About the Role

At Uber, we provide a centralized, reliable, and interactive observability data platform that includes metrics, logging, and tracing. This platform empowers engineers with the tools needed for monitoring, troubleshooting, and performing root cause analysis at scale.

The M3 Metrics team, a core component of this platform, is responsible for delivering a cutting-edge, end-to-end distributed metrics solution designed to operate at Uber's scale. Our system ingests over 4 billion metrics per second and handles over 20K queries per second, with cardinality up to 500K. As Uber continues to grow, our system evolves to meet increasing demands. Beyond solving the inherent challenges of large-scale distributed systems—such as scalability, availability, performance, and efficiency—we also focus on providing intelligent insights that identify issues before they impact our customers, ensuring a seamless experience for millions of users worldwide.

We are a dynamic, agile team with members from diverse backgrounds. We dream big, aim high, and execute with precision. Join us to tackle challenging large-scale distributed system problems and raise the bar of observability for Uber.

What the Candidate Will Need / Bonus Points

1. Design system architecture, own key components to deliver the centralized metric platform for Uber.
2. Join on call rotation, driving continuous improvements on system availability, scalability, performance and efficiency.
3. Provide technical leadership, influence fellow engineers and role model solid engineering practices.
4. Collaborate with other infrastructure teams, production engineer team and product manager to drive adoption and best practices, and to design and implement high impact, cross-product features.

Basic Qualifications

1. BS or higher degree in Computer Science, or a related technical discipline, or equivalent experience.
2. Minimum 8+ years of experience in one or more backend languages, like Java, Go, and/or C/C++
3. Strong problem solving skills, with relevant experience in designing and implementing large scale distributed backend services

Preferred Qualifications

1. Proven record of building and operating highly reliable distributed systems at scale.
2. Passionate about pursuing technical excellence and mentoring engineers.
3. Experience with OpenTelemetry, and/or building and operating monitoring infrastructure at large scale. E.g. PB sized ElasticSearch clusters, Prometheus, Kibana, Grafana, etc
4. Excellent written and verbal communication skills.

For New York, NY-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 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. You will also be eligible for various benefits. More details can be found at the following link .

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 .

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.