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
Company size10,000+ people
First seenOct 18, 2026 · 2w 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 experiment analysis workflows (A/B, quasi-experimental, marketplace simulations) at scale
Professional experience with feature-flag and progressive-delivery systems (e.g. internal rollout platforms)
Skills
Go
Java
Python
Pandas
PySpark
Spark
Scala
Jupyter Notebooks
Cadence
Benefits
Equity
Bonuses
About the Role
What we do
The Experimentation team provides cutting edge tooling and methodologies for all teams at Uber to make rapid decisions for their product iterations. Experimentation is an exciting domain that combines multiple disciplines of Software Engineering (Backend, Distributed Systems, Mobile, Web, Data Infra), Data Science, and Product Design.
Every major launch across any of Uber’s Rides, Delivery, Earner, Freight, and Uber For Business (U4B) organizations leverages the Experimentation platform to determine how new features impact key business metrics. Virtually all Engineers, Scientists, and Product Managers at the company use our platform on a daily basis to launch, monitor, test, and make changes to Uber’s ecosystem.
Why it matters
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Velocity with Confidence: By automating experiment design, rollout, and analysis, we reduce the cost of iteration and let teams validate the impact of features our members love.
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Company Wide Reach: Virtually every engineer, data scientist, and product manager touches our platform daily to launch, monitor, and refine Uber’s ecosystem.
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Business Impact at Scale: Decisions backed by our tooling safeguard core metrics while empowering innovators to push boundaries.
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 experiment analysis workflows (A/B, quasi-experimental, marketplace simulations) at scale.
•
Python, Pandas, PySpark
•
Data Pipelines (e.g. Spark, Scala)
•
Jupyter Notebooks
•
Professional experience with feature-flag and progressive-delivery systems (e.g. internal rollout platforms)
What the Candidate Will Do
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Be responsible for the design, implementation, and delivery of complex projects
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Build highly reliable and resilient features in our Go Backend microservices and Go + Java core evaluation libraries
•
Work on high scale Tier 1 microservices & libraries processing 10M+ evaluations per second
•
Utilize Cadence to orchestrate configuration updates in CRUD backend services
•
Collaborate with cross-functional teams to enable and support the business
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Identify and fix bugs to improve the reliability of current systems
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Utilize software development best practices to ensure team owned systems, libraries, and microservices are reliable (monitoring, alerting, logging, etc)
•
Design and document architectural solutions to complex engineering problems
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Bring in your passionate self and positively impact the team around you
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.