Security Engineer
Meta, City of Westminster
Security Engineer
Salary not available. View on company website.
Meta, City of Westminster
- Full time
- Permanent
- Onsite working
Posted 1 week ago, 26 Sep | Get your application in now before you're too late!
Closing date: Closing date not specified
Job ref: 2ed5a8fd2fcb4b168c5bd4602dcb58e1
Location ref: City of Westminster
Full Job Description
Meta's Security Engineering team is seeking a Security Engineer to help protect billions of users and Meta's global infrastructure from evolving threats. In this role, you will conduct security assessments, vulnerability research, and threat modeling across Meta's products and systems - spanning mobile applications, web platforms, backend services, and internal infrastructure. You will identify systemic security gaps, drive mitigations at scale, and partner with engineering teams to embed security best practices into the software development lifecycle. Your work will directly reduce risk for Meta and its users by turning one-off security findings into durable, scalable defenses., 1. Conduct security assessments, penetration testing, and vulnerability research across Meta's web, mobile, and backend systems to identify and remediate security risks
2. Perform threat modeling and security architecture reviews for new and existing products and infrastructure
3. Identify systemic security gaps and drive cross-functional mitigations that scale beyond individual findings
4. Develop and improve security tooling, automation, and detection capabilities to enhance the team's ability to identify and respond to threats
5. Collaborate with product and infrastructure engineering teams to define security requirements and integrate security controls into the software development lifecycle
6. Lead complex security investigations and incident response efforts, coordinating with cross-functional partners to resolve issues and prevent recurrence
7. Translate security findings into actionable, prioritized recommendations for engineering and leadership audiences through clear written documentation
8. Mentor other engineers on security best practices, contribute to team culture, and support recruiting and onboarding efforts
9. Manage oncall security responsibilities independently, triaging and resolving security issues with cross-functional support as needed
10. Identify and land new security initiatives on the team roadmap that address high-complexity, ambiguous risk areas aligned with broader team strategy
11. 6+ years of experience in security engineering, including hands-on work in penetration testing, vulnerability research, or security assessments of web, mobile, or backend systems
12. Experience performing threat modeling and security architecture reviews for large-scale software systems
13. Experience identifying systemic security risks and driving cross-functional remediation efforts that result in scalable, durable improvements
14. Experience developing or improving security tooling, automation, or detection capabilities to support team-level security operations
15. Experience communicating security findings and risk assessments in writing to both technical and non-technical stakeholders, 16. Experience with security automation, static or dynamic analysis tooling, or building internal security platforms
17. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
18. Familiarity with security considerations specific to large-scale distributed systems, mobile platforms (iOS or Android), or cloud infrastructure
19. Experience with offensive security techniques including exploit development, binary analysis, or red team operations
20. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
21. Proficiency in one or more programming or scripting languages (e.g., Python, C/C++, Java) used to develop security tools or analyze vulnerabilities
22. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
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