Software Engineer II - Compute

About the role and team
At Uber’s Infrastructure organization we are relentlessly raising the bar for reliability and availability, while designing a truly cloud native platform that seamlessly runs on multiple cloud providers. We are the Compute team at Uber, and are looking for a strong engineer to come shape the next version of our Compute platform. We own the foundational compute systems used by every product team at Uber - from control plane services such as node health monitoring to leveraging the latest kernel features to deliver graceful degradation at high utilization. Along the way, we get to present our work at leading conferences such as Linux Plumbers. Our company mission is to make transportation as reliable as running water, and we need technical powerhouses to build the dependable, high-performance foundation that supports that vision.
You will contribute to the 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. If you lead with clarity, build with heart, and are motivated by the challenge of peak efficiency at unparalleled scale - this is where you’ll make your mark.
What you’ll do
Design and build end-to-end systems for orchestration, monitoring, or frameworks that stand the test of massive global scale and high availability.
Build a world class, extensible multi-cloud compute platform. Collaborate closely with stakeholders in the big cloud providers to influence their roadmaps per Uber’s business needs.
Learn from, and often contribute to, the leading edge in Linux open source to enable graceful degradation when there is resource contention
Contribute to team charter by reviewing code and designs while fostering a culture of continuous learning and humility. You will balance being AI-first while ensuring the quality of our code does not drop.
Basic Qualifications
3+ years of professional experience building scalable, fault-tolerant platforms, with a track record of delivering business critical services in the cloud.
Proficiency in Go, C/C++ or Java) and the ability to define organization-wide standards.
Proven experience leading large-scale engineering projects through the entire lifecycle from inception to global productionization.