Senior Java Developer (Database Engine)

About the Role

In this role, you will collaborate closely with a technical project lead and other team members to design and implement various database components. You will tackle challenging technical problems that often lack straightforward solutions, including, but not limited to:

• Query engines: relational operators, vectorized and compiled execution, resource scheduling.
• Cost-based query optimizers: relational optimization rules, statistics gathering, join graph enumeration.
• Storage layers: recovery, concurrent access, indexes, data spilling.
• Distributed algorithms: transaction protocol, data replication fault-tolerance.

We develop new databases in Java and C++. Additionally, we use:

• Apache Calcite for query optimization.
• Apache Arrow for vectorized and columnar data processing.
• RocksDB for storage-related tasks.
• LLVM for compiled query engines.

You Will

• Develop the system's core.
• Analyze open-source products and academic papers in the area of data management.
• Write design documents and prove the validity of your suggestions through cross-reviews and prototypes.
• Share your knowledge with the community through blog posts and conference talks.

You Have:

• Solid knowledge of foundational algorithms and data structures, and high motivation to learn theory and practice in the database and distributed systems domains.
• Strong analytical skills. Ability to grasp complex technical concepts and tie the impact of trade-offs to product goals.
• Strong knowledge of Java. Readiness to learn new languages and tooling.
• The thoughtful and empathetic mindset. A desire to partner with your teammates on challenging problems.
• Ability to communicate in English, both written and spoken.

Will be a plus:

• Research publications.
• Experience with databases or distributed systems.
• Experience with parallel algorithms and concurrency.
• Experience with big data stacks (Apache Spark, Apache Flink, etc).

We Offer:

• Working in a team of experts in the areas of data management and distributed systems.
• Extraordinary complex and interesting tasks.
• A competitive salary, above the market average.
• Fully remote work with flexible working hours.
• Paid sick leave and day-offs.
• Opportunity to speak at international conferences.