Lead Engineer
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 deliveryAudit and validate AI-generated code for security vulnerabilities, performance bottlenecks, and architectural alignment within AWS and GCP infrastructuresGuide AI tools to build and maintain robust API and data layers, including GraphQL schemas, RESTful APIs, and both relational SQL and DynamoDB databasesEngineer repository context, database schemas, and infrastructure requirements for AI tools, optimizing prompt engineering to maximize code accuracyImplement rigorous unit, integration, and end-to-end testing frameworks to ensure high test coverage and eliminate AI code hallucinationsMonitor and optimize cloud deployments across AWS and GCP, ensuring high availability, scalability, and compliance with industry standardsReview and debug AI-generated logic, proactively addressing risks such as SQL injection, broken object-level authorization, and cloud misconfigurationsIntegrate and manage CMS platforms within web applications, ensuring seamless content workflowsRequired Skills:
Advanced proficiency with AI pair-programmers and autonomous coding agents such as GitHub Copilot, AntiGravity, or KiroExpertise in Angular and TypeScript for frontend developmentStrong experience with Python for backend developmentComprehensive understanding of GraphQL schema design and implementationProficient in RESTful API architecture and developmentHands-on experience with Amazon DynamoDB and relational SQL databases such as PostgreSQL or MySQLDeep knowledge of AWS and GCP cloud infrastructure, deployment, and monitoringSkilled in prompt engineering for AI code generation and repository context managementExperience implementing unit, integration, and end-to-end testing frameworksExperience with CMS integration and management within web applicationsPreferred Skills:
Experience coding AI agents or customizing autonomous coding workflowsProficiency with React JS or Vue JS for additional frontend flexibilityExpertise in advanced cloud security practices and compliance frameworksFamiliarity with CI/CD pipelines and automated deployment toolsDesired Qualifications:
Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related disciplineRelevant certification such as AWS Certified Solutions Architect or Google Professional Cloud ArchitectCertification in secure software development or web application security (e.g., Certified Secure Software Lifecycle Professional)
