Senior Capacity Planning Engineer: Forecasting & Cost

BranchFactor; San Francisco (CA); On-site; USD 202,000 - 224,000; Full time

Job summary

Uber is hiring a Senior Software Engineer for the Capacity Planning group. You will architect systems that determine infrastructure needs, where it runs, and what it costs. You’ll own the end-to-end delivery from design to production, coordinating with Finance and platform owners to deliver reliable, scalable plans.

The role emphasizes solving messy, high-impact problems with imperfect information while maintaining data correctness and reliability across on-prem and cloud environments.

Qualifications

• 6+ years of backend or data engineering experience.
• Proficient in Go, Java, or Python for multi-team problems.
• Advanced SQL, data modeling, data warehousing experience.
• Experience leading cross-team engineering projects through lifecycle.
• Proven reliability ownership: incident response and on-call.
• Strong business-technical trade-off judgment.
• Degree in CS/Engineering or equivalent experience.

Responsibilities

• Design and build capacity planning components and pipelines.
• Solve high-impact problems at forecast accuracy and cost.
• Anticipate architectural issues in the planning stack and address them.
• Lead multi-team projects from inception to rollout and ops.
• Collaborate to translate business requirements into technical roadmaps.
• Own on-call and incident response for planning pipelines.
• Mentor engineers through design and code reviews.

Skills

Go

Java

Python

SQL

Data modeling

Cross-team leadership

System design

Education

Bachelor's or Master's in CS/Engineering

Tools

Spark

Hive

Flink

Job description

Uber is hiring a Senior Software Engineer for the Capacity Planning group. You will architect systems that determine infrastructure needs, where it runs, and what it costs. You’ll own the end-to-end delivery from design to production, coordinating with Finance and platform owners to deliver reliable, scalable plans.

The role emphasizes solving messy, high-impact problems with imperfect information while maintaining data correctness and reliability across on-prem and cloud environments.