UI Developer

We are seeking a seasoned Senior Full-Stack Developer to design, build, and maintain robust, scalable, and high-performance applications, with a primary focus on developing exceptional user experiences using Angular. The role also involves integrating backend services and working with AWS cloud infrastructure. The ideal candidate will be a self-starter who thrives in a collaborative environment and has a strong understanding of modern web technologies, cloud architecture, and AI-assisted software engineering practices. The candidate should be comfortable using modern AI-powered development tools to accelerate development, improve code quality, automate testing, optimize cloud operations, and enhance engineering productivity. available for a mandatory onsite interview. Key Responsibilities Design and develop modular, reusable, and testable interactive features using Angular and TypeScript. Implement robust state management solutions such as NgRx or Akita and manage complex asynchronous data streams using RxJS. Collaborate with UI/UX designers to translate wireframes and mockups into high-quality, pixel-perfect implementations. Use AI-assisted development tools for rapid prototyping, code optimization, refactoring, and debugging while adhering to engineering standards. Architect, deploy, and manage scalable backend services and microservices. Configure and manage AWS cloud infrastructure, including serverless architectures using Lambda and API Gateway where applicable. Design and implement secure and optimized RESTful or GraphQL APIs. Manage database integrations, including efficient queries and schema design for SQL databases using RDS and NoSQL databases using DynamoDB. Leverage AI-enabled cloud monitoring and observability tools for performance optimization, incident analysis, and operational efficiency. Support automation initiatives using AI-powered infrastructure management and deployment practices. Adopt AI-assisted software development practices to improve delivery speed, code quality, and engineering productivity. Use AI tools responsibly for code suggestions, documentation generation, test automation, defect analysis, and technical research. Validate AI-generated outputs for security, scalability, maintainability, and compliance with enterprise standards. Identify opportunities to integrate Generative AI and intelligent automation capabilities into enterprise applications. Participate in code reviews, testing, CI/CD activities, and Agile/Scrum delivery processes. Required Qualifications 7+ years of professional software development experience. 4+ years of hands-on Angular development experience. Substantial hands-on experience building and deploying applications on AWS. Strong experience with Angular 14+, TypeScript, RxJS, and modern frontend development practices. Experience with NgRx, Akita, or similar state management technologies. Strong knowledge of HTML5, CSS3/SASS, responsive design, and frontend performance optimization. Experience with AWS services including EC2, Lambda, S3, RDS, DynamoDB, API Gateway, and IAM. Experience with Java and/or Python for backend development and integration. Strong experience designing and consuming RESTful APIs and familiarity with GraphQL. Experience with microservices architecture and cloud-based application development. Experience with Git and CI/CD pipelines such as AWS CodePipeline, Jenkins, or GitHub Actions. Experience with Docker and Infrastructure-as-Code tools such as Terraform or AWS CloudFormation. Experience implementing secure coding standards, automated testing practices, and cloud security best practices. Experience with automated code quality analysis and security scanning tools such as SonarQube. Strong exposure to AI-assisted development tools such as GitHub Copilot, ChatGPT, Amazon CodeWhisperer, or similar platforms. Strong problem-solving, communication, and technical documentation skills. Ability to articulate complex technical concepts to technical and non-technical stakeholders. Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Preferred Qualifications Experience integrating Generative AI capabilities, AI APIs, or enterprise AI platforms into applications. AWS Certified Developer – Associate or AWS Certified Solutions Architect certification. Experience with observability platforms such as CloudWatch, Datadog, Grafana, or New Relic. Familiarity with Kubernetes or Amazon EKS. Exposure to FinOps, cloud cost optimization, and cloud governance practices. Experience with secure SDLC and DevSecOps methodologies. Experience with AI-enabled DevOps monitoring and operational automation. Familiarity with advanced frontend performance tuning and enterprise design practices. #J-18808-Ljbffr Compunnel