Lead Engineer

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

Required Skills:

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

Preferred Skills:

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

Desired Qualifications:

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)