Senior Algorithmic Software Engineer

1 week ago

Alwar, Rajasthan, India beBeeSoftware Full time ₹ 15,00,000 - ₹ 20,00,000

Job Role Overview

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The Code Reasoning / Code Benchmarks role involves designing complex coding problems and evaluation systems that test reasoning, correctness, and performance. This position requires strong software engineering skills, a deep understanding of algorithmic complexity, and experience with benchmarking or test automation.

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Day-to-Day Responsibilities

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  • Create algorithmically rich coding problems and systems that challenge reasoning, planning, and correctness in real-world software scenarios.\
  • Develop high-quality software solutions and comprehensive test suites, ensuring code robustness, correctness, and coverage across edge cases.\
  • Craft clear, unambiguous technical specifications and problem statements, balancing creativity and engineering precision.\
  • Ensure thorough coverage across algorithmic and systems domains, including classical data structures, performance engineering, mathematical logic, and constraint-based design.\
  • Apply structured metadata and documentation to development tasks, capturing taxonomy, difficulty, domain relevance, and reliability metrics.\
  • Participate in peer reviews and quality assurance processes to uphold rigorous engineering standards and system consistency.\
  • Deliver work in a maintainable, modular, and scalable format ready for production integration or downstream application use.\
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Requirements

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  • 5+ years of experience in software engineering, algorithm design, or systems-level programming.\
  • Strong proficiency in R with at least 4+ years of experience.\
  • Proven ability to write clear, concise, and technically challenging algorithmic code.\
  • Strong understanding of algorithmic complexity, performance optimization, and computational constraints.\
  • Experience with test automation, benchmark creation, or complex systems evaluation is a strong plus.\
  • Familiarity with modern software data formats (e.g., JSON, YAML) and version-controlled codebases.\
  • Domains of Expertise: Successful candidates will demonstrate deep 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, Fast Fourier Transform (FFT), Linear Programming\

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