Software Engineer (Technical Leadership)

About

Meta is seeking an experienced Software Engineer to join the Software Engineering (Infrastructure) team. The Software Engineering (Infrastructure) team builds large distributed components that run Facebook. Our code serves millions of requests per second and it does so with sub-second latency and in a fault-tolerant manner. We handle everything from Facebook scale data storage, to synchronization and coordination of large server clusters, to providing a runtime environment for front end Facebook code. We are looking for candidates who share a passion for tackling complexity and building platforms that can scale through multiple orders of magnitude.

Responsibilities

• Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
• Effectively communicate complex features and systems in detail
• Understand industry & company-wide trends to help assess & develop new technologies
• Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
• Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
• Lead long term technical vision and roadmap for large cross-company efforts
• Suggest, collect and synthesize requirements and create an effective feature roadmap

Minimum Qualifications

• Vast experience communicating and working across functions to drive solutions
• 12+ years coding experience in C, C++, Java and/or C#
• 12+ years experience building server applications
• Experience in driving large cross-functional/industry-wide engineering efforts
• Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term vision
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Experience leading projects with industry-wide impact
• Significant experience in mentoring/influencing engineers across organizations Experience with operating system internals, file systems, programming language design, or compilers
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies