Lead Backend Developer

ment:

• Architect and implement new features and enhancements in Prestissimo and Presto engines.

• Write high-quality, scalable, and maintainable code primarily in C++ and Java.

• Collaborate with cross-functional teams to understand requirements and deliver solutions that meet business needs.

Optimization and Performance Tuning:

• Analyze and optimize the performance of distributed SQL queries.

• Utilize profiling tools to identify bottlenecks and implement performance improvements.

• Work on vectorization, SIMD (Single Instruction, Multiple Data), and adaptive runtime optimizations to enhance query performance.

Collaboration and Mentorship:

• Collaborate with team members, including software engineers, data scientists, and product managers, to deliver robust solutions.

• Mentor junior engineers, providing guidance on best practices, code reviews, and technical design.

4. Integration and Testing:

• Integrate Prestissimo with various data sources and platforms.

• Develop and maintain automated tests to ensure code quality and reliability.

• Conduct code reviews to maintain code quality and adherence to best practices.

5. Documentation and Knowledge Sharing:

• Create comprehensive documentation for new features and system changes.

• Participate in knowledge-sharing sessions to promote a culture of continuous learning and improvement.

6. Problem Solving and Debugging:

• Investigate and resolve complex technical issues reported by users or identified through monitoring.

• Develop tools and scripts to automate recurring tasks and improve operational efficiency.

7. Community Engagement:

• Contribute to open-source projects related to Prestissimo, Presto, and Velox.

• Engage with the community through forums, blogs, and conferences to share knowledge and gather feedback.

• Prestissimo: A C++ drop-in replacement for Presto workers, leveraging the Velox library for enhanced performance.

• Presto: An open-source distributed SQL query engine for running interactive analytic queries against data sources of all sizes.

• Velox: A core library that provides optimized data processing primitives to enhance the execution efficiency of query engines.

• Vectorization: A method of processing multiple elements of data in parallel using a single instruction, improving performance.

• SIMD (Single Instruction, Multiple Data): A type of parallel processing in CPUs that allows a single instruction to process multiple data points simultaneously.

• Adaptive Runtime Optimizations: Techniques that adjust the execution of queries in real-time based on the current workload and system conditions.

Required Technical and Professional Expertise

• Bachelor's degree in computer science or a related field

• Minimum 5 years of experience in software development, focusing on distributed systems or database engines.

• Proficiency in C++ and Java; strong understanding of distributed systems and database internals.

• Proven experience with performance profiling, optimization techniques, and the Velox library.

• Excellent problem-solving, collaboration, and communication skills; experience in leading technical discussions and projects.

Preferred Technical and Professional Expertise

• Experience with other programming languages like Python or Go
• Strong written and verbal communication skills
• Master's degree in computer science