Uber Software Engineer II 

United States, West Virginia 

286964929

About the Role

- - - - What the Candidate Will Do ----

• Solve challenging and interesting engineering problems for Uber.
• Produce high quality code that is robust, efficient and maintainable; our primary languages are Java and Python.
• Demonstrate technical skills to go very deep or broad in solving classes of problems or creating broadly leverageable solutions.
• Interact with users directly to understand pain points and improve the systems.
• Collaborate with other talented team members within your group, smart technologists across product lines, to responsible leaders across Uber.
• Executes and contributes to the management of the end-to-end delivery of well-defined technical projects and solutions.

- - - - Basic Qualifications ----

• 4+ years of experience with software engineering. Sound understanding of computer architecture and CS fundamentals.
• Strong coding/debugging abilities: You have advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Python, Golang and Java.
• Big Data : Familiarity with big data technologies such as Hadoop, Spark, or Flink for batch processing and with real-time data processing frameworks like Apache Kafka
• Fast learner : We're looking for software engineers who thrive on learning new technologies and don't believe in one-size-fits-all solutions. You should be able to adapt easily to meet the needs of our massive growth and rapidly evolving business environment.
• Architecture: Knowledge of data structures and an eye for architecture. You can discuss the tradeoff between architectural choices, both on a theoretical level and on an applied level.
• Push the bar on engineering best practices and help leadership build a strong engineering culture
• Grit, drive and a strong feeling of ownership coupled with collaboration.

- - - - Preferred Qualifications ----

• Good 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.

* 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 .