Sr Software Engineer - Matching Platform

Uber; Seattle (WA); On-site; USD 202,000 - 224,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber Technologies Inc. is seeking a Senior Software Engineer to own architecture, scalability, and operational excellence for core dispatching systems. You will collaborate with product, infra, data science, and ML teams to evolve a low-latency platform balancing real-time marketplace dynamics.

You will drive performance, capacity planning, and resilience across high-traffic production environments while mentoring engineers and leading cross-functional initiatives.

Qualifications

• 5+ years of professional software engineering experience building production systems.
• Strong proficiency in at least one modern backend programming language (Go, Java, C++, or Python).
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent professional experience).

Responsibilities

• Design and scale real-time systems with multi-million ride requests per second and sub-10 ms latency.
• Modularize the platform with domain-driven abstractions and APIs for rapid marketplace innovations.
• Bridge systems and ML by integrating real-time inference for pricing, ETA, and matching.
• Optimize marketplace health with cross-functional collaboration on efficiency, liquidity, driver fairness, and rider reliability.
• Drive engineering excellence through performance profiling, capacity planning, and chaos testing.

Skills

5+ years engineering experience

Backend programming (Go/Java/C++/Py)

Distributed systems

Low-latency systems

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

Cassandra

MySQL

Redis

Apache Kafka

Apache Flink

Job description

About the Team

TheMatching Platform team sits at the very heart of Uber's global real-time marketplace. Every second, millions of riders and drivers around the world rely on our platform to connect seamlessly, reliably, and fairly.

Matching is one of the most intellectually challenging and mission-critical engineering domains at Uber. We operate at the intersection of high-throughput distributed systems, dynamic geospatial routing, combinatorial optimization, and production machine learning infrastructure. As aSenior Software Engineer, you will design the foundation for our next-generation dispatch and matching platform, directly influencing marketplace efficiency, driver earnings, and rider experience at massive global scale.

About the Role

In this role, you will take ownership of the architecture, scalability, and operational excellence of Uber's core dispatching systems. You will collaborate across product, infrastructure, data science, and applied machine learning teams to evolve a low-latency platform that balances real-time marketplace dynamics under stringent P99 SLA targets.

What You'll Do

• Design and Scale Real-Time Systems: Architect distributed, fault-tolerant services capable of processing millions of ride requests per second with single-digit millisecond latency.
• Modularize the Platform: Build extensible, domain-driven abstractions and APIs that allow product teams to launch new marketplace innovations without complex architectural rewrites.
• Bridge Systems and ML: Integrate production machine learning models and real-time inference pipelines into the critical serving path for dynamic pricing, ETA estimation, and batch matching.
• Optimize Marketplace Health: Collaborate with algorithms and economics teams to implement solutions that balance efficiency, network liquidity, driver fairness, and rider reliability.
• Drive Engineering Excellence: Lead performance profiling, capacity planning, and chaos testing across high-traffic production environments, raising the bar for system resilience and team best practices.

Basic Qualifications

• 5+ years of professional software engineering experience building production systems.
• Strong proficiency in at least one modern backend programming language (e.g.,Go, Java, C++, or Python).
• Deep understanding of computer science fundamentals: data structures, algorithms, concurrency, and distributed system design.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent professional experience).

Preferred Qualifications

• Distributed Systems at Scale: Proven track record designing, building, and operating high-throughput, low-latency microservices and event-driven architectures.
• Data & Storage Layer Expertise: Deep hands-on experience with distributed databases, caching layers, and storage engines (e.g., Cassandra, MySQL, Redis, Apache Kafka, or Apache Flink).
• ML Serving & Inference: Experience integrating real-time ML inference, feature pipelines, or experimentation platforms into mission-critical production services.
• Performance Engineering: Expertise in distributed profiling, bottleneck identification, memory management, and optimizing P99 latencies under heavy load.
• Collaboration & Technical Leadership: Strong communication skills with a history of mentoring engineers and driving cross-functional technical initiatives from concept to production.

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 Seattle, WA-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.

Ready to Ride?

This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.