Senior Full-Stack Engineer: Global-Scale Apps & AI

Meta; Menlo Park (CA); On-site; USD 220,000 - 320,000; Full time

Job summary

Meta is seeking experienced full-stack software engineers to join product teams working on Facebook/Meta platforms. You will help build scalable features, mentor engineers, and lead cross-functional initiatives that impact billions of users globally.

The role emphasizes multi-year roadmaps, AI tool adoption, and responsible AI practices, with a focus on delivering high-quality products across web and mobile platforms.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience
• Experience communicating and working across functions to drive solutions
• Experience mentoring/influencing engineers across organizations
• 12+ years of experience with building large-scale applications, or similar
• Proven track record of planning multi-year roadmap aligning short-term projects to long-term vision
• 8+ years of experience with web or mobile technologies
• Experience leading projects with industry-wide impact
• 12+ years of programming experience
• Experience driving large cross-functional/industry-wide engineering efforts
• Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact
• Experience implementing responsible, ethical AI practices and ongoing AI skill development

Skills

Cross-functional leadership

Large-scale systems

Roadmap planning

Web/mobile development

Programming experience (12+ years)

AI tooling adoption

Ethical AI

Mentoring engineers

Cross-organizational collaboration

Engineering large projects

Education

Bachelor's degree in Computer Science / Engineering

Job description

Meta is seeking experienced full-stack software engineers to join product teams working on Facebook/Meta platforms. You will help build scalable features, mentor engineers, and lead cross-functional initiatives that impact billions of users globally.

The role emphasizes multi-year roadmaps, AI tool adoption, and responsible AI practices, with a focus on delivering high-quality products across web and mobile platforms.