Context Engineering Lead – React/Node.js & GitHub Copilot
Relevance Lab (company site, opens in a new tab)10–12 yrsRemoteDirect career pageEst. 28–40 LPA
Posted 4h ago
Reach people at Relevance Lab
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Relevance Lab you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead engineering delivery for a reusable customer authentication service using React and Node.js.
- Establish and enforce practical context-engineering approaches for GitHub Copilot and other AI coding tools to enhance software implementation, testing, and documentation while maintaining engineering standards.
- Guide integration with AWS Cognito, ODL, RSA, enterprise services, and conduct support activities including integration testing, UAT, defect resolution, and production readiness.
Minimum Requirements
- 10-12 years total work experience with 3-4 years relevant experience in React and Node.js development.
- Strong hands-on development expertise with React and Node.js, including API design and integration for customer-facing applications.
- Practical experience using GitHub Copilot or comparable AI coding assistant, with ability to formulate effective prompts and provide codebase context.
- Experience integrating AWS Cognito, ODL, RSA, or equivalent authentication, identity, and MFA systems; familiarity with OIDC/SAML federation or enterprise integration.
Ideal Candidate Profile
- Experienced in leading engineering practices and mentoring developers, especially in AI-assisted coding environments.
- Skilled in reviewing, debugging, and testing AI-generated code to ensure correctness, security, maintainability, accessibility, and performance.
- Able to operationalize AI coding tools like GitHub Copilot for implementation, refactoring, test generation, debugging, and documentation in identity and authentication domains.