Software Engineer, Tech Lead - Engineering Efficiency and AI Code Assistant

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

About the Team
The Quality Technology Team focuses on the quality domain, providing a series of AI-powered products and tools throughout the entire software engineering lifecycle from development, testing, and changes to online operation and maintenance. We leverage cutting-edge artificial intelligence to offer comprehensive quality improvement solutions, helping businesses quickly build advanced quality technology capabilities. Our AI-driven tools excel in areas such as automated code review, intelligent test generation, change risk prediction and control, architectural risk governance, and adaptive monitoring and emergency response. By integrating AI into quality processes, we enable businesses to enhance quality built-in practices, improve testing efficiency, and streamline automated testing workflows.

What You'll Do
We are seeking an exceptional Software Engineer with deep expertise in Code Review (CR) and Unit Testing (UT) to join our innovative team. You will work closely with our Machine Learning Engineers to integrate AI-driven solutions into our development processes.

Key Responsibilities
- Code Review Expertise: Lead and manage code review processes, ensuring adherence to best practices and high-quality standards. Provide insightful feedback and mentorship to improve code quality and team practices.
- Unit Testing Mastery: Design, develop, and maintain robust unit testing frameworks. Identify common challenges in unit testing and implement solutions to enhance test coverage and effectiveness.
- Pain Points and Challenges: Analyze and address the pain points and challenges associated with code review and unit testing. Develop strategies and tools to mitigate these issues and streamline processes.
- Collaboration with MLEs: Work closely with Machine Learning Engineers specializing in code LLMs. Provide domain expertise to help integrate AI-driven code review and testing solutions effectively.
- Continuous Improvement: Stay current with industry trends and advancements in software engineering practices. Propose and implement innovative solutions to improve code review and unit testing methodologies.
- Documentation and Knowledge Sharing: Document best practices, processes, and solutions. Share knowledge and provide training to team members on effective code review and unit testing techniques.Minimum Qualification
- Bachelor's degree or higher in a computer science related field;
- Demonstrated experience as a Software Engineer with a strong track record in code review and unit testing. Proven ability to manage and improve these processes in a development environment.
- Technical Skills: Proficiency in programming languages such as GoLang (preferred), Python, Java, or C++. Solid understanding of code review tools, unit testing frameworks, and related software engineering practices.
- Deep Understanding: Extensive knowledge of code review and unit testing principles, including common challenges and solutions. Experience with large-scale codebases and complex software systems.
- Problem-Solving: Strong problem-solving skills with the ability to analyze and address issues related to code quality and testing processes comprehensively.
- Interest in LLMs: A strong interest in Large Language Models (LLMs) with some understanding of their applications in code-related tasks. Familiarity with how LLMs can enhance code review and unit testing processes is a plus.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2

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