Software Engineer II - Frontend / Fullstack

Uber
Bangalore, IndiaPosted 5 March 2026

Job Description

Software Engineer II - Frontend / Fullstack Department: Engineering Team: Frontend Location: Bangalore, India Type: Full-Time **About the Role** **The Ads Billing and Managed Services teams within Uber Ads have a crucial focus: implementing lead-to-cash automation**. This effort is vital for Uber Ads, a high-growth business focused on expanding the Advertiser base and increasing visibility. The core objective is to achieve frictionless execution, which will speed up campaign go-live times and guarantee accurate billing for our advertisers. As an engineer, you will be a key stakeholder in advancing this goal, directly supporting Uber Ads' high-growth mission. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- 1. **Build and Scale:** Design and implement user-facing features for critical web properties, ensuring high availability and performance at scale. 2. **Code Quality:** Write clean, efficient, and well-tested code, serving as a role model for coding standards and best practices. 3. **Cross-Functional Collaboration:** Partner with Product, Design, and Data Science to turn ambiguous business needs into concrete technical specifications. 4. **System Design:** Make architectural decisions that balance immediate product needs with long-term system health and extensibility. 5. **Operational Excellence:** Proactively identify performance bottlenecks and technical debt, driving initiatives to improve system reliability and developer efficiency. \-\-\-\- Basic Qualifications ---- 1. Bachelor’s degree in Computer Science, Software Engineering, or a related field. 2. 3+ years of professional software engineering experience, with a focus on large-scale, high-traffic web applications. 3. Hands-on experience and proficiency in a modern web framework such as JavaScript, React, VueJS, or Angular, plus HTML and CSS. 4. Proficiency in fundamental algorithms and data structures, including hash tables, trees, stacks, queues, linked lists, DFS, and BFS. 5. Demonstrated understanding of modern web application architecture and design patterns, and their implication
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