Join Meta’s Central Security team and help manage risk across critical security domains. You’ll build automated and autonomous security systems powered by AI/ML, working across areas such as Identity and Access Management, Product Security, Threat Detection, and Detection & Response. This onsite role is based in Seattle, WA, with a salary range of USD 183,997 - 257,000 per year.
What you’ll build
You will architect secure, efficient, and scalable systems that support complex applications, establishing clear ownership for components, features, or systems with end-to-end understanding. The work involves analyzing and optimizing code for security, quality, efficiency, and performance, and addressing security, performance, and scalability issues while reducing technical debt through large efforts.
Responsibilities
- Collaborate with cross-functional partners across product, design, operations, and infrastructure to deliver innovative application experiences
- Implement custom user interfaces using current programming techniques and technologies
- Drive improvement through code reviews by analyzing and providing feedback on security, quality, efficiency, and performance
- Set direction and goals, lead major initiatives, and provide technical guidance and mentorship while helping onboard new team members
- Identify and resolve issues related to security, performance, and scalability, and lead work to reduce technical debt
- Work across a variety of coding languages and technologies
- Establish ownership of components, features, or systems using expert, end-to-end understanding
Requirements
- Programming experience in a relevant language
- Proven experience driving change in an organization and leading complex technical projects
- Experience using data and analysis to explain technical problems and provide detailed feedback and solutions
Preferred qualifications
- Experience with languages such as C, C++, Java, or Rust, plus scripting languages like Python, JavaScript, or Hack
- Experience implementing responsible, ethical AI practices (for example, risk assessment, bias mitigation, and quality/accuracy reviews)
- Demonstrated ability to integrate AI tools to optimize or redesign workflows with measurable impact (such as efficiency gains or quality improvements)
- Ongoing AI skill development (for example, prompt/context engineering and agent orchestration) and staying current with emerging AI technologies
- 6+ years of relevant experience securing large-scale infrastructure applications (or similar)
- Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
Technologies you may work with
- AI/ML, C, C++, Java, Rust, Python, JavaScript, Hack
Accommodations: Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need assistance or accommodations due to a disability, contact accommodations-ext@meta.com.
