Senior Software Engineer - Delivery Matching

About the Team

The Deliverability team sits at the core of Uber’s delivery marketplace as part of Merchant Optimization. Our mission is to transform mature, product-specific deliverability logic into a high-performance, highly scalable, and unified platform.

Serving as the critical gating layer for every Uber Eats transaction, our systems answer the fundamental real-time question: "Can this merchant deliver to this eater right now?" We evaluate this continuously across storefront browsing, checkout, and order creation globally.

We optimize merchant delivery zones to maximize platform selection while balancing reliability and profitability. The real-time decisions made by our Tier 1 backend services directly shape the selection breadth for key downstream platforms, including Search, Feed, and Ads.

Role & Responsibilities

As a Senior Backend Engineer on the Deliverability team, you will:

• Architect Extensible APIs: Lead the end-to-end design and execution of core platform services.
• Orchestrate High-Throughput Systems: Solve complex architecture challenges by designing robust workflow orchestration across deep, multi-tiered downstream service dependencies.
• Drive Low-Latency Performance: Design and implement multi-layered, distributed caching strategies to minimize latency and optimize load across high-concurrency microservices.
• Champion Observability & Reliability: Define key metrics and operational telemetry using dashboards (such as Grafana), and multi-tiered alerting to ensure mission-critical service availability across millions of daily orders.
• Lead Cross-Functional Alignment: Partner with product managers and engineering teams across Marketplace to establish technical standards, align on API contracts, and deliver high-impact technical roadmaps.

Basic Qualifications

• 3+ years of professional full-time software engineering experience building scalable backend platforms.
• Strong proficiency in modern backend languages, preferably Go, Java, C++, or Python.
• Deep understanding of high-throughput, low-latency microservice architectures, RESTful APIs, and gRPC/Protobuf protocols.
• Hands-on expertise with advanced caching mechanisms, concurrency control, and distributed state management.

Preferred Qualifications

• Experience designing workflow orchestration engines or managing intricate multi-service dependencies.
• Familiarity with geospatial indexing systems, mapping, or geofencing libraries (e.g., H3, S2Cell).
• Demonstrated expertise in telemetry, distributed tracing, performance monitoring, and managing high-concurrency production incidents.
• Proven ability to lead cross-functional technical initiatives and deliver multi-phase engineering projects.
• Exposure to large-scale data engineering pipelines or foundational machine learning concepts.

For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.