Code Review - Software Engineer (C++ / Python)

About The Role

As a Software Engineer (C++ / Python) – Code Review , you will ensure high-quality, reliable, and efficient code across large-scale systems, including AI-generated code. You will be a valued member of the engineering team with Google and work collaboratively with developers, reviewers, and cross-functional stakeholders to assess and improve code quality, standards, and performance

In This Role, You Will

• Proficiency in C++ (strongly preferred)

• Good to have experience in one of the following: Java / Python / GoLang / TypeScript

• Review and evaluate code changes (CLs), including AI-generated code, to ensure correctness, performance, readability, and alignment with best practices

• Provide clear, actionable feedback to improve code quality and maintainability

• Analyze AI-generated code changes to identify risks, inconsistencies, or inefficiencies

• Collaborate with engineering teams to uphold coding standards and testing practices

• Support continuous improvement of code review processes and tooling

Work model

This is a hybrid position requiring 2 days a week in a Cognizant office .

Shift

• Monday to Friday

• 9:00 to 18:00 or 10:00 to 19:00 (local time)

What You Need To Have To Be Considered

• Proficiency in C++ and Python (strongly preferred)

• Strong code review experience with the ability to assess code for quality, scalability, and adherence to standards

• Experience reviewing AI-generated code and identifying potential issues

• Solid understanding of unit testing, integration testing, and fuzz testing concepts

• Strong analytical and problem-solving skills

• English level: Upper Intermediate or above

• Excellent written communication skills with the ability to provide concise, constructive feedback

These Will Help You Stand Out

• Experience with development tools such as Critique, Cider, Piper, or Buganizer

• Familiarity with AI/ML concepts, especially in the context of code generation and evaluation

• Experience working in large-scale or distributed systems environments

• Ability to quickly learn new tools and adapt to evolving engineering processes