Software Engineer II

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 • 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. • Company Wide Reach : Virtually every engineer, data scientist, and product manager touches our platform daily to launch, monitor, and refine Uber's ecosystem. • 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 • Be responsible for the design, implementation, and delivery of complex projects • 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 • Identify and fix bugs to improve the reliability of current systems • 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 • Bring in your passionate self and positively impact the team around you 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 benefi