Staff Software Engineer

About The Role

Storage Org in Uber can be comparable to any PAAS offerings on the database side from cloud providers.

This Team Provides Multiple Databases As Service To Product Teams. Which Is Used To Power Every Single Critical Use Case Of Uber. Storage Org's Mission Is To Deliver Standardized, Integrated, And Fully Managed Storage Solutions For Applications With Efficiency, Reliability And Performance.Provides Following Features For Every Single Database Platform

• Completely automated lifecycle management such as provisioning/decommission/ etc of any databases cluster
• Automated patching/upgrade
• Security and compliance
• 99.99% of availability
• High scalability
• Reliable to hardware , software failures
• Backup/restore
• Snapshoting/CDC/events
• Multiple failure domains - node , cluster , instance , zone and region
• Cost management
• Database migration services
• Customisable performance
  
  

What you'll do

As a Staff software engineer you will drive some of the most complex technical platform initiatives for storage end-to-end and help Uber run across multiple public clouds and private data centers in most effective and seamless manner.

What you'll need

7+ years of relevant engineering experience.

• Bachelor's degree or higher in Computer Science or related fields
• Proficient with any of the languages : Go, Java or C++
• Detailed problem-solving and knowledge of algorithms, data structures, and complexity analysis.
• Experience with inner workings of compute, SWN , storage , cloud or workflow management platforms.
• Experience with IAAS , compute and storage
• Experience with Cloud providers (AWS, GCP, Microsoft Azure)
• Knowledge or Experience with inner workings of Linux, containers (Docker, contrainerd),cluster management technologies (e.g. Mesos, Kubernetes), or virtual machine
• Experience in building PAAS offerings on the Database side like building AWS RDS, Azure Cosmos DB etc
• Strong programming experience with inner workings of Linux, containers (Docker, contrainerd),cluster management technologies (e.g. Mesos, Kubernetes), or virtual machine
• Experience in Golang, stateful workflow management systems like Cadence