Sr. PHP Engineer focused on Code Reasoning & Benchmarking AquSag Technologies

5.0 - 9.0 years

0 Lacs

noida, uttar pradesh

On-site

We are looking for an experienced Sr. PHP Engineer with a focus on Code Reasoning & Benchmarking. In this role, you will be responsible for designing algorithmically rich coding problems, creating evaluation systems, and developing benchmarks that assess reasoning, correctness, and performance. This position demands a high level of technical expertise in algorithms, system-level issue solving, and software engineering. The ideal candidate should possess strong problem-solving skills, be detail-oriented, and capable of delivering production-ready solutions within tight deadlines. Key Responsibilities - Problem & System Design: Develop algorithmically challenging coding problems to assess reasoning, correctness, and efficiency in real-world software scenarios. - Robust Development: Write clean, modular Java code with comprehensive test suites covering correctness, edge cases, and performance. - Technical Specifications: Create clear, precise problem statements with well-defined constraints and evaluation criteria. - Algorithm Coverage: Ensure a broad representation across various domains including data structures, graph algorithms, number theory, performance optimization, and constraint-based design. - Metadata & Documentation: Apply structured metadata to all problems to maintain consistency and reproducibility. - Quality Assurance: Participate in peer reviews and validation cycles to uphold high engineering and system integrity standards. - Deliverables: Provide well-documented, maintainable, and scalable outputs suitable for integration into production environments or downstream applications. Requirements - Experience: Minimum of 5 years in software engineering, algorithm design, or systems-level programming. - Language Proficiency: Strong command of PHP (at least 4 years) with the 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 systems such as Git, and structured data formats like JSON and YAML. Domain Expertise Candidates should demonstrate proficiency 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 - Mathematics & Number Theory: Geometry, Probability, Modular Arithmetic - String Processing: Suffix Trees, Rolling Hashing, Pattern Matching - Advanced Topics: 2-SAT, FFT, Linear Programming,

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