Software Engineer

Employer: Uber Technologies, Inc.

Job Title: Software Engineer

Job Location: Sunnyvale, California

Job Type: Full Time

Rate of Pay: $264,514 to $317,417 per year

You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits .

Duties: Design and implement end-to-end Business Intelligence (BI) solutions, including query generation, data governance, performance optimization, execution frameworks, analytics extraction, and visualization components. Develop and maintain scalable software systems that support a global analytics platform, enabling data-driven decision-making across various business units. Design and implement distributed, low-latency algorithms for interactive and large-scale data processing using technologies such as Presto, Spark, and MySQL. Build, enhance, and optimize core components of Uber's BI ecosystem, including backend services, query engines, and interactive analytics tools. Optimize performance and scalability of cloud-based SQL BI solutions, with an emphasis on reducing latency and improving user experience. Collaborate with cross-functional teams, including data engineering, product management, and infrastructure, to define system requirements and deliver integrated solutions. Contribute to open-source initiatives, including participation in the Presto community, code contributions, technical talks, and developer engagement. Support internal users by troubleshooting issues, maintaining documentation, and ensuring the reliability and performance of analytics tools and services. May telecommute.

Employer will accept a Master's degree in Computer Science, Artificial Intelligence, or related field, and four years of experience in the job offered or in a related occupation.

Position Requires

• Managing production systems with high availability and strict SLA requirements;
• Cloud-based data platforms such as AWS, Kubernetes, or BigQuery;
• Java, Python, or SQL;
• Large-scale distributed systems (HDFS or YARN) and cloud infrastructure;
• Deep microservices planning, optimization techniques, and performance tuning.