Staff Software Engineer, Amplitude

• B.S., M.S., or Ph.D. in Computer Science or another technical field
• 7+ years of industry experience in a Software Engineering role
• A strong foundation in multi-threading programming, data structures, algorithms, and software application design
• Passion about solving challenging problems and iterating quickly
• Strong communication skills and leadership
• Experience with Java, C++ or Python
• Previous experience in distributed systems, data processing, and analytics

Desirable

• We're looking for a Staff Software Engineer to help build our query engine and tackle big challenges in a fast-growing data company
• Our engineers are leading the efforts to drive our large-scale distributed systems to the 10x level while making innovations to our industry-leading analytics capabilities
• As a Staff engineer of the Query team, you will be responsible for designing, building, and operating the underlying distributed systems that power our core analytics product and other products(eg: experiments, CDP, session reply)
• You will be working at all layers of the query engine from the high-level analytics algorithms to the low-level distributed computation and storage layer
• Our systems are based on the modern cloud stack e.g. AWS S3, DynamoDB, Redis/ElastiCache, Kafka, Kubernetes, Terraform, Java, C++, Python
• You will be collaborating and sharing your ideas with a group of similarly innovative and curious engineers
• Our query engine (Nova) provides us with a competitive edge where we can provide customers with complex insights in real-time, using real-time data, and at a big data scale
• A single larger query would require analyzing hundreds of billions of user events in real time
• We achieved this by building an in-house OLAP database from the ground up, from the low-level distributed storage and computation layer to the high-level product analytics logic
• Our design and architecture draw inspiration from many state-of-the-art systems in the big data space and we learned best practices from Druid, Scuba, Dremel, and other open-source projects(Apache Arrow, Apache IceBerg, etc) to build our own query engine
• Take product ideas from ideation to implementation, develop components and services that expand the capabilities of our analytics product
• Scaling the infrastructure for our rapid data growth
• Improving the system availability to be best in class
• Optimizing performance to be blazingly fast
• Lead engineering discussions and mentor others on engineering best practices