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. Writes reliable, clear, efficient, and well-tested code.
2. Designs systems by re-using existing solutions, building new ones when needed, and considering future needs.
3. Delivers results efficiently, manages tasks well, solves problems, and takes responsibility.
4. Builds strong relationships, respects others, and resolves conflicts constructively.
5. Improves efficiency by identifying and fixing problems in Uber's technology and teams.
6. Contributes to a positive work environment and the broader tech community.

---- Basic Qualifications ----

1. Bachelor's degree in Computer Science, Software Engineering, or a related field.
2. Proficiency in at least one programming language such as Java, Go, C++, etc.
3. Deep understanding of computer systems, which may include experience with backend services, large-scale systems, multi cloud infrastructure, etc.
4. Ability to contribute to technical innovation and problem-solving within a team setting.
5. 5+ years of experience as a software engineer and building large-scale distributed system
6. Experience in architecture design and developing high availability and high-performance systems.

---- Preferred Qualifications ----

1. Strong passion to learn new technologies quickly and adapt to a rapidly evolving business and technological landscape.
2. Strong teamwork and communication skills to effectively collaborate with other team members and stakeholders.
3. Enthusiasm for embracing new challenges and continuous learning to drive innovation.
4. Proven track record of scaling systems on a multi-cloud infrastructure.
5. Demonstrated ability to mentor junior engineers and drive engineering excellence.
6. Experience with machine learning infrastructure and AI technologies is advantageous.
7. Experience with Web technologies is advantageous.
8. Ability to perform in a fast-paced, multi-tasking environment with tight deadlines.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.