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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 ----
- Writes reliable, clear, efficient, and well-tested code.
- Designs systems by re-using existing solutions, building new ones when needed, and considering future needs.
- Delivers results efficiently, manages tasks well, solves problems, and takes responsibility.
- Builds strong relationships, respects others, and resolves conflicts constructively.
- Improves efficiency by identifying and fixing problems in Uber's technology and teams.
- Contributes to a positive work environment and the broader tech community.
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Proficiency in at least one programming language such as Java, Go, C++, etc.
- Deep understanding of computer systems, which may include experience with backend services, large-scale systems, multi cloud infrastructure, etc.
- Ability to contribute to technical innovation and problem-solving within a team setting.
- 5+ years of experience as a software engineer and building large-scale distributed system
- 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 Web technologies is advantageous.
- Ability to perform in a fast-paced, multi-tasking environment with tight deadlines.
Key Skills
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