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AI-Powered Job Summary
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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 ----
- Build and Scale: Design and implement user-facing features for critical web properties, ensuring high availability and performance at scale.
- Code Quality: Write clean, efficient, and well-tested code, serving as a role model for coding standards and best practices.
- Cross-Functional Collaboration: Partner with Product, Design, and Data Science to turn ambiguous business needs into concrete technical specifications.
- System Design: Make architectural decisions that balance immediate product needs with long-term system health and extensibility.
- Mentorship: Mentor engineers on the team, providing technical guidance, code reviews, and support on complex engineering challenges.
- Operational Excellence: Proactively identify performance bottlenecks and technical debt, driving initiatives to improve system reliability and developer efficiency.
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- 5+ years of professional software engineering experience, with a focus on large-scale, high-traffic web applications.
- Hands-on experience and proficiency in a modern web framework such as JavaScript, React, VueJS, or Angular, plus HTML and CSS.
- Proficiency in fundamental algorithms and data structures, including hash tables, trees, stacks, queues, linked lists, DFS, and BFS.
- Demonstrated understanding of modern web application architecture and design patterns, and their implications for performance and scalability.
- Ability to contribute to technical innovation and problem-solving within a team setting.
- Experience in architecture design and developing high availability and high-performance systems.
- Strong passion to learn new technologies quickly and adapt to a rapidly evolving business and technological landscape.
- Strong teamwork and communication skills to effectively collaborate with other team members and stakeholders.
- Enthusiasm for embracing new challenges and continuous learning to drive innovation.
- Proven track record of scaling systems on a multi-cloud infrastructure.
- Demonstrated ability to mentor junior engineers and drive engineering excellence.
- Experience with machine learning infrastructure and AI technologies is advantageous.
- Experience with back-end systems (e.g., Go, Python, TypeScript) is advantageous.
- Ability to perform in a fast-paced, multi-tasking environment with tight deadlines.
Key Skills
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