Uber Sr Software Engineer 

United States, West Virginia 

513700158

Code: Produces top-tier code, ensuring reliability, readability, efficiency, and testability. Conducts thorough code reviews and develops comprehensive tests and quality documentation in adherence to software engineering principles. Demonstrates proficiency in data structures, algorithms, programming languages, frameworks, and key phases of the software development life cycle. Proactively identifies, reports, and resolves technical issues in accordance with industry standards and best practices.

Design: Applies software design principles and leverages knowledge of existing Uber software solutions to create, extend, or develop effective architectures aligned with project requirements. Anticipates and adapts to evolving design needs, evaluating trade-offs to deliver systems capable of meeting current and future demands.

- - - - Basic Qualifications ----

We are looking for experienced smart engineers who are passionate about the domain and the technology. Those who have a track record of ownership, execution quality, and customer obsession.

1. Bachelor's degree in Computer Science or related technical field or equivalent practical experience
2. 6+ years Experience coding using general-purpose programming language (eg. C/C++, Java, Python, Go, C#, or Javascript)
3. Strong experience in architecture design, high availability, and high-performance systems.
4. Deep understanding of distributed systems.

- - - - Preferred Qualifications ----

1. Expertise in backend programming languages such as Python, Java, Go, or Node.js, with a deep understanding of building scalable and high-performance APIs and microservices architecture.
2. Demonstrated ability to solve complex backend engineering challenges and design robust, fault-tolerant systems with a focus on security, scalability, and maintainability.
3. Experience building and maintaining complex, large scale, highly available distributed systems
4. Experience building and maintaining complex data processing pipelines using Spark, Flink, Hadoop, Hive, Storm, etc.
5. Demonstrated ability to collaborate with others and promote an inclusive work environment
6. Familiarity with agile methodologies

* 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 .