Overview
On Site
USD 198,000.00 - 220,000.00 per year
Full Time
Skills
Technical Direction
Management
Profit And Loss
Data Science
Algorithms
Optimization
Collaboration
Machine Learning (ML)
Innovation
Pricing
Mentorship
IT Management
Microservices
Java
Systems Design
Real-time
Job Details
About the Role
You'll be working on a platform that directly affects millions of drivers' livelihoods and riders' experiences every day. Our pricing systems process billions of real-time decisions, balancing marketplace efficiency, driver earnings, and rider satisfaction. You'll have the opportunity to:
1. Solve unique technical challenges at the intersection of real-time optimization and distributed systems
2. Build infrastructure that powers one of the world's largest marketplace platforms
3. Work with cutting-edge pricing algorithms and ML systems that operate at unprecedented scale
4. Shape the technical direction of critical business infrastructure with direct P&L impact
What the Candidate Will Need / Bonus Points
\\-\\-\\-\\- What the Candidate Will Do ----
1. Partner with Marketplace, Data Science, and Product teams to build a unified infrastructure supporting pricing algorithms and marketplace optimization
2. Collaborate with ML Engineering teams to scale model inference and real-time feature serving for pricing decisions
3. Partner with Platform Engineering teams to ensure 99.99% availability for critical pricing systems
4. Drive innovation in distributed systems design, focusing on low-latency, high-throughput pricing infrastructure
5. Mentor junior engineers and grow technical leadership capability across the marketplace organization
\\-\\-\\-\\- Basic Qualifications ----
1. 6+ years of backend industry experience with demonstrated exceptional technical leadership
2. Experience with microservices architecture, service mesh, and observability at scale
3. Exceptional coding skills in Go and Java, with experience in high-performance system design
4. Proven track record of extraordinary impact: Has worked on real-time infrastructure serving 100M+ users, or 1M+ QPS.
\\-\\-\\-\\- Preferred Qualifications ----
1. Master Degree
2. Background in real-time pricing, optimization, platformization (e.g., experimentation platforms), or ML infrastructure
3. Open-source contributions
4. Track record of operational excellence: incident management, SLA optimization, and system reliability
For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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. You will also be eligible for various benefits. More details can be found at the following link [](;br>
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](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
You'll be working on a platform that directly affects millions of drivers' livelihoods and riders' experiences every day. Our pricing systems process billions of real-time decisions, balancing marketplace efficiency, driver earnings, and rider satisfaction. You'll have the opportunity to:
1. Solve unique technical challenges at the intersection of real-time optimization and distributed systems
2. Build infrastructure that powers one of the world's largest marketplace platforms
3. Work with cutting-edge pricing algorithms and ML systems that operate at unprecedented scale
4. Shape the technical direction of critical business infrastructure with direct P&L impact
What the Candidate Will Need / Bonus Points
\\-\\-\\-\\- What the Candidate Will Do ----
1. Partner with Marketplace, Data Science, and Product teams to build a unified infrastructure supporting pricing algorithms and marketplace optimization
2. Collaborate with ML Engineering teams to scale model inference and real-time feature serving for pricing decisions
3. Partner with Platform Engineering teams to ensure 99.99% availability for critical pricing systems
4. Drive innovation in distributed systems design, focusing on low-latency, high-throughput pricing infrastructure
5. Mentor junior engineers and grow technical leadership capability across the marketplace organization
\\-\\-\\-\\- Basic Qualifications ----
1. 6+ years of backend industry experience with demonstrated exceptional technical leadership
2. Experience with microservices architecture, service mesh, and observability at scale
3. Exceptional coding skills in Go and Java, with experience in high-performance system design
4. Proven track record of extraordinary impact: Has worked on real-time infrastructure serving 100M+ users, or 1M+ QPS.
\\-\\-\\-\\- Preferred Qualifications ----
1. Master Degree
2. Background in real-time pricing, optimization, platformization (e.g., experimentation platforms), or ML infrastructure
3. Open-source contributions
4. Track record of operational excellence: incident management, SLA optimization, and system reliability
For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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. You will also be eligible for various benefits. More details can be found at the following link [](;br>
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](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.