Lead Engineer - R01570935

Brillio 2; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Brillio 2 is seeking a Lead Engineer to oversee AI-driven full-stack development for cloud-native web applications. You will direct autonomous coding agents across Angular and Python, audit AI output for security and performance, and ensure architectural alignment on AWS/GCP.

Responsibilities include designing GraphQL schemas, REST APIs, and database layers; enforcing testing strategies; and managing CMS integrations. A strong background in cloud infra and secure coding is required.

Qualifications

• Degree and certifications as listed above; hands-on AI-assisted development experience preferred.
• Experience architecting cloud-native web apps and reviewing AI-generated code.
• Proven ability to design GraphQL schemas and RESTful APIs.

Responsibilities

• Direct autonomous AI coding agents to build full-stack features across Angular and Python.
• Audit AI-generated code for security, performance, and cloud alignment (AWS/GCP).
• Guide AI tools to implement APIs, GraphQL, and database layers.
• Define repository context and infrastructure requirements for AI tools.
• Implement unit, integration, and end-to-end testing to ensure coverage.
• Monitor cloud deployments for availability, scalability, and compliance.
• Review AI-generated logic to prevent SQL injection and misconfig.
• Integrate and manage CMS platforms within web apps.

Skills

AI pair-programmers

Angular & TypeScript

Python backend

GraphQL schemas

RESTful APIs

DynamoDB & SQL databases

AWS & GCP

Prompt engineering

Testing frameworks

CMS integration

Education

Bachelor's degree in CS/IT/SE

AWS Certified Solutions Architect or Google Professional Cloud Architect

Secure SDLC / secure software development cert

Job description

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 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)