Uber Staff Software Engineer - Real Time Analytics 

United States, West Virginia 

209311136

What the Candidate Will Do

• Design and build a high-performance real-time analytics infrastructure, prioritizing scalability, reliability, and efficiency.
• Work with related data infrastructure technologies such as Apache Kafka, Apache Flink, Apache Spark, and HDFS.
• Collaborate with multiple cross-functional teams to define requirements and translate them into technical specifications.
• Devise and implement solutions that seamlessly scale with the growing needs of our user base.
• Mentor junior engineers, fostering a culture of knowledge exchange and continuous improvement.
• Actively contribute and engage in the open-source Apache Pinot community.

Basic Qualifications

• BS or MS in Computer Science or a related technical discipline, or equivalent experience.
• Highly proficient in one of the following programming languages: Java, Go, C/C++.
• Systematic problem solving approach and knowledge of algorithms, data structures and complexity analysis.
• 6+ years of experience in building and managing distributed systems. Sound understanding of distributed system fundamentals.

Preferred Qualifications

• Under the hood experience with Apache Pinot, Apache Druid, Apache Flink, Clickhouse, Apache Spark or similar analytics technologies is a strong plus
• Experience managing large-scale critical production systems with a strong availability SLA is highly desirable

For San Francisco, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.