Sr Cloud Engineer - Capacity Planning and Operations

About the Role

The Cloud Engineer - Capacity Planning and Operations will lead initiatives related to cloud resource demand forecasting, capacity supply management, strategic cost optimization, and capacity safety initiatives. You will work closely with product & platform engineering, product management, strategic finance, and efficiency teams to operationalize cloud resource allocation, streamline internal processes, and ensure cost-effective and scalable infrastructure. This role will require a deep understanding of capacity demand and supply management, resource forecasting, cloud platforms, along with hands-on experience in managing cloud pricing models, optimizing consumption, and driving process improvements across teams. Additionally, having knowledge and experience with capacity provisioning operations will be hugely beneficial.

As a key leader, you will ensure accurate forecasting, drive cost-saving initiatives, and refine internal workflows to enhance collaboration and efficiency in managing cloud infrastructure. You will also serve as a strategic partner to key stakeholders across the organization, ensuring alignment on infrastructure needs, resource planning, and cost management.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Understand and execute on all aspects of capacity operations, both on-prem and vendor/cloud
2. Collaborate with Efficiency team to create a strategy for tracking all returns of capacity to vendors for ensuring cost reduction/savings opportunities
3. Establish good relationships internally with capacity stakeholders (product and platform engineering), as well as external vendors to align demand with supply
4. Provide visibility into capacity availability and allocation potential
5. On-call work for capacity scaling operations to align with business volatility

---- Basic Qualifications ----

Experience

1. 7+ years of experience in technical program management, with majority years focused on cloud infrastructure management, capacity planning, and/or resource demand forecasting.
2. Proven experience in managing cloud environments at scale, including strong experience with OCI, AWS, Azure and/or GCP.
3. Extensive experience in cloud cost optimization, including hands-on experience with cloud vendor pricing models, Reserved Instances, CUDs/Reservations, and other cost and capacity optimization strategies.

Skills & Knowledge:

1. Strong understanding of cloud architecture, resource provisioning, and capacity management.
2. Good knowledge of cloud vendor-specific tools and features for resource utilization and provisioning, cost optimization, and pricing models.
3. Experience with creating operational excellence for capacity management, supply allocation, demand vs supply reconciliation.
4. Familiarity with capacity management and cost optimization tools across multiple cloud platforms (e.g., AWS, Azure, GCP, OCI).

Stakeholder Management & Communication:

1. Strong ability to manage and influence a broad set of internal stakeholders, including senior leadership, technical teams, and finance teams.
2. Exceptional communication skills, with the ability to distill complex technical and financial information into clear, actionable insights for non-technical stakeholders.

Education:

1. Bachelor’s degree in Computer Science, Engineering, or a related field.

---- Preferred Qualifications ----

1. Experience with advanced analytics, machine learning, or AI-driven forecasting for resource planning and cost optimization.
2. Experience in rapidly scaling environments, with a focus on driving both performance and cost efficiency in cloud resource management.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.