BR
BrillioLead Engineer - R01570935
LocationBangalore, Karnataka, India
Typefull-time
SeniorityLead
Experience4–6 yrs
DepartmentMEC, MEC : MEC
Company size5,001–10,000 people
PostedSep 7, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
4 to 6 years of full-stack development experience
Hands-on expertise architecting and reviewing AI-generated code for cloud-native web applications
Direct autonomous AI coding agents to generate, refactor, and scaffold full-stack features across Angular and Python environments
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
Monitor and optimize cloud deployments across AWS and GCP, ensuring high availability, scalability, and compliance
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
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
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)
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
Skills
Angular
TypeScript
Python
GraphQL
RESTful API
Amazon DynamoDB
PostgreSQL
MySQL
AWS
GCP
GitHub Copilot
AntiGravity
Kiro
React JS
Vue JS
CI/CD
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:
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)