**About the Role**

We are seeking a highly experienced Senior Staff Engineer to lead the technical strategy and execution for our Compute Platform team in Bangalore, with a focus on Kubernetes orchestration and cloud-native infrastructure. This individual will be responsible for designing, scaling, and evolving the systems that power our mission-critical applications, enabling developers across the company to build, deploy, and operate services with speed, reliability, and security.

As a senior technical leader, you will define architectural direction, guide large-scale initiatives, and mentor engineers while collaborating across product and infrastructure organizations.

**What you'll do**

1. Own the technical vision, architecture, and strategy for the global compute platform org.
2. Define and execute the roadmap for our compute platform, focusing on scalability, performance, and efficiency.
3. Drive architectural decisions and set technical direction for compute scheduling, resource allocation, and container orchestration systems.
4. Ensure high availability and reliability of the compute platform through best-in-class observability, automation, and incident response practices.
5. Drive adoption of best practices in scalability, availability, and security for multi-tenant compute environments.
6. Evaluate emerging technologies in cloud-native ecosystems and guide their integration into the platform.
7. Partner with product and infrastructure teams to deliver high-impact, cross-organizational initiatives.
8. Mentor and coach engineers, helping grow their technical depth and leadership skills.
9. Influence company-wide engineering standards and practices.

**What you'll Need**

1. 10+ years of software engineering experience, including expertise in distributed systems or infrastructure engineering.
2. Deep expertise in Kubernetes internals, container runtimes, and cloud-native compute platforms.
3. Strong background in containerization, resource scheduling, and cluster management at scale.
4. Hands-on experience with performance tuning, reliability engineering, and cost optimization in compute environments.
5. Excellent leadership, communication, and organizational skills, with a track record of building and mentoring high-performing teams.
6. Strong coding proficiency in one or more languages such as Go, Java, or Python.
7. Demonstrated ability to drive cross-functional technical initiatives and deliver impactful results.

\-\-\-\- Preferred Qualifications ----

1. Experience with hybrid cloud or multi-cloud compute environments.
2. Contributions to open-source Kubernetes or CNCF projects.
3. Familiarity with modern stateful data infra and ML platforms running on top of compute infrastructure.
4. Knowledge of emerging compute paradigms such as serverless, GPU scheduling, or federated orchestration.
5. Prior experience working in fast-paced, large-scale environments with mission-critical workloads.
6. Experience mentoring engineers at staff+ level.

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](mailto:accommodations@uber.com).