About the Role

We build Uber's infrastructure to deploy and run all database engines and other stateful systems globally. Our mission at Uber is to run all storage solutions at scale, with high availability, low cost, and a high level of automation. All changes are automated (or self-healing) such as doing kernel upgrades, handling host failures, or expanding storage clusters.

What You Will Do:

You will improve your software engineering, systems engineering, hardware/Linux OS/kernel knowledge, cloud knowledge, and infrastructure systems experience to investigate and decipher ambiguous problems in our production fleet while also contributing to planning, new systems design, and improvement of existing systems to enable even greater efficiency and insight.

1. Contribute to planning, design and architecture, and building of systems, tooling, and observability in support of reliable workload scheduling, workload discovery, fleet security, host-level insights, and cloud expansion efforts
2. Actively drive collaboration across multiple teams to build alignment and progress.
3. Implement solutions in Go with a strong focus on clean, readable code with unit and integration test coverage.
4. Take an active part in code change peer reviews to ensure quality and multi-functional sharing across the team.
5. Contribute to engineering cultivation in terms of quality, monitoring, and on-call practices.
6. Own part of the team's charter and through that help setting longer-term direction for the team.

What You Will Need/Bonus Points

Basic Qualifications:

1. 5+ years of experience
2. BS, MS, or Ph.D. degree in computer science, similar technical field of study, or similar practical experience
3. Background in multiple programming languages, e.g., Golang, C/C++, Python, etc.
4. Strong hands-on experience with solving Linux/Operating Systems problems at the software/hardware interface which includes disk, memory, cpu and network subsystems
5. An inherent aim is to collaborate, both within the team and across the organization
6. Excellent written and verbal interpersonal skills, and the ability to write detailed design documents, post mortems
7. A belief that your team can accomplish more together than as separate individuals
8. Attention to detail, particularly around software engineering fundamentals, testing methodologies, and quality

Preferred Qualifications:

Experience with Remote Storage:

1. Experience operating large-scale cloud infrastructure (thousands of machines) and cloud migration efforts is a plus
2. Strong understanding of Linux kernel internals, e.g., ability to read and understand kernel code.
3. Experience with database and storage technologies such as MySQL, Cassandra, Kafka, and HDFS and knowing the tradeoffs between them
4. Experience with large distributed systems running on thousands of machines, acros multiple regions and availability zones.
5. Experience with containerization software such as Kubernetes, Docker.
6. Comfortable working with on-prem and cloud-based infrastructure (OCI, GCP)

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.