The company is looking to solve unique technical challenges at the intersection of real-time optimization and distributed systems for their pricing platform, which impacts millions of drivers' livelihoods and riders' experiences. They need to build infrastructure that powers one of the world's largest marketplace platforms, working with cutting-edge pricing algorithms and ML systems at an unprecedented scale, with direct P&L impact.
Requirements
- Experience with microservices architecture, service mesh, and observability at scale
- Exceptional coding skills in Go and Java, with experience in high-performance system design
- Proven track record of extraordinary impact: Has worked on real-time infrastructure serving 100M+ users, or 1M+ QPS.
- Background in real-time pricing, optimization, platformization (e.g., experimentation platforms), or ML infrastructure
- Track record of operational excellence: incident management, SLA optimization, and system reliability
Responsibilities
- Partner with Marketplace, Data Science, and Product teams to build a unified infrastructure supporting pricing algorithms and marketplace optimization
- Collaborate with ML Engineering teams to scale model inference and real-time feature serving for pricing decisions
- Partner with Platform Engineering teams to ensure 99.99% availability for critical pricing systems
- Drive innovation in distributed systems design, focusing on low-latency, high-throughput pricing infrastructure
- Mentor junior engineers and grow technical leadership capability across the marketplace organization
Other
- 6+ years of backend industry experience with demonstrated exceptional technical leadership
- Master Degree
- Open-source contributions
