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Senior Staff Engineer, Core Infrastructure

Uber

Senior Staff Engineer, Core Infrastructure

Uber

Århus, Denmark

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible work arrangements

Competitive salary and equity package

Professional development budget

Comprehensive health, dental, and vision insurance

Generous paid time off and holidays

Team events and activities

Flexible Hours

Equity

Learning

Healthcare

Required Skills

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Uber

Senior Staff Engineer, Core Infrastructure

3+ months ago• Århus, Denmark
Viewed on February 1, 2026
Apply on company site

About Us

Uber is changing how people think about transportation, part of the logistical fabric of 600+ cities - giving people what they want when they want it.

  • Size: 10000+ employees
  • Industry: Technology

View Company Profile:

About the Role:

The Uber Infrastructure team in Aarhus is at the forefront of building and scaling mission-critical systems that power Uber's global platform. We focus on improving quality, security, modernization, and efficiency across Uber's backend infrastructure. Our work spans safe deployment, encryption, Kubernetes adoption, workload automation, autoscaling, and ARM migration. As a Senior Staff Engineer, you will architect and drive large-scale backend systems, improve developer efficiency and resilience, and shape the next generation of Uber's infrastructure through cutting-edge technologies and scalable engineering practices.

What the Candidate Will Do:

  • Architect and evolve backend infrastructure to support Uber's growing workloads, including deployment engines, autoscalers, and hybrid cloud environments.
  • Lead safe deployment and rollback automation across stateless, stateful, and batch workloads, improving resilience and developer efficiency.
  • Improve infrastructure security and compliance, including encryption-at-rest, ransomware mitigation, and cloud security best practices.
  • Advance Uber's modernization efforts, including Kubernetes migration, unified workload platforms, and PaaS improvements.
  • Optimize Uber's infrastructure efficiency, focusing on ARM adoption, autoscaling enhancements, and cost-effective compute allocation.
  • Mentor engineers and drive technical strategy, ensuring Uber's backend infrastructure remains cutting-edge, reliable, and scalable.

Basic Qualifications:

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  • By signing up, you agree to our • 10+ years of experience in backend software development with distributed systems, infrastructure, or cloud platforms.
  • Strong expertise in Go, Java, or similar backend languages, with a deep understanding of Kubernetes, cloud infrastructure, and high-scale systems.
  • Experience driving large-scale system modernization, performance optimizations, and deployment safety improvements.

Preferred Qualifications:

  • Experience designing and implementing highly available, efficient, and secure cloud-native architectures.
  • Deep understanding of safe deployment strategies, workload automation, and resilience engineering.
  • Proven expertise in scaling autoscaling solutions, ARM adoption, hybrid cloud, or GPU support for ML workloads.
  • Ability to lead large technical initiatives and drive cross-team collaboration across platform, security, and infrastructure teams.

If You Want to Find Out More:

For a deeper dive into some of the technologies and infrastructure innovations at Uber, check out the following resources:

  • CPU Scaling: Vertical CPU Scaling - https://www.uber.com/en-SE/blog/vertical-cpu-scaling
  • CPU Throttling: Avoiding CPU Throttling in a Containerized Environment - https://eng.uber.com/avoiding-cpu-throttling-in-a-containerized-environment/
  • uBuild: Fast and Safe Building of Thousands of Container Images - https://www.uber.com/en-US/blog/ubuild-fast-and-safe-building-of-thousands-of-container-images
  • Cinnamon:
  • Using Century-Old Tech to Build a Mean Load Shedder - https://www.uber.com/en-SE/blog/cinnamon-using-century-old-tech-to-build-a-mean-load-shedder
  • PID Controller for Cinnamon - https://www.uber.com/en-SE/blog/pid-controller-for-cinnamon
  • Cinnamon Auto-Tuner: Adaptive Concurrency in the Wild - https://www.uber.com/en-SE/blog/cinnamon-auto-tuner-adaptive-concurrency-in-the-wild
  • Unified Config: How We Unified Configuration Distribution Across Systems at Uber - https://www.uber.com/en-DK/blog/how-we-unified-configuration-distribution-across-systems-at-uber/
  • Up: Portable Microservices Ready for the Cloud - https://www.uber.com/en-DK/blog/up-portable-microservices-ready-for-the-cloud/
  • Continuous Deployment (CD): Continuous Deployment at Uber - https://www.uber.com/en-SE/blog/continuous-deployment
  • Odin:
  • Stateful Platform - https://www.uber.com/en-SE/blog/odin-stateful-platform/
  • The Accounter - https://www.uber.com/en-SE/blog/the-accounter
  • INCA: Deduping and Storing Images at Uber Eats - https://www.uber.com/en-SE/blog/deduping-and-storing-images-at-uber-eats/
  • ARM:
  • Adopting ARM at Scale: Bootstrapping Infrastructure - https://www.uber.com/en-SE/blog/adopting-arm-at-scale-bootstrapping-infrastructure
  • Adopting ARM at Scale: Transitioning to a Multi-Architecture Environment - https://www.uber.com/en-SE/blog/adopting-arm-at-scale-transitioning-to-a-multi-architecture-environment

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.

Client-provided location(s): Århus, Denmark Job ID: Uber-141032Employment Type: FULL_TIMEPosted: 2025-04-11T00:36:47Apply on company site

Perks and Benefits

Health and Wellness

  • Health Insurance
  • Health Reimbursement Account
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • FSA With Employer Contribution
  • Fitness Subsidies
  • On-Site Gym
  • Mental Health Benefits

Parental Benefits

  • Fertility Benefits

Work Flexibility

  • Flexible Work Hours
  • Remote Work Opportunities
  • Hybrid Work Opportunities

Office Life and Perks

  • Casual Dress
  • Pet-friendly Office
  • Snacks
  • Some Meals Provided
  • On-Site Cafeteria

Vacation and Time Off

  • Paid Vacation
  • Unlimited Paid Time Off
  • Paid Holidays
  • Personal/Sick Days
  • Sabbatical
  • Volunteer Time Off

Financial and Retirement

  • 401(K)
  • Company Equity
  • Performance Bonus

Professional Development

  • Work Visa Sponsorship
  • Associate or Rotational Training Program
  • Promote From Within
  • Mentor Program
  • Access to Online Courses

Diversity and Inclusion

  • Employee Resource Groups (ERG)
  • Diversity, Equity, and Inclusion Program

Apply on company site

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About Uber

Uber

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

10,001+

Employees

San Francisco

Headquarters

$120B

Valuation

Reviews

3.1

10 reviews

Work Life Balance

4.2

Compensation

2.3

Culture

3.5

Career

2.0

Management

2.5

45%

Recommend to a Friend

Pros

Flexible hours and schedule

Meeting different people and cultures

Make your own hours

Cons

Inconsistent and low pay

Safety concerns with passengers

Traffic and difficult drivers

Salary Ranges

23,534 data points

Mid/L4

Mid/L4 · Data Analyst

3 reports

$209,300

total / year

Base

$161,000

Stock

-

Bonus

-

$203,580

$209,300

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 80%

Neutral 20%

Negative 0%

Interview Process

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

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Case Study

Technical Knowledge