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We are seeking an experienced Sr. SQL Engineer focused on Code Reasoning & Benchmarking. The role involves designing algorithmically rich coding problems, building evaluation systems, and developing comprehensive benchmarks that test reasoning, correctness, and performance. This is a highly technical position requiring deep expertise in algorithms, system-level problem solving, and software engineering. The ideal candidate will be a creative problem designer and a detail-oriented engineer who can deliver production-ready artifacts within a short timeframe.
Job Responsibility:
Problem & System Design: Create algorithmically challenging coding problems that evaluate reasoning, correctness, and efficiency in real-world software scenarios
Robust Development: Write clean, modular, and production-quality Java code along with comprehensive test suites covering correctness, edge cases, and performance
Technical Specifications: Draft clear, precise, and unambiguous specifications and problem statements with well-defined constraints and evaluation criteria
Algorithm Coverage: Ensure strong representation across multiple domains including data structures, graph algorithms, number theory, performance optimization, and constraint-based design
Metadata & Documentation: Apply structured metadata to all problems including taxonomy, difficulty levels, and domain relevance to maintain consistency and reproducibility
Quality Assurance: Participate in peer reviews and validation cycles to maintain high engineering and system integrity standards
Deliverables: Provide well-documented, maintainable, and scalable outputs ready for integration into production environments or downstream applications
Requirements:
5+ years in software engineering, algorithm design, or systems-level programming
Strong command of SQL (4+ years) with ability to implement high-performance solutions
Solid understanding of complexity analysis, optimization, and computational constraints
Hands-on experience with test automation, benchmarks, or large-scale evaluation systems
Familiarity with version control (e.g., Git) and structured data formats (JSON, YAML)
Fluency in at least four of the following areas: Core Data Structures: Trie, Segment Tree, Union-Find
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