The Engineering Manager for the Grocery & Retail Consumer Ranking team at Uber will lead the development of the online ranking architecture and high-throughput serving stack. This role focuses on creating seamless shopping experiences for users by optimizing backend infrastructure and integrating advanced machine learning models. The manager will oversee a team of engineers, driving initiatives to improve system performance and reliability while ensuring operational excellence. Collaboration with Data Science and ML Engineering is essential to integrate state-of-the-art models into a production environment.

• 10+ years in software engineering with a focus on high-traffic backend systems.
• 4+ years of engineering management experience.
• Deep experience in distributed systems, API/service design, and high-scale production serving.
• Proven track record in managing SLOs/SLAs, incident response, and performance/latency optimization.
• Experience delivering ML-backed services and partnering with Data Science and ML Engineering.

• Lead the team of backend and ML engineers owning the online ranking serving stack.
• Define, prioritize, and execute an ambitious product roadmap through strong people leadership.
• Lead high-impact initiatives to improve p99 latency and infra-cost efficiency.
• Oversee the development of real-time and batch pipelines for online/offline consistency.
• Lay out the multi-quarter roadmap for ranking infrastructure and drive architectural migrations.
• Champion a strong engineering culture of on-call health and post-mortems.
• Build and extend automated experimentation capabilities with guardrails and logging.

• Employees at Uber are often offered comprehensive health, life, disability, and mental wellness benefits, along with wellbeing stipends, travel medical coverage, and monthly Uber credits for Rides and Eats. Employees also get generous paid parental leave, flexible time off, and family-planning support so they can care for themselves and their families at every stage.