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Lead Software Development Specialist
2 weeks ago
We are seeking a skilled Senior PHP Engineer with expertise in code reasoning and benchmarking.
This role involves designing complex coding problems, building evaluation systems, and developing comprehensive benchmarks that test reasoning, correctness, and performance.
The ideal candidate will be a creative problem designer and a detail-oriented engineer who can deliver production-ready artifacts within a short timeframe.
Key Responsibilities:- Problem Design: Create algorithmically challenging coding problems that evaluate reasoning, correctness, and efficiency in real-world software scenarios.
- Development: Write clean, modular, and production-quality code along with comprehensive test suites covering correctness, edge cases, and performance.
- 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.
- Experience: 5+ years in software engineering, algorithm design, or systems-level programming.
- Language Proficiency: Strong command of PHP (4+ years) with ability to implement high-performance solutions.
- Algorithmic Strength: Solid understanding of complexity analysis, optimization, and computational constraints.
- Test Engineering: Hands-on experience with test automation, benchmarks, or large-scale evaluation systems.
- Tooling Knowledge: Familiarity with version control (e.g., Git) and structured data formats (JSON, YAML).
- Candidates should demonstrate fluency in at least four of the following areas:
- Core Data Structures: Trie, Segment Tree, Union-Find
- Algorithmic Paradigms: Dynamic Programming, Greedy Algorithms, Bitmasking
- Graph Algorithms: Shortest Paths, Network Flow, Topological Sorting