Software Engineer, Infrastructure (Technical Leadership)

Meta is seeking talented principal engineers to join our Central Integrity team, which exists to keep billions of people safe on Meta’s platforms. We design and deploy systems that detect and disrupt harm at an unprecedented global scale, making this one of the largest deployments of AI for positive real-world impact anywhere in the industry. Our work safeguards critical areas, including child and youth safety, fraud and scams, identity and authenticity, and more, while actively building defenses against novel frontier threats, such as autonomous AI agents and automated risk vectors. This represents some of the most technically demanding and high-stakes engineering and product at Meta, driven by a deeply mission-focused team. You’ll combine strong engineering fundamentals with cutting-edge AI to build effective, adaptable solutions that stay ahead of evolving integrity and safety risks. If you are driven by hard technical challenges and want your work to deliver immediate, real-world impact, this is the right role for you., 4. Partner and collaborate with organization leaders to help improve the level of performance of the team and organization

1. Identify new opportunities for the larger organization and influence the appropriate people for staffing and prioritizing these new ideas
2. Lead long-term technical vision and roadmap for large cross-company efforts
3. Suggest, collect and synthesize requirements and create an effective feature roadmap
4. Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt

Software Engineer, Infrastructure (Technical Leadership) Responsibilities:

1. Drive the team’s goals and technical direction to pursue opportunities that make your larger organization more efficient
2. Effectively communicate complex features and systems in detail
3. Understand industry and company-wide trends to help assess and develop new technologies, 9. Experience mentoring/influencing executive stakeholders across organizations
4. Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
5. Experience driving large cross-functional, industry-wide engineering efforts
6. Experience communicating and working across functions to drive solutions
7. Proven track record of planning multi-year roadmaps in which short-term projects ladder to the long-term mission, 14. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
8. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
9. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
10. 8+ years relevant experience building large-scale infrastructure applications or similar experience
11. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
12. Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
13. Experience in programming languages such as C, C++, or Java, and scripting languages such as Python, JavaScript, or Hack