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Software Engineer (C++ / Python) – Code Review 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 3 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

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