Senior Staff Software Engineer

1 month ago

San Francisco, California, United States Uber Full time

About the Role

This role is on the Courier Pricing team within the Marketplace organization. As a Senior Staff Software Engineer on the Courier Pricing team, you will interact with a wide range of data and analytic events to build a best-in-class pricing system to efficiently price each offer made to Uber delivery partners. This work is continuing to define the courier niche in the global delivery marketplace.

We research new models and algorithms and build platforms to serve our insights to customers at Uber scale. You will be working with world-class talent and surrounded by some of the world's most experienced engineering professionals, data scientists, and research scientists on user-facing products with global impact. This is your chance to develop groundbreaking technology that will touch every Uber trip

What the Candidate Will Do:

You will design, code, test, and launch backend features, data engineering pipelines, and ML-based product features at a global scale.Own important components of the pricing ecosystem end-to-end.Influence, define and own the vision and roadmap for the product.Interact with users directly to understand pain points and improve the systems.Raise the code quality bar and define the technical direction for the product stack.Collaborate with other members of the team to ship complex projects fast and with quality.Solve challenging data problems with cutting-edge design and algorithms.Coach and mentor junior and new team members.
Basic Qualifications:

Strong experience in Software Design and Architecture, Data Engineering, and Modeling, having experience in scaled Distributed systems.Experienced programming in Java, Golang, C++, Python or related languageSound understanding of Computer architecture and CS fundamentals.Sound leadership skills including technically coaching and mentoring team members.
Preferred Qualifications:

Minimum 10 years of experience in software engineering focusing on large-scale systems and/or data engineering with a proven track record as a technical leaderGood problem-solving and analytical skills. Knowledge of algorithms, data structures, and complexity analysis.Understanding of distributed systems and architecture.Proven experience in large-scale distributed storage and database systems (SQL or NoSQL, e.g. MySQL, Cassandra).Experience with data-driven architecture and systems design knowledge of Hadoop-related technologies such as HDFS, Apache Spark, Apache Flink, Hive, and Presto.Good team player and collaboration skills. Passion to take ownership & responsibility.Machine learning hands on experience is preferred, however deep ML knowledge is not required
For New York, NY-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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.

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