Experience Range: With at least 8 years of professional software engineering experience, including a minimum of 2 years in technical leadership roles and deep expertise in front-end web development within AI-augmented environments Key Responsibilities:
Lead the design and development of modern, responsive, and scalable web applications, delivering exceptional user experience and performance
Architect and own front-end solutions, including reusable component libraries and enterprise UI standards
Develop high-quality user interfaces using React, Angular, Next.js, or similar frameworks, ensuring accessibility and cross-browser compatibility
Design and implement robust backend services and APIs using Node.js, .NET, Java, or Python, integrating seamlessly with enterprise systems
Mentor and guide development teams on architecture, coding best practices, and technical decision-making to drive engineering excellence
Collaborate with product owners, UX designers, architects, and engineering teams to deliver business-critical solutions
Drive technical excellence through code reviews, engineering standards, and quality governance
Partner with AI agents for code generation, testing, documentation, and review activities, leveraging AI-native development tools
Contribute across all phases of the SDLC: Plan, Design, Develop, Test, Deploy, Operate, and Optimize
Implement automated testing frameworks covering unit, integration, API, and UI testing to ensure code quality and reliability
Lead cloud-native deployments using CI/CD pipelines, Docker, Kubernetes, and cloud platforms, optimizing for scalability, security, and compliance
Identify and implement opportunities to improve engineering productivity through AI-driven development practices and automation
Required Skills:
Expert proficiency in React, Angular, Next.js, TypeScript, JavaScript (ES6+), HTML5, and CSS3
Experience building reusable component libraries and enterprise design systems
Strong understanding of responsive design, accessibility (WCAG), performance optimization, and modern UI patterns
Hands-on experience with Node.js, .NET, Java, or Python for backend development
API development using REST and GraphQL
Experience integrating front-end applications with enterprise backend services
Cloud-native development experience with Azure (preferred), AWS, or GCP
CI/CD pipeline automation using Azure DevOps, GitHub Actions, or similar tools
Containerization and orchestration using Docker and Kubernetes
Experience with SQL databases (SQL Server, PostgreSQL, MySQL) and NoSQL databases (Cosmos DB, MongoDB, DynamoDB)
Version control using Git and modern branching strategies
Hands-on experience with AI-assisted development tools such as GitHub Copilot, Copilot Workspace, Cursor, or similar platforms
Preferred Skills:
Experience with Micro Frontend Architecture
Experience with Enterprise Design Systems
Knowledge of Server-Side Rendering (SSR) and Static Site Generation (SSG)
Experience with event-driven architectures and message queues
Exposure to GenAI, Agentic AI platforms, or AI-powered applications
Understanding of observability tools, monitoring, logging, and distributed tracing
Ability to leverage prompt engineering techniques for software development tasks
Knowledge of responsible AI practices, governance frameworks, and human-in-the-loop systems
Desired Qualifications:
Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline
Relevant certification such as Microsoft Certified: Azure Developer Associate, AWS Certified Developer – Associate, or Google Professional Cloud Developer
Certification in front-end frameworks (e.g., React, Angular) or AI-native development tools is a plus
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