Sr Software Engineer - Engineer

Uber; Hyderabad; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Uber Technologies Inc. in Hyderabad, India is seeking a Senior Software Engineer (Data & Backend) to architect mission-critical systems powering trust across the global marketplace.

You will ensure accurate payments for millions of earners and scale pricing simulations with low latency and high reliability. You’ll own end-to-end design from initial docs to production debugging, lead critical frameworks, mentor engineers, and collaborate with product, science, and ops teams to translate complex

Qualifications

• 6+ years of backend software engineering or data engineering experience.
• Experience leading org-wide engineering projects end-to-end.
• Proficiency in SQL and data warehousing.
• Bachelor’s or Master’s degree in CS/Engineering or equivalent.

Responsibilities

• Design and build long-lasting engineering artifacts to reduce complexity and increase developer velocity.
• Solve high-impact problems at the intersection of low latency and high correctness.
• Foresee architectural problems and address them before they impact the global marketplace.
• Lead organization-wide development and adoption of key frameworks with strong code reviews.
• Collaborate cross-functionally with Product, Science, and Ops to translate requirements into technical roadmaps.

Skills

Backend engineering

Data engineering

SQL

Distributed systems

Incident management

Education

Bachelor’s/Master’s in CS/Engineering

Tools

Flink

Spark

Apache Pinot

Druid

Hadoop ecosystem

Job description

About the role and team

Engineering at Uber means building for real-world impact under real-world constraints. As a Senior Software Engineer (Data & Backend), you will architect mission-critical systems that power the foundation of trust across our global marketplace - from ensuring millions of earners are paid accurately and on time to scaling the simulation platforms that drive billions in pricing decisions. You will work on uniquely ambitious projects where performance, reliability, and scale cannot be separated.

The problems here are complex, the systems are massive, and the pace is fast. You’ll need to make smart decisions with imperfect information and own your work end-to-end: from the first design doc to debugging production issues when the stakes are highest. We are looking for technical powerhouses who think in systems, stay calm under pressure, and care about building things that actually work. If you’re energized by challenge and motivated by real-world impact—this is where you’ll grow.

What you’ll do

• Design and build long-lasting engineering artifacts that reduce complexity and increase developer velocity across the organization.


• Solve messy, high-impact problems at the intersection of low latency and high correctness, often without a clear starting point or obvious solution.


• Foresee architectural problems or opportunities and work with leadership to address them before they impact the global marketplace.


• Lead organization-wide development and adoption of key frameworks while role-modeling coding best practices and high-quality design review.


• Collaborate cross-functionally with Product, Science, and Ops to translate ambiguous business requirements into production-ready technical roadmaps.


• Mentor and guide other engineers, acting as a technical brand ambassador and raising the bar for excellence across the engineering organization.

Basic Qualifications

• 6+ years of professional experience in backend software engineering, data engineering, or a related technical role.


• Expertise in writing high-quality code to solve strategically important problems that span multiple organizations.


• Advanced proficiency in SQL and data warehousing, with a demonstrated ability to identify and reconcile architectural gaps.


• Experience leading org-wide engineering projects through all lifecycle stages: inception, stakeholder engagement, implementation, and operations.


• Proven track record of overseeing incident management processes and directing on-call rotations in alignment with global best practices.


• Demonstrated ability to make sound engineering/business tradeoffs, considering long-term implications for the greater good of Uber.


• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.

Preferred Qualifications

• Experience building high-performance, scalable distributed systems at a 100M+ user scale.


• Expertise in real-time streaming frameworks (Flink, Spark) and OLAP systems (Apache Pinot, Druid) to reduce system complexity.


• Experience with Big Data/Hadoop ecosystem tools used to automate complex data orchestrations across multiple product areas.


• Strong leadership traits: Experience serving as a representative for the organization to the broader internal and external technical community.


• Proven ability to get alignment and buy-in for large-scale technology transformations across multiple job functions.