Sr. Software Engineer (C++ / Python) – Code Review
About the role
As a Sr. 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 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 issuesSolid 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 Google 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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