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Software Engineer; Technical Leadership

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Meta
Full Time position
Listed on 2026-08-30
Job specializations:
  • Software Development
    Software Engineer, AI Engineer (Applied/Software), Backend Developer, Software Architect
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below
Position: Software Engineer (Technical Leadership)

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.

  • 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
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