Staff Software Engineer

at  Uber

- Basic Qualifications -

• Bachelors degree in Compute Science or related field
• 8+ years of experience in low-level systems, distributed systems, or similar technologies
• Experience in Golang, Java, Python, C/C++
• Background in large-scale backend infrastructur

- Preferred Qualifications -

• Knowledge of cluster management solutions such as Kubernetes
• Understanding of container technologies such as docker or containerd
• Knowledge of operating systems and Linux kerne

The Container Platform team is missioned to bring the next-generation container orchestration platform on Kubernetes, and one that is secure, reliable, scalable, and highly efficient. This platform supports a diverse variety of workloads (stateless, batch, stateful) each different in its characteristics and requirements, in a multi-cloud environment.
The Container Platform is looking for a strong software engineer to join our team! You will be developing cutting-edge technologies that power many critical use cases and also you will be working on multiple efficiency initiatives, which focus on reducing Uber infrastructure spendings on hardware/OPEX and drive our profit margin even further!

What you will do

• Evaluate options, design and implement solutions to meet business goals
• Collaborate with related teams to establish interface, fill gaps, to reach project goals
• Productize solutions across the fleet, including close monitoring and revising the solution based on actual observations.
• Contribute to project scope and planning
• Mentor junior engineers and interns to grow in leadership abilities

• Represent own project in internal forums

• Basic Qualifications -

• Bachelors degree in Compute Science or related field

• 8+ years of experience in low-level systems, distributed systems, or similar technologies
• Experience in Golang, Java, Python, C/C++

• Background in large-scale backend infrastructure

• Preferred Qualifications -

• Knowledge of cluster management solutions such as Kubernetes

• Understanding of container technologies such as docker or containerd
• Knowledge of operating systems and Linux kernel