Senior Staff Engineer - Data Platform

Uber; Bengaluru; On-site; INR 11,561,000 - 17,341,000; Full time

Benefits offered by this job

Bonuses

Equity

Benefits

Job summary

Uber in Bengaluru is seeking a Senior Staff Backend Engineer to lead the architecture and implementation of next-generation distributed systems powering the Data Lake. You will solve sub-50ms latency challenges handling 1M+ requests per second across a global marketplace with 70+ countries.

You will collaborate with platform, product and security teams, drive automation for capacity planning, monitoring, and incident management, and guide adoption of scalable frameworks to improve developer

Qualifications

• 12+ years of backend and distributed systems experience in large-scale production.
• Demonstrated ability to lead org-wide adoption of key frameworks and best practices.
• Experience forecasting architectural issues a year in advance with leadership.
• Proven track record of leading large-scale projects through all lifecycle stages.
• Experience defining testing, monitoring, and alerting standards and incident management.
• Experience identifying architectural gaps and building org-wide frameworks.
• Leadership in building relationships with internal and external partners.
• Bachelor's degree in CS/Engineering or equivalent practical experience.

Responsibilities

• Design systems architecture and deliver software to advance reliability, performance, efficiency and scaling.
• Provide technical leadership and partner with engineers to architect and build infrastructure that scales and reduces operational overhead.
• Drive efficiencies in systems and processes through automation: capacity planning, configuration management, performance tuning, monitoring, and root cause analysis.
• Collaborate with platform, product and security teams, and manage upstream and downstream dependencies.

Skills

Backend engineering

Distributed systems

Technical leadership

System architecture

Incident management

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes

GCP

Spark

Job description

About the role and Team

Batch Data Platform team is responsible for building Uber's Data Lake for the rest of the company. Engineering at Uber means building for real-world impact under real-world constraints. As a Senior Staff Backend Engineer, you will lead the architecture and implementation of next-generation distributed systems that power the bedrock of Uber. This is a high-stakes, high-impact role where you’ll tackle some of the most complex infrastructure challenges in the industry: building sub-50ms latency systems that handle 1M+ requests per second, and designing resilient platforms that power tens of billions of dollars in global marketplace transactions across 70+ countries.

The team is proud to be a part of the open source community in innovating and shaping such exciting technologies as we move forward. Uber, as a business, is also growing rapidly, and Data at Uber is at the heart of almost all products e.g. Pricing predictions, Uber Pool route optimizations, Uber Eats restaurant recommendations, fraud detection, storage and processing of data collected from Autonomous vehicles etc.

By solving these business problems you will not only be helping Uber but also have a front row seat to build and innovate the future Big Data systems and contribute them back to open source. This is an exciting time to be part of the Data team at Uber. Sr Staff lead in this team will be a global lead for big data analytics such as Spark. Be sure to check out our engineering blog to learn more about the team.

What you'll do

• Design systems architecture and deliver software and tools to advance the reliability of infrastructure including availability, performance, efficiency and scaling.
• Provide technical leadership, influence and partner with fellow engineers to architect, design and build infrastructure that can stand the test of scale and availability, while reducing operational overhead.
• Drive efficiencies in systems and processes through automation: capacity planning, configuration management, performance tuning, monitoring and root cause analysis.
• Collaborate with platform, product and security engineering teams, and enable successful use of infrastructure and foundational services, and manage upstream and downstream dependencies

Basic Qualifications

• 12+ years of professional experience in backend development and building world-class distributed systems in large-scale production environments.
• Proven ability to solve strategically important problems by leading organization-wide development and adoption of key frameworks and coding best practices.
• Experience foreseeing architectural problems or opportunities a year in advance and working with leadership to address them before they impact the business.
• Demonstrated track record of leading large-scale engineering projects through all lifecycle stages, from inception and requirement gathering to global productionization.
• Expertise in defining standards for testing, monitoring, and alerting systems, while overseeing the execution of complex incident management at an organisational level.
• Proven experience in identifying architectural gaps and creating org-wide frameworks that improve developer velocity and reduce systemic technical debt.
• Demonstrated leadership in building strategic relationships with internal stakeholders and external partners to rally an organization around a technical vision.
• Education: Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Preferred Qualifications

• Prior experience with big data systems - Spark, Hive, HUDI, Iceberg, Presto, Flink, Pinot, HDFS, YARN, etc preferred
• Experience building hardened developer tools, SDKs, and abstractions (e.g., streaming data with Flink/Kafka) used by hundreds of engineers.
• Proficiency in cloud-native infrastructure (GCP) and containerization (Kubernetes) at a massive global scale.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.