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职位Uber

Senior Software Engineer

Uber

Senior Software Engineer

Uber

Århus, Denmark

·

On-site

·

Full-time

·

2d ago

About the Role

Cadence team maintains and evolves Cadence. Cadence is an open source workflow orchestration engine that helps developers focus on writing business logics and scalable code, without worrying about the complexity of distributed systems. Cadence has been widely adopted at Uber and in the open source community to tackle a broad variety of use cases. You'll work on the heart of this system, solving deep distributed systems challenges related to persistence, concurrency, and reliability. Your contributions will directly empower developers worldwide to build stateful, long-running applications that can withstand failure without data loss.

What You Will Need/Bonus Points

What You Will Do:

1. Design, implement, and test new features and core components of the Cadence workflow engine in Go.
2. Diagnose and resolve complex bugs and performance bottlenecks in a distributed, multi-tenant environment.
3. Optimize and scale the engine's core components, including its persistence layer, sharding, and task dispatching logic.
4. Collaborate with the open-source community by reviewing pull requests, participating in design discussions, and improving documentation.
5. Participate in an on-call rotation to support the reliability and operation of the services built on the engine.

Basic Qualifications

1. Strong systems programming experience in Go (Golang), or deep expertise in languages like Java/C++/Rust with a proven ability to learn Go quickly.
2. A solid understanding of and practical experience with distributed systems concepts, including concurrency, fault tolerance, and consensus.
3. Experience building, testing, and operating large-scale, high-availability services and working with persistent storage systems (e.g., Cassandra, MySQL, PostgreSQL).

Preferred Qualifications

1. Significant contributions to open-source distributed systems or database projects (e.g., Cadence, Temporal, gRPC, Kafka, Vitess).
2. Deep expertise in performance analysis, benchmarking, and optimization of low-latency, high-throughput systems.
3. Advanced knowledge of database internals, storage engines, or complex query optimization.
4. Experience with formal verification, advanced consistency models, or consensus algorithms (like Paxos or Raft).

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.

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关于Uber

Uber

Uber

Public

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

10,001+

员工数

San Francisco

总部位置

$120B

企业估值

评价

3.7

10条评价

工作生活平衡

3.2

薪酬

4.0

企业文化

4.1

职业发展

3.4

管理层

2.8

68%

推荐给朋友

优点

Good compensation and pay

Flexible hours and schedule

Great team culture and colleagues

缺点

Long hours and tight deadlines

High pressure and stressful environment

Poor management and lack of support

薪资范围

15,354个数据点

Mid/L4

Mid/L4 · Data Analyst

3份报告

$209,300

年薪总额

基本工资

$161,000

股票

-

奖金

-

$203,580

$209,300

面试经验

5次面试

难度

3.0

/ 5

时长

14-28周

录用率

40%

体验

正面 80%

中性 20%

负面 0%

面试流程

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

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Case Study

Technical Knowledge