Sr. Java Engineer

5 - 10 years

8 - 12 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

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 Java (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:

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