As a senior infrastructure technical leader in Ads Infra and Ranking, you will define the long-term technical strategy for distributed systems across organizations, from data and features through training, retrieval, and serving. You will align organizations on foundational platform changes that improve reliability, performance, and compute efficiency across Ads.
Responsibilities
Define a multi-year architecture and technical strategy for Ads platforms across organizations, connecting shorter-term projects to a long-term systems vision.
• Identify new technical directions, such as hardware and software co-design, and lead cross-organizational efforts to deliver them.
• Act as a technical authority on the hardest reliability, scalability, and efficiency problems across Ads platforms.
• Use production data to identify structural bottlenecks and communicate architectural trade-offs to engineering and executive leaders.
• Mentor and develop senior engineers and technical leaders across organizations, improving maintainability and safe delivery.
• Follow company policies and applicable risk reviews when designing and deploying ML systems, document relevant decisions, and raise compliance or ethics concerns through appropriate channels.
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 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
• Experience leading projects with industry-wide impact
• Significant experience in mentoring/influencing engineers across organizations
Preferred Qualifications
• Experience shaping architecture and technical direction for distributed services or data platforms behind advertising, business-facing, or analogous large-scale products
• Experience aligning engineering organizations on shared service interfaces and platform foundations for dependable product integration
• Experience diagnosing systemic correctness, reliability, or performance issues across server applications and distributed services
• Experience applying knowledge of operating systems or runtime behavior to relevant service performance and reliability problems
• Experience connecting long-term infrastructure roadmaps to customer-facing product needs and maintainable operations
• 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)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies"
