Senior Software Engineer, Capacity & Efficiency Engineering (CEE) - Planning

Uber; United States; On-site; USD 202,000 - 224,000; Full time

Job summary

Uber is seeking a Senior Software Engineer for the Capacity and Economics Engineering (CEE) team. You will architect systems that determine infrastructure needs, where to run, and total costs, spanning on‑prem and cloud environments.

You’ll own end-to-end outcomes from design to production, lead multi-team initiatives, and partner with Finance and product teams to translate forecasts into actionable roadmaps. This role emphasizes reliability and scalable data foundations.

Qualifications

• 6+ years of backend software or data engineering experience.
• Proficiency in Go, Java, or Python to solve cross-team problems.
• Advanced SQL, data modeling, and data warehousing skills.
• Experience leading cross-team engineering projects through lifecycle stages.
• Track record of owning production reliability and incident response.
• Ability to make engineering and business trade-offs with long-term impact.

Responsibilities

• Design and build long-lasting components of capacity planning stack and related services.
• Tackle high-impact problems at the intersection of forecast accuracy and cost.
• Forecasting, planning, and capacity alignment across compute, storage, and data infra.
• Lead multi-team projects from inception to production rollout and operations.
• Collaborate with Product, Data Science, Finance, and infra owners on roadmaps.
• Own on-call and incident response for planning pipelines and services; drive root-cause fixes.
• Mentor engineers through design reviews and code reviews.

Skills

Backend engineering

Go/Java/Python

SQL/Data warehousing

Cross-team leadership

Incident response

System design

Education

Bachelor's or Master's in CS/Engineering

Tools

Spark

Hive

Flink

Workflow orchestration

Job description

About the Role and Team

Engineering at Uber means building for real-world impact under real-world constraints. As a Senior Software Engineer on CEE, you will architect the systems that decide how much infrastructure Uber needs, where it runs, and what it costs. Our capacity planning platform turns business demand forecasts into resource plans, targets, and quotas across compute, storage, and data infrastructure, on-prem and in the cloud. These plans drive Uber's infrastructure spend and capacity commitments, so engineering teams can ship without over-provisioning and Finance can trust the numbers.

The problems here are messy, the systems are massive, and plans get revised every forecast cycle. Demand is uncertain, cost attribution spans thousands of services and many source systems, and the numbers have to reconcile. You'll lead work that has no clear starting point, make smart decisions with imperfect information, and own outcomes end-to-end: from the first design doc to debugging a production pipeline when a planning deadline is on the line. We are looking for technical leaders who think in systems, hold a high bar for data correctness and reliability, and can bring Engineering, Finance, and infrastructure owners to a shared plan. If you're energized by challenge and motivated by real-world impact, this is where you'll grow.

What You'll Do

• Design and build long-lasting components of the capacity planning stack, including resource demand-to-supply forecasting models, plan-of-record pipelines, and the services that publish and manage capacity and spend plans, in ways that reduce complexity and make planning faster and more trustworthy for teams across Uber.
• Solve messy, high-impact problems at the intersection of forecast accuracy, data correctness, and cost, such as reconciling consumption, cost attribution, and Finance forecasts that come from different systems and don't agree, often without a clear starting point or obvious solution.
• Foresee architectural problems and opportunities in the planning stack, such as source-of-truth migrations, scaling limits, or gaps between plans and enforcement, and work with leadership to address them before they affect a planning cycle or capacity commitment.
• Lead multi-team projects through every stage: inception, stakeholder alignment, implementation, rollout, and operations. Drive adoption of planning frameworks and tooling across infrastructure and product engineering organizations.
• Collaborate with Product, Data Science, Finance, and infrastructure platform owners to translate ambiguous business requirements, such as budgets, efficiency targets, and growth scenarios, into production-ready technical roadmaps.
• Set the bar for operational excellence: own on-call and incident response for planning pipelines and services, drive root-cause fixes, and build the monitoring and data-quality checks that keep plans correct and on time around forecast deadlines.
• Mentor and guide other engineers through design reviews, code reviews, and project leadership, role-modeling coding and design best practices and raising the bar across CEE.

Basic Qualifications

• 6+ years of professional experience in backend software engineering, data engineering, or a related technical role.
• Expertise in writing high-quality code in one or more languages (e.g., Go, Java, or Python) to solve strategically important problems that span multiple teams or organizations.
• Advanced proficiency in SQL, data modeling, and data warehousing, with a demonstrated ability to identify and reconcile gaps between data sources and system architectures.
• Experience leading cross-team engineering projects through all lifecycle stages: inception, stakeholder engagement, implementation, and operations.
• Track record of owning production reliability, including leading incident response, running on-call rotations, and driving root-cause fixes.
• Demonstrated ability to make sound engineering and business trade-offs, considering long-term implications for Uber.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Preferred Qualifications

• Experience with forecasting, optimization, or statistical modeling, and with turning models into reliable production systems that drive financial decisions.
• Domain experience in capacity planning, resource quotas or scheduling, cloud cost management, or cost showback or chargeback systems.
• Expertise with Big Data frameworks (e.g., Spark, Hive, Flink) and workflow orchestration used to automate complex data pipelines across multiple product areas.
• Experience building scalable distributed systems or data platforms that operate across a large, heterogeneous infrastructure fleet, on-prem and multi-cloud.
• Proven ability to get alignment and buy-in for large-scale technical and process changes across Engineering, Finance, and leadership.
• Experience representing your team to the broader engineering organization, with a track record of translating complex technical concepts for executives and non-technical stakeholders.

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.

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.

For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 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 benefits.