Lead Engineer - R01570935

Brillio; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Brillio in Bengaluru is seeking a Lead Engineer to drive AI-assisted full-stack development, leading autonomous coding agents across Angular and Python ecosystems. You will audit AI-generated code for security and performance, shape GraphQL and REST APIs, and align architectures with AWS and GCP standards, while guiding testing and CMS integration.

The role emphasizes hands-on cloud infrastructure, prompt engineering, and robust data layer design to deliver scalable web applications at pace.

Qualifications

• 4–6 years of full-stack development experience.
• Hands-on AI-assisted code review and architecture for cloud-native apps.
• Experience with AWS and GCP infrastructures.

Responsibilities

• Direct autonomous AI coding agents to generate, refactor, and scaffold full-stack features across Angular and Python environments.
• Audit AI-generated code for security, performance, and architectural alignment.
• Guide AI tools for API and data layers, including GraphQL schemas and RESTful APIs.
• Engineer repository context, database schemas, and infrastructure requirements for AI tools.
• Implement unit, integration, and end-to-end testing to ensure high coverage.
• Monitor and optimize cloud deployments across AWS and GCP for availability and compliance.
• Review and debug AI-generated logic to mitigate SQL injection and misconfigurations.
• Integrate and manage CMS platforms within web applications.

Skills

AI pair-programmers

Angular/TypeScript

Python

GraphQL

REST APIs

DynamoDB/SQL

AWS/GCP

Prompt engineering

Testing frameworks

CMS integration

Education

Bachelor's degree in CS/IT/SE

AWS/GCP/Cloud certification

Secure SDLC certification

Job description

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)