UB
UberSoftware Engineer II
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Before you apply
SalaryNo pay range posted
LocationSan Francisco, CA, United States
Work modehybrid
Typefull-time
SeniorityMid
Experience2+ yrs
DepartmentEngineering
EquityIncluded
Company size10,000+ people
First seenOct 22, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
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)
Experience developing internal tooling used by Ops, Engineers, Finance, Scientists
Skills
Go
Java
Python
Pandas
PySpark
Spark
Scala
Jupyter Notebooks
Hive
React
AWS
PostgreSQL
Benefits
Bonuses
Equity
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.
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.
Benefits
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.
Legal
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.