Senior Infrastructure Engineer - Global-Scale Systems & AI

Meta; Richmond (VA); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta seeks experienced engineers to join teams building cutting-edge products that connect billions of people. You will work on complex technical problems, create new features, and improve existing products across mobile and web platforms.

Lead initiatives, mentor peers, and own critical components while advancing AI-enabled workflows. The role emphasizes collaboration, scalable architectures, and delivering high-quality code through rigorous reviews and testing.

Qualifications

• Experience driving change within an organization and leading complex technical projects
• Bachelor's degree in CS/engineering or equivalent practical experience
• 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD

Responsibilities

• Collaborate with cross-functional teams to build innovative application experiences
• Implement custom user interfaces using latest programming techniques and technologies
• Analyze and optimize code for quality, efficiency, and performance; provide feedback during code reviews
• Set direction and goals for teams; lead major initiatives; mentor peers and onboard new members
• Architect efficient and scalable systems for complex applications
• Identify and resolve performance and scalability issues; drive large efforts to reduce technical debt
• Work on a variety of coding languages and technologies
• Establish ownership of components, features, or systems with end-to-end understanding

Skills

Cross-functional collaboration

UI development

Code reviews & mentoring

System architecture

Performance optimization

Multiple languages

Technical leadership

End-to-end ownership

Education

Bachelor's degree in Computer Science or related field

Tools

C

C++

Java

Python

JavaScript

Hack

Job description

Meta seeks experienced engineers to join teams building cutting-edge products that connect billions of people. You will work on complex technical problems, create new features, and improve existing products across mobile and web platforms.

Lead initiatives, mentor peers, and own critical components while advancing AI-enabled workflows. The role emphasizes collaboration, scalable architectures, and delivering high-quality code through rigorous reviews and testing.