Senior Algorithm Engineer

2 weeks ago

Cochin, Kerala, India beBeeSoftware Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

Overview of the Role

The role entails designing complex coding challenges and evaluation systems that assess critical thinking, problem-solving, and technical expertise. You will develop robust software solutions, clear specifications, and comprehensive test suites across various domains.

Key Responsibilities:

  • Create challenging coding problems and systems that evaluate reasoning, planning, and correctness in real-world software scenarios.
  • Develop high-quality software solutions and test suites ensuring code robustness, accuracy, and coverage across edge cases.
  • Compose clear, unambiguous technical specifications and problem statements, balancing creativity and engineering precision.
  • Ensure thorough coverage across algorithmic and systems domains, including 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.

Required Skills and Qualifications

  • 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 highly desirable.
  • Familiarity with modern software data formats (e.g., JSON, YAML) and version-controlled codebases.
  • Demonstrated Expertise: Successful candidates will showcase deep knowledge in at least four of the following areas:
  • 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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