refresh

トレンド企業

トレンド企業

採用

求人Uber

Engineering Manager II - Observability

Uber

Engineering Manager II - Observability

Uber

Amsterdam, Netherlands

·

On-site

·

Full-time

·

2w ago

About the Team:

Observability at Uber has evolved far beyond traditional monitoring. We build a centralized, reliable, and intelligent platform spanning metrics, logging, tracing, and on-call experiences - empowering engineers to operate services confidently at massive scale.

Our team owns end-user-facing observability applications used by 4,000+ engineers globally, enabling them to detect, understand, and resolve reliability issues before they impact customers.
We are building a real-time platform for customer experience observability and analytics at scale. This platform enables engineers to:

  • Detect and respond to customer experience degradations in real time
  • Ensure safe code deployments and fast feature rollouts
  • Leverage actionable insights to continuously improve service quality

Uber runs 5,000+microservices with hundreds of daily deployments, making observability a critical foundation for reliability across the company.
We are investing in the next generation of observability - bringing automation, intelligent insights, and deep integration into the development lifecycle to reduce operational overhead and improve system reliability.

The Role:

We are looking for an Engineering Manager II to lead a team building Uber's next-generation observability experience.

In this role, you will combine technical leadership, execution, and people management to deliver scalable systems that improve reliability and developer productivity. You will own a key area of the observability platform, driving roadmap, architecture, and delivery in a highly cross-functional environment.

What You'll Do:

  • Technical & Product Leadership

  • Lead the design and delivery of systems powering customer experience observability, including monitoring, alerting, and incident response.

  • Build platforms that enable engineers to detect issues early, respond effectively, and improve service quality over time.

  • Drive architecture and technical direction for large-scale distributed systems.

  • Strategy & Execution

  • Define and execute on a roadmap, aligning team priorities with broader organizational goals.

  • Translate complex reliability and product needs into clear technical plans and deliverables.

  • Drive execution through strong prioritization, delegation, and cross-team alignment.

  • Incident Detection & Reliability

  • Build and improve systems that reduce time-to-detection (TTD) and time-to-resolution (TTR).

  • Enable scalable alerting and incident workflows, including signal correlation, noise reduction, and actionable alerting.

  • Improve the overall effectiveness of on-call by reducing manual effort and improving signal quality.

  • Rollout Safety & Monitoring

  • Develop systems that support safe deployments and feature rollouts, using real-time monitoring and guardrails.

  • Enable teams to detect regressions quickly and make data-informed rollout decisions.

  • Data & Platform Foundations

  • Drive development of reliable, scalable data pipelines and platforms that power observability and analytics use cases.

  • Establish best practices for instrumentation, metrics, and data consistency across services.

  • People & Team Development

  • Build, mentor, and grow a high-performing team of engineers.

  • Foster a culture of ownership, technical excellence, and strong engineering fundamentals.

  • Empower engineers and tech leads to take end-to-end ownership of projects.

  • Cross-Functional Leadership

  • Collaborate closely with Engineering, Product, TPM, and partner teams to deliver end-to-end solutions.

  • Communicate priorities, trade-offs, and outcomes clearly to stakeholders and leadership.

  • Basic Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).

  • 10+ years of software engineering experience, including 4+ years managing teams.

  • Experience building and operating large-scale distributed systems in production.

  • Track record of delivering impactful technical solutions at scale.

  • Preferred Qualifications

  • Experience with observability, reliability engineering, or developer platforms.

  • Experience working with real-time systems, monitoring, or data platforms.

  • Strong ability to drive execution through delegation and cross-team alignment.

  • Experience defining and executing technical strategy across teams.

  • Excellent communication and stakeholder management skills.

Why Join Us:

  • Build systems that directly impact reliability and customer experience at Uber scale
  • Solve complex distributed systems challenges in a high-impact domain
  • Lead a team shaping the future of observability and developer experience

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.

総閲覧数

1

応募クリック数

0

模擬応募者数

0

スクラップ

0

Uberについて

Uber

Uber

Public

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

従業員数

San Francisco

本社所在地

$120B

企業価値

レビュー

3.7

10件のレビュー

ワークライフバランス

3.2

報酬

4.0

企業文化

4.1

キャリア

3.4

経営陣

2.8

68%

友人に勧める

良い点

Good compensation and pay

Flexible hours and schedule

Great team culture and colleagues

改善点

Long hours and tight deadlines

High pressure and stressful environment

Poor management and lack of support

給与レンジ

15,354件のデータ

Mid/L4

Mid/L4 · Data Analyst

3件のレポート

$209,300

年収総額

基本給

$161,000

ストック

-

ボーナス

-

$203,580

$209,300

面接体験

5件の面接

難易度

3.0

/ 5

期間

14-28週間

内定率

40%

体験

ポジティブ 80%

普通 20%

ネガティブ 0%

面接プロセス

1

Application Review

2

Online Assessment

3

Recruiter Screen

4

Technical Phone Screen

5

Case Study/Analytics Test

6

Final Loop/Panel Interview

7

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Case Study

Technical Knowledge