Technical Lead for Code Reviewer Project (worldwide remote, work anywhere)

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Requirements:

• Proven ability to take a project from concept through to production, including requirements gathering, design, testing, and maintenance.
• Experience with Jira (or similar) for task management, sprint planning, and reporting.
• Comfortable with iterative development, frequent releases, and fast feedback cycles.
• Proficiency in Git-based workflows (GitHub, GitLab, or Gerrit) and CI/CD setups (Jenkins, etc.).
• Strong knowledge of how to integrate automated checks and tests into pipelines.
• In-depth understanding of what makes a code review effective, including detection of security vulnerabilities, logical errors, performance bottlenecks, and style issues.
• Familiarity with AST-based or control-flow techniques to enable deeper analysis.
• Strong experience with Python and hands-on experience in other programming languages (preferably C/C++/PHP/Go).
• Awareness of common design patterns, best practices, and typical pitfalls across various tech stacks.
• Ability to independently explore new libraries or methods—especially around static analysis and potential AI-based enhancements—to continually improve the reviewer.

Responsibilities:

• Design and implement a system capable of reviewing code across multiple languages and projects.
• Incorporate advanced code analysis techniques (e.g., AST parsing, control flow analysis) to identify bugs, style inconsistencies, and potential security and performance issues.
• Ensure the reviewer can be extended or customized based on evolving requirements from diverse teams.
• Employ agile methodologies (Scrum/Kanban) to plan, track, and iterate on new features.
• Integrate seamlessly with CI/CD pipelines (GitHub, GitLab, Gerrit, Jenkins), making the reviewer easily adoptable by various R&D teams.
• Collaborate with DevOps to ensure smooth deployment and maintenance.
• Define and maintain code review standards, including style guidelines, security checks, and performance considerations.
• Work with development teams to refine pull/merge request processes, fostering a culture of high-quality code.
• Provide comprehensive review feedback and assist in automating repetitive checks to streamline manual review efforts.
• Engage with stakeholders and engineering teams to gather feedback and requirements.
• Communicate progress clearly and adapt the solution based on iterative input.
• Advocate for best practices, teaching others how to maximize the value of automated reviews.
• Investigate emerging tools and methodologies in static analysis, linting, and machine learning for potential integration.
• Prototype new features or approaches including AI/LLM usage to for code reviewing and unstructured data handling.