Lead Engineer - R01570935

Job requirements

Experience Range: With at least 4 to 6 years of full-stack development experience, including hands-on expertise architecting and reviewing AI-generated code for cloud-native web applications Key Responsibilities:

• Direct autonomous AI coding agents to generate, refactor, and scaffold full-stack features across Angular and Python environments, ensuring rapid and accurate delivery
• Audit and validate AI-generated code for security vulnerabilities, performance bottlenecks, and architectural alignment within AWS and GCP infrastructures
• Guide AI tools to build and maintain robust API and data layers, including GraphQL schemas, RESTful APIs, and both relational SQL and DynamoDB databases
• Engineer repository context, database schemas, and infrastructure requirements for AI tools, optimizing prompt engineering to maximize code accuracy
• Implement rigorous unit, integration, and end-to-end testing frameworks to ensure high test coverage and eliminate AI code hallucinations
• Monitor and optimize cloud deployments across AWS and GCP, ensuring high availability, scalability, and compliance with industry standards
• Review and debug AI-generated logic, proactively addressing risks such as SQL injection, broken object-level authorization, and cloud misconfigurations
• Integrate and manage CMS platforms within web applications, ensuring seamless content workflows

• Advanced proficiency with AI pair-programmers and autonomous coding agents such as GitHub Copilot, AntiGravity, or Kiro
• Expertise in Angular and TypeScript for frontend development
• Strong experience with Python for backend development
• Comprehensive understanding of GraphQL schema design and implementation
• Proficient in RESTful API architecture and development
• Hands-on experience with Amazon DynamoDB and relational SQL databases such as PostgreSQL or MySQL
• Deep knowledge of AWS and GCP cloud infrastructure, deployment, and monitoring
• Skilled in prompt engineering for AI code generation and repository context management
• Experience implementing unit, integration, and end-to-end testing frameworks
• Experience with CMS integration and management within web applications

• Experience coding AI agents or customizing autonomous coding workflows
• Proficiency with React JS or Vue JS for additional frontend flexibility
• Expertise in advanced cloud security practices and compliance frameworks
• Familiarity with CI/CD pipelines and automated deployment tools

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline
• Relevant certification such as AWS Certified Solutions Architect or Google Professional Cloud Architect
• Certification in secure software development or web application security (e.g., Certified Secure Software Lifecycle Professional)