What are the responsibilities and job description for the Sr Software - Core Infrastructure position at Uber?
About The Role
Senior Engineers at Uber have a deep impact across a wide variety of business and technology decisions. As a member of the Core Infrastructure team, you will build the foundational platform-spanning Compute, Networking, and Foundations -that powers every Uber trip, delivery, and freight shipment globally.
We are looking for a pragmatic, high-execution Senior Engineer to help us build highly available, mission-critical systems that are "Secure by Design" and "Cloud-Native by Default." Whether it's driving fleet-wide CPU efficiency, modernizing our global service mesh, or automating safe deployments, your work will directly impact Uber's bottom line and developer velocity.
What The Candidate Will Do
Senior Engineers at Uber have a deep impact across a wide variety of business and technology decisions. As a member of the Core Infrastructure team, you will build the foundational platform-spanning Compute, Networking, and Foundations -that powers every Uber trip, delivery, and freight shipment globally.
We are looking for a pragmatic, high-execution Senior Engineer to help us build highly available, mission-critical systems that are "Secure by Design" and "Cloud-Native by Default." Whether it's driving fleet-wide CPU efficiency, modernizing our global service mesh, or automating safe deployments, your work will directly impact Uber's bottom line and developer velocity.
What The Candidate Will Do
- Design & Scale Core Services: Build and maintain the next generation of infrastructure services (Compute, Networking, or Tooling) capable of supporting XM sustained concurrent trips.
- Drive Efficiency & Optimization: Contribute to large-scale initiatives to improve resource utilization (targeting 40% fleet utilization) and optimize unit costs across multi-cloud and on-prem environments.
- Enable Multi-Cloud Resilience: Develop features that support Uber's "Thrive in Cloud" strategy, ensuring seamless failover and active-active reliability across multiple cloud providers.
- Automate the Lifecycle: Build "AIOps" and agentic automation tools to reduce manual operational load, aiming to automate incident response and alert triaging.
- Collaborate Across Infra: Work cross-functionally with Storage, Data, and Product teams to ensure infrastructure is a seamless enabler for business growth (e.g., scaling for AI/ML workloads).
- Mentor & Execute: Lead by example with high-quality code and rigorous testing, while providing technical mentorship to help mid-level engineers grow.
- 5 years of software engineering experience , with a focus on backend services, infrastructure, or distributed systems.
- Systems Languages: Strong proficiency in Go, Java, or C .
- Reliability at Scale: Proven track record of building, deploying, and operating production services that handle high throughput and require 99.99% availability.
- Problem Solving: Ability to debug complex issues across a distributed stack, from application code down to the networking or container layer.
- Communication: Strong technical writing skills for RFCs and design documents, with the ability to articulate technical trade-offs to stakeholders.
- Cloud-Native Expertise: Experience with the modern CNCF ecosystem, including Kubernetes, Envoy, or Prometheus .
- Efficiency Mindset: Experience in performance tuning, capacity planning, or cost-optimization of large-scale clusters.
- Infrastructure as Code: Familiarity with modern deployment patterns (e.g., Starship, GitOps) and automating infrastructure lifecycle management.
- Hybrid/Multi-Cloud: Experience architecting services that run across on-prem data centers and public clouds (AWS/GCP).
- Security & Compliance: Knowledge of Zero-Trust architecture, mTLS, and building ransomware-resilient systems.
- Leadership: Experience leading technical projects from conception to launch, influencing team roadmaps and technical standards.
Salary : $202,000 - $224,000