Lead Engineer – R01571024

Job requirements

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
• Experience developing enterprise SaaS applications
• 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

Responsibilities

• Lead end-to-end execution of projects and cross-functional deliverables for Lead Engineer - R01571024.
• Collaborate closely with departmental peers and stakeholders to ensure seamless operational continuity.
• Monitor core performance KPIs, troubleshoot bottlenecks, and implement optimization protocols.
• Champion high quality standards, peer reviews, and comprehensive team documentation.