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Uber Engineering Jobs (Flexible Options) in Seattle, WA

HackerOne

Senior Manager, AI Engineering

Seattle, WA · On-site

$240K - $280K/yr

Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber ... Senior Manager, AI Engineering Remote Location: Seattle, WA or Austin, TX Position Summary At ...

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Develop agent-specific data lakes and an orchestration layer for an uber-agent that can query ... Required Qualifications * 5+ years of experience in data engineering with a focus on Microsoft ...

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Staff Software Engineer

Uber Technologies, Inc.

Seattle, WA • On-site, Remote

Full-time

Retirement

Posted 10 days ago

Uber rating

6.9

Company rating: 6.9 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description

About the role and team 

As a Staff Software Engineer at Uber, you will be a technical anchor for the foundational systems that move the world - from building the next generation of orchestration platforms to architecting the stacks that power our global applications. You will navigate the "messy" reality of complex infrastructures spanning global data centers and multiple cloud providers, supporting a diverse variety of workloads. You'll need to make smart decisions with imperfect information and own the outcomes of global architectural choices.

The Core Platform Foundations team owns defining, monitoring, and controlling operations for the infrastructure that supports Uber's virtual computing environments. We are the lowest software layer abstracting the underlying fleet of hosts whether on prem or on the cloud, and as such we are the guardians of quality and security of the production host. We support many Core Platform's dependencies to ensure we provision the Uber flavored base host quickly and reliably, as well as help architect the new standards as we increase support for cloud native infra use cases. The software that this team owns impacts all of Uber's production fleet - quality, security, and operational mindedness are highly valued, as well as compassion for the developer experience.

What you'll do 

  • Driving initiatives and change between stakeholder platforms and cloud providers including the ingestion of new host and volume types, os/kernel upgrades, and improving availability and performance of vms and storage
  • Design and build end-to-end systems for orchestration, monitoring, or frameworks that stand the test of massive global scale, high availability, and resiliency against zonal disasters
  • Provide deep technical mentorship across the stack, ensuring architecture and implementations are robust, extensible, and secure.
  • Create best-in-class tools and frameworks that increase the velocity and quality of hundreds of internal engineering teams.
  • Lead and mentor engineers, reviewing code and designs while fostering a culture of continuous learning and humility.
  • Work cross-functionally with Product, Data Science, and Operations across the globe to drive large-scale projects and align technical investments with business value.

Basic Qualifications 

  • 8+ years of professional experience building scalable, fault-tolerant products or platforms, with a track record of solving strategically important problems.
  • Proficiency in one or more programming languages (e.g., Go, C/C++, Java, Python, or JavaScript) and the ability to define organization-wide standards.
  • Proven experience leading large-scale engineering projects through the entire lifecycle from inception to global productionization.
  • Expertise in making complex engineering/business tradeoffs, managing the implications of "buy vs. build" or "incremental vs. rewrite" decisions.
  • Experience identifying architectural gaps and acting as a multiplier to reduce technical debt across the organization.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.

Preferred Qualifications 

  • Advanced degree (Master's or PhD) with a focus on distributed computing, system performance, or machine learning.
  • Experience contributing to open-source projects or leading industry-level technical discussions.
  • Ability to anticipate future business needs and develop extensible, modular designs that meet long-term scalability targets.

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity 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.

For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

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