were some of the initial hypotheses you formed, and how did you validate or refute them? What were the key code areas you focused on based on your initial findings? Furthermore, explain any specific coding practices or patterns that contributed to the leak (e.g., improper use of smart pointers, forgetting to release dynamically allocated memory). How did you correct these issues, and what steps did you take to prevent similar leaks from occurring in the future? Did you implement any automated testing or monitoring to detect memory leaks early on? Finally, reflect on any lessons learned from this experience and how it has shaped your approach to memory management in C++.

Database Problems

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