JavaScript Engineer focused on Code Reasoning & Benchmarking Aqusag Technologies

4.0 - 7.0 years

8 - 12 Lacs

noida

Work from Office

We are seeking an experienced Sr JavaScript 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, Key Responsibilities 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 Experience: 5+ years in software engineering, algorithm design, or systems-level programming, Language Proficiency: Strong command of JavaScript (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), Domain Expertise 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 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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