Coding Expert (Multi-Language)

Cashback24x7; India; Remote; INR 2,066,000 - 4,822,000; Part time

Job summary

Cashback24x7 is seeking a Coding Expert (Multi-Language) to join the remote evaluations team. You will review and refine multi-language coding challenges and solutions, ensuring high-quality AI-generated interview content for technical assessments.

You will assess code quality, promote best practices, and provide actionable feedback on correctness, efficiency, and maintainability. This role emphasizes API work, testing, and collaboration across distributed teams.

Qualifications

• 3+ years of hands-on software engineering experience.
• Proficiency in Python, JavaScript, TypeScript, and GoLang.
• Strong knowledge of data structures and algorithms.
• Experience with code reviews, debugging, and software design principles.
• Experience with Git and API development.
• Familiarity with testing methodologies and QA practices.
• Commitment to clean code and comprehensive documentation.
• Experience working in distributed teams is a plus.

Responsibilities

• Assess, review, and validate multi-language coding challenges and their solutions for technical interviews.
• Identify and resolve inefficiencies, ensuring all content aligns with best practices in software development.
• Collaborate with the internal team to elevate the standard of AI-generated interview materials.
• Provide constructive feedback to enhance code correctness, efficiency, and maintainability.
• Ensure adherence to clean code principles, robust documentation, and professional coding standards.
• Contribute to the development, review, and optimization of API integration and data structure implementations.
• Promote and implement comprehensive testing and quality assurance measures across all content.

Skills

Python

JavaScript

TypeScript

Go

Data structures

Algorithms

Code review

Git

Testing

Documentation

Clean code

Tools

APIs

API development

Version control

CI/CD

Job description

Job Title: Coding Expert (Multi-Language)

Job Type: Contractor

Location: Remote

Job Summary:Join our team as a Coding Expert (Multi-Language) and play a pivotal role in advancing AI-driven technical evaluation. As part of the internal evaluations team at Micro1, you will leverage your deep expertise to review, refine, and enhance coding challenges and solutions, ensuring high standards for technical interview content. This role focuses on improving the quality and accuracy of AI-generated interview materials, making a direct impact on the future of software engineering assessment.

Key Responsibilities:

• Assess, review, and validate multi-language coding challenges and their solutions for technical interviews.
• Identify and resolve inefficiencies, ensuring all content aligns with best practices in software development.
• Collaborate with the internal team to elevate the standard of AI-generated interview materials.
• Provide constructive feedback to enhance code correctness, efficiency, and maintainability.
• Ensure adherence to clean code principles, robust documentation, and professional coding standards.
• Contribute to the development, review, and optimization of API integration and data structure implementations.
• Promote and implement comprehensive testing and quality assurance measures across all content.

Required Skills and Qualifications:

• Proficiency in Python, JavaScript, Typescript, and GoLang.
• Exceptional knowledge of data structures and algorithms.
• Strong background in code review, debugging, and software design principles.
• Extensive experience with version control systems, especially Git.
• Expertise in API development and integration.
• Solid grasp of testing methodologies and QA best practices.
• Commitment to clean code, comprehensive documentation, and continuous improvement.
• At least 3 years of hands-on software engineering experience.

Preferred Qualifications:

• Previous experience in technical interview content creation or evaluation.
• Background in AI or machine learning-driven projects.
• Strong collaboration skills and experience working in distributed teams.