Senior Software Engineer - Marketplace Real Time Supply Intelligence

Uber; Montreal; On-site; CAD 164,000 - 182,000; Full time

Job summary

A leading mobility service provider is seeking a Senior Software Engineer to design and scale real-time dynamic pricing systems. You will optimize large-scale environments that handle significant traffic. Exceptional technical background and experience in distributed systems are key for this mid-senior level position. Competitive salary and benefits are offered, including a bonus program and equity awards.

Benefits

Equity awards

Bonus program

Comprehensive benefits

Qualifications

• 4+ years of industry experience with demonstrated impact.
• Background at leading technology firms known for infrastructure.
• Track record of working on real-time systems serving millions.

Responsibilities

• Build a unified infrastructure supporting pricing algorithms.
• Collaborate with ML teams to scale model inference.
• Drive innovation in distributed systems design.

Skills

Expert-level experience with large-scale distributed systems

Exceptional coding skills in Go and Java

Proficiency in real-time streaming

Strong collaboration skills

Education

Computer Science degree or equivalent

Tools

Kafka

Flink

Spark

MySQL

Job description

Senior Software Engineer - Marketplace Real Time Supply Intelligence

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About The Role

We're looking for a highly skilled Senior Engineer to help design and scale the technical infrastructure behind Uber's real-time dynamic pricing systems, which serve millions of riders and drivers worldwide.

In this role, you'll build and optimize large-scale, low-latency systems that power pricing decisions across Uber's marketplace. You'll work on infrastructure that handles over 1 million QPS, ensuring pricing is accurate, timely, and resilient in the face of real-world volatility. You'll collaborate closely with engineers across platform, ML modeling, and data teams to implement performant, reliable, and maintainable services.

This is a unique opportunity to tackle technically challenging problems at the intersection of real-time distributed systems, optimization, and ML, while contributing directly to Uber's core platform efficiency and driver earnings.

What The Candidate Will Need / Bonus Points

What the Candidate Will Do

• Partner with Marketplace Product and science teams to build a unified infrastructure supporting pricing algorithms iterations 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, and contribute to multi-quarter 'Pricing as a Platform' initiatives to enhance marketplace efficiency, pricing reliability, and developer velocity.
• Drive innovation in distributed systems design, focusing on low-latency, high-throughput pricing infrastructure
• Mentor junior engineers and contribute to raising the technical bar across your immediate team and adjacent pricing teams.

Basic Qualifications

Exceptional Technical Background

• Computer Science degree or equivalent technical education
• 4+ years of industry experience with demonstrated exceptional technical impact.
• Background at leading technology companies known for world-class infrastructure (Meta, Amazon, Databricks, TikTok, Google, Netflix, Airbnb, or similar scale)
• Proven track record of extraordinary impact: Worked on real-time infrastructure serving 100M+ users, or 1M+ QPS, achieved 10x+ performance improvements, and breakthrough technical innovations

Deep Technical Expertise

• Expert-level experience with large-scale distributed systems, handling millions of QPS
• Proficiency in real-time streaming and batch processing (e.g., Kafka, Flink, Spark) and low-latency data systems
• Advanced knowledge of database technologies (e.g., MySQL, Hive, Redis) and caching strategies
• Experience with microservices architecture, service mesh, and observability at scale
• Exceptional coding skills in Go and Java, with experience in high-performance system design

Preferred Qualifications

• Background in real-time pricing, optimization, platformization (e.g., experimentation platforms), or ML infrastructure
• Open-source contributions
• Experience with cloud infrastructure (e.g., AWS, OCI, GCP) and infrastructure-as-code
• Track record of operational excellence: incident management, SLA optimization, and system reliability

For Canada-based roles: The base salary range for this role is CAD$164,000 - CAD$182,000 per year. You will be eligible for Uber's bonus program, equity awards, and other benefits. More details can be found at Uber Careers Benefits.

Additional Details

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: Internet, Marketplace Platforms

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