Software Engineer II

Uber Technologies Inc.; Sunnyvale (CA); On-site; USD 171,000 - 190,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber Technologies Inc. in Sunnyvale, CA is seeking a software engineer to join the Lever Efficiency team.

You will help build data pipelines and backend services that measure and optimize how Uber allocates billions of dollars across courier incentives, pricing, fees, and promotions. You will collaborate with data scientists, product, operations, and finance to turn experiments into trustworthy numbers and interactive dashboards, while shipping full-stack features and maintaining production

Qualifications

• Bachelor's or Master's in CS or related field, or equivalent experience.
• 2+ years of professional software development in production environments.
• Proficient in Go, Java, or Python with clean, efficient code.
• Experience debugging in production-scale environments.
• Strong knowledge of distributed systems, caching, sharding, fault tolerance, observability, and incident response.
• Excellent written and verbal communication skills.

Responsibilities

• Build and own data pipelines (Spark, Hive, scheduled workflows) that recompute lever-efficiency estimates from experiment and marketplace data every week.
• Build backend services and APIs in Go that store and serve efficiency estimates and budget recommendations.
• Ship full-stack features in the web app: interactive dashboards and a budget allocation tool used by Operations, Finance, Product, and Science.
• Work with data scientists to turn notebook prototypes into production code, including confidence intervals and forecasts.
• Work with Uber's experimentation platform to run experiments that test budget moves and automate reading results into the dashboard.
• Take features from design to launch: write design docs, review code, test, monitor production, and participate in on-call.
• Document methodology and system design so partners can trust and reuse the numbers.

Skills

Go

Java

Python

Distributed systems

Debugging production

Engineering best practices

Communication skills

Education

Bachelor's or Master's in CS or related field

Tools

Python

Pandas

PySpark

Spark

Scala

Jupyter Notebooks

Job description

About the Role

What we do

Delphi, Uber's Lever Efficiency team, builds the system Uber uses to recommend how to invest billions of dollars per year across its marketplace supply and demand levers: courier pricing (supply), courier incentives (supply), delivery and service fees (demand), user promotions (demand), etc. Starting with Uber's Delivery Marketplace business, we turn experiment results into a measure of each lever's incremental value in a common currency and publish it in a dashboard that refreshes automatically. We're also building a budget allocation tool that recommends how to move budget between levers. We work day to day with data scientists, product, operations, and finance.

Why it matters

Today each lever spends against its own budget target, even after it starts hitting diminishing returns. A trusted, comparable measure of what each lever returns lets Uber move money to where it does the most good: more reliable deliveries for customers, more earning opportunities for couriers, and more long-term growth for every dollar spent. The hard part is making the numbers trustworthy enough that Operations and Finance leaders act on them. Then the recommendations have to be proven with well-designed experiments. That's the system you'll help build.

Basic Qualifications

• Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience in an engineering related bootcamp
• 2+ years of experience in professional software development experience, developing and deploying systems in production environments
• Proven skills writing efficient, clean code in Go, Java, or Python
• Ability to debug and fix software bugs in a production scale environment
• Experience with software engineering best practices
• Strong grasp of distributed-systems fundamentals: caching, sharding, consensus, fault tolerance, observability, and incident response
• Excellent written and verbal communication skills, including the ability to document architectures and algorithms

Preferred Qualifications

• Advanced coursework or industry background in statistics, causal inference, or experimental design.
• Direct ownership of analysis workflows (A/B, quasi-experimental, marketplace simulations) at scale.
  • Python, Pandas, PySpark
  • Data Pipelines (e.g. Spark, Scala)
  • Jupyter Notebooks
• Fullstack development experience (BE, FE, Data Pipelines), this project involves a full suite of development surfaces across UI, backend, and data.
• Experience developing internal tooling used by Ops, Engineers, Finance, Scientists, etc.

What the Candidate Will Do

• Build and own data pipelines (Spark, Hive, scheduled workflows) that recompute lever-efficiency estimates from experiment and marketplace data every week. Include data-quality checks, freshness alerts and backfills.
• Build backend services and APIs in Go that store and serve efficiency estimates and budget recommendations.
• Ship full-stack features in the web app: interactive dashboards and a budget allocation tool used by Operations, Finance, Product, and Science.
• Work with data scientists to turn notebook prototypes into production code. This includes confidence intervals, corrections for network effects, forecasts, and an optimizer that moves budget between levers within real constraints, such as fixed total spend and capped weekly changes.
• Work with Uber's experimentation platform to run experiments that test budget moves (switchbacks, geo experiments, synthetic control), and automate reading their results into the dashboard.
• Take features from design to launch: write design docs, review code, test, monitor production, and take part in on-call.
• Document methodology and system design so partners can trust and reuse the numbers.

For San Francisco, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 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.