Demo

Senior Engineering Manager, Platform Engineering

Uber Corporate
San Francisco, CA Full Time
POSTED ON 3/2/2025
AVAILABLE BEFORE 4/26/2025

Job Details

About the Team:

Our team is responsible for developing and maintaining an industry-leading goal-seeking repair engine designed to ensure tenant health across instances and maintain optimal host utilization. This sophisticated system not only continuously monitors and heals infrastructure but also supports extensibility by enabling labor services to be pluggable, paving the way for the open sourcing of the Allocation Engine.

We play a critical role in defining the authoritative signal for workload tenant health and performance, ensuring workloads operate within their declared SLAs. This serves as the key contract between product and platform: while the platform has the freedom to implement infrastructural changes, it must always honor the SLA requirements. Our work results in a unified repair engine that spans all layers of the stack, including physical networking.

The repair engine is the cornerstone of maintaining steady-state health and serves as the gatekeeper for granting permissions to other systems making changes. At its core, our team is the guardian of tenant health, ensuring a reliable and resilient platform for all workloads.

What You'll Do

- Lead and oversee complex modernization projects, migrating distributed systems to cloud services while aligning with Uber's architectural and performance standards.
- Oversee, mentor, and manage a team of high-performing engineers. Foster a culture of ownership, growth, and innovation.
- Design, develop, and maintain robust backend services that power user-facing products and support downstream services, contributing to a seamless user experience.
- Drive the creation of infrastructure tools and platforms that improve reliability, scalability, and efficiency across Uber's ecosystem.
- Provide expert technical guidance and mentorship to engineering teams, fostering best practices in distributed systems, cloud architecture, and backend development.
- Ensure smooth, reliable deployment processes, optimizing for high performance and minimal downtime.
- Collaborate closely with Leadership, Product, Infrastructure, and DevOps teams to deliver end-to-end, scalable solutions.
- Work closely with stakeholders to understand their scenarios to develop customer-focused solutions.
- Leverage Kubernetes for containerization and orchestration, enabling scalable deployment pipelines and efficient infrastructure management (Kubernetes experience is a plus).

Basic Qualifications

- MS/BS/BE degree in Computer Science or related fields.
- Minimum 10 years of software engineering experience in technical architecture, system design and/or design of cloud services and architecture, with experience in migration strategies and best practices.
- Minimum of 5 years experience as a technical leader and manager.
- Strong knowledge of cloud infrastructure providers (AWS, Google Cloud Platform, Azure) and expertise in cloud-native tools.

Preferred Qualifications:

- Experience in product engineering and scalability engineering.
- Expertise in cloud services and architecture, with experience in migration strategies and best practices.
- Knowledge of containerization, orchestration tools, and infrastructure management (Kubernetes experience is a plus).
- Proven ability to architect solutions that are scalable, reliable, and secure, with a focus on performance and high availability.
- Proficiency in working with microservices architecture and backend systems within high-growth, technology-driven organizations.
- Familiarity with observability tools and techniques for monitoring and optimizing distributed systems.
- Proven ability to lead complex technical projects and effectively align multiple stakeholders toward common goals.
- Proven technical expertise with a deep understanding of engineering best practices, product architecture, and delivery of consumer-facing products
- Strong people leadership skills including growing and mentoring your team members
- Strong product sense and experience with end-to-end ownership of product development
- Demonstrated ability to make data-driven decisions using strong analytical skills, with a track record of leveraging insights to drive product improvements
- Exceptional cross-functional collaboration and communication skills for effective alignment with stakeholders across multiple teams
- High degree of ownership and bias towards action, with a focus on impact and results

For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 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. You will also be eligible for various benefits. More details can be found at the following link [](;br>
Uber is proud to be an Equal Opportunity/Affirmative Action 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](;br>
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Salary : $257,000 - $285,500

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