Software Engineer II

About the Role

We are part of the Batch Control Plane team within Uber's Data Platform under platform engineering, building the foundational systems that power Uber's data lake. These systems sit at the core of Uber - enabling analytics, data science, and AI workloads that drive pricing, payments, routing, forecasting, and machine learning across the company.

We operate at massive scale, storing exabytes of data and serving hundreds of petabytes every day via billions of requests. Reliability, correctness, and performance are non-negotiable - when these systems move, the company moves with them.

Uber is in the middle of a once-in-a-career platform transformation: evolving from an on-prem, single-region data stack to an industry-leading multi-cloud, multi-region architecture. This isn't a lift-and-shift. It's a rebuild - happening live, with hundreds of thousands of production pipelines continuing to run.

To make this possible, the team works across a few deeply connected problem areas:

1. Metadata & catalog systems that help thousands of engineers reliably discover and access data
2. Large-scale cloud migration of data and pipelines without breaking production
3. Disaster recovery for a hybrid on-prem and cloud platform as the move to cloud accelerates ensuring reliability all the way.
4. Data lifecycle, governance, and compliance, ensuring data is managed as per compliance at global scale.

It's an opportunity to own core platform infrastructure, solve hard distributed systems problems, and help shape how Uber's data platform evolves over the next several years. You'll learn fast, take real responsibility, and see your work have immediate, company-wide impact.

What You'll do:

Build and evolve platform-level control plane systems that drive Uber's batch data platform migration from on-prem infrastructure to a multi-cloud, multi-region architecture

Develop and extend foundational frameworks enable safe, automated, and scalable migration of data and pipelines.

Design systems that determine when, where, and how data should move, balancing correctness, cost, performance, network and reliability across regions and cloud providers.

Work on intelligent migration strategies that leverage dependency analysis, access patterns, and MLIP-style models to decide optimal movement and placement of data balancing multiple decision variables.

Ensure migrations are non-disruptive and reversible, with strong observability, safeguards, and automated rollback mechanisms

Help shape the long-term direction of Uber's data platform by turning one-time migration efforts into durable, reusable platform capabilities

What You'll Need:

Strong computer science fundamentals, including data structures, algorithms, concurrency, and object-oriented design

Proven problem-solving skills with the ability to break down ambiguous, complex problems into well-structured solutions

Experience writing clean, maintainable, and testable code in at least one general-purpose programming language

Strong communication skills and ability to collaborate effectively within and across teams

Bonus point if:

Solid understanding of distributed systems fundamentals (e.g., consistency, availability, fault tolerance, scalability)

Ability to reason about performance, reliability, and correctness in large-scale systems

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.

Client-provided location(s): Bangalore, India

Job ID: Uber-152984

Employment Type: FULL_TIME

Posted: 2026-01-09T00:28:30