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Junior Software Engineer

Weekday
Remote, IND
Contract
Entry · 3+ years experience
Remote
Discovered 2 days ago
gitjavajavascriptpythontypescript

Full Job Posting

Requirements

  • Key Responsibilities
  • AI-Generated Code Evaluation: Review AI-generated code for functional correctness, readability, maintainability, efficiency, and adherence to software engineering best practices.
  • Coding Problem Development: Design challenging programming problems that assess algorithmic thinking, debugging skills, implementation quality, and practical engineering judgment.
  • Reference Solution Creation: Develop accurate, well-structured reference solutions that demonstrate effective approaches to solving software engineering problems.
  • Test Case Development: Create comprehensive test cases to validate functionality, identify edge cases, and detect incomplete or incorrect implementations.
  • Technical Reasoning Assessment: Evaluate AI-generated explanations and decisions involving software architecture, system design, debugging, and implementation strategies.
  • Code Quality Analysis: Identify bugs, inefficient algorithms, poor design choices, security concerns, and violations of established coding standards.
  • Technical Feedback: Provide detailed, actionable feedback explaining errors, weaknesses, and opportunities to improve code quality and model performance.
  • Documentation: Clearly document problem requirements, expected behavior, solution approaches, testing procedures, and technical evaluation findings.
  • Quality Assurance: Ensure that coding tasks, reference solutions, and evaluation criteria are accurate, consistent, and reproducible.
  • Required Qualifications
  • At least one year of professional experience as a software engineer at a well-established technology company.
  • At least part of the relevant professional experience should have been gained within the past three years.
  • Strong understanding of programming fundamentals, data structures, algorithms, and object-oriented programming.
  • Practical experience writing, debugging, testing, and reviewing code.
  • Familiarity with software development practices, including version control, code reviews, testing, and debugging.
  • Ability to assess code for correctness, performance, readability, and maintainability.
  • Foundational understanding of software architecture and system design principles.
  • Strong analytical and problem-solving skills.
  • Excellent written communication skills, with the ability to explain technical decisions and complex engineering concepts clearly.
  • Ability to work independently and deliver accurate, high-quality technical assessments.
  • Must-Have Skills
  • Software Engineering Fundamentals
  • Programming and Coding
  • Data Structures and Algorithms
  • Code Review and Quality Assessment
  • Debugging and Troubleshooting
  • Automated Testing and Test Case Development
  • Problem-Solving and Logical Reasoning
  • Technical Documentation and Written Communication
  • Good-to-Have Skills
  • Python, Java, C++, JavaScript, TypeScript, Go, or similar programming languages
  • Object-Oriented Programming and Design Patterns
  • API Development and Backend Engineering
  • Software Architecture and System Design
  • Performance Optimization and Profiling
  • Git and Version Control
  • Unit Testing and Integration Testing
  • CI/CD and Software Development Workflows
  • AI-Generated Code Evaluation
  • Familiarity with AI coding assistants and model benchmarking
  • Preferred Qualifications
  • Professional software engineering experience at a recognized technology company.
  • Experience developing and maintaining production-quality applications, services, or APIs.
  • Familiarity with reviewing complex codebases and identifying implementation weaknesses.
  • Experience designing coding exercises, technical assessments, or automated evaluation tests.
  • Candidates based in English-speaking countries are preferred.
  • Ability to communicate technical findings in clear, structured, and concise English.

Preferred Qualifications

  • Professional software engineering experience at a recognized technology company.
  • Experience developing and maintaining production-quality applications, services, or APIs.
  • Familiarity with reviewing complex codebases and identifying implementation weaknesses.
  • Experience designing coding exercises, technical assessments, or automated evaluation tests.
  • Candidates based in English-speaking countries are preferred.
  • Ability to communicate technical findings in clear, structured, and concise English.

Responsibilities

  • AI-Generated Code Evaluation: Review AI-generated code for functional correctness, readability, maintainability, efficiency, and adherence to software engineering best practices.
  • Coding Problem Development: Design challenging programming problems that assess algorithmic thinking, debugging skills, implementation quality, and practical engineering judgment.
  • Reference Solution Creation: Develop accurate, well-structured reference solutions that demonstrate effective approaches to solving software engineering problems.
  • Test Case Development: Create comprehensive test cases to validate functionality, identify edge cases, and detect incomplete or incorrect implementations.
  • Technical Reasoning Assessment: Evaluate AI-generated explanations and decisions involving software architecture, system design, debugging, and implementation strategies.
  • Code Quality Analysis: Identify bugs, inefficient algorithms, poor design choices, security concerns, and violations of established coding standards.
  • Technical Feedback: Provide detailed, actionable feedback explaining errors, weaknesses, and opportunities to improve code quality and model performance.
  • Documentation: Clearly document problem requirements, expected behavior, solution approaches, testing procedures, and technical evaluation findings.
  • Quality Assurance: Ensure that coding tasks, reference solutions, and evaluation criteria are accurate, consistent, and reproducible.

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