Software Engineer II: Levers & Budget Optimization Platform

Uber; San Francisco (CA); On-site; USD 171,000 - 190,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Job summary

Uber's Delphi Lever Efficiency team seeks a software engineer to own data pipelines and backend services that compute lever‑efficiency estimates and budget recommendations. You will build Spark/Hive pipelines, Go APIs, and interactive dashboards used by Operations, Finance, Product, and Science.

You will collaborate with data scientists to productionize notebook work, run experiments, and help design scalable systems with strong observability and on-call readiness.

Qualifications

• Bachelor's or Master's degree in Computer Science or related technical field, or equivalent experience.
• 2+ years of professional software development experience.
• 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.

Responsibilities

• Build and own data pipelines (Spark, Hive, scheduled workflows) that recompute lever-efficiency estimates from experiment and marketplace data weekly.
• 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.
• Collaborate with Uber's experimentation platform to run experiments and ingest results into the dashboard.
• Take features from design to launch: write design docs, review code, test, monitor production, and on-call.
• Document methodology and system design so partners can trust and reuse the numbers.

Skills

Go

Java

Python

Debugging

Distributed systems

Observability

Documentation

Education

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

Tools

Python

Pandas

PySpark

Spark

Scala

Jupyter Notebooks

Job description

Uber's Delphi Lever Efficiency team seeks a software engineer to own data pipelines and backend services that compute lever‑efficiency estimates and budget recommendations. You will build Spark/Hive pipelines, Go APIs, and interactive dashboards used by Operations, Finance, Product, and Science.

You will collaborate with data scientists to productionize notebook work, run experiments, and help design scalable systems with strong observability and on-call readiness.