Lead Full Stack Java- W2 Only

Role: Senior Full Stack Developer
Location: Alpharetta, GA

Job Description
We are seeking a seasoned Senior Full-Stack Developer to join our engineering team. In this role, you will be responsible for designing, building, and maintaining robust, scalable, and high-performance applications.
Your primary focus will be crafting exceptional user experiences using Angular, while seamlessly integrating backend services and managing cloud infrastructure leveraging AWS. The ideal candidate is a self-starter who thrives in a collaborative environment and possesses a deep understanding of modern web technologies, cloud architecture, and AI-assisted software engineering practices.
The candidate should also be comfortable leveraging modern AI-powered development tools to accelerate development, improve code quality, automate testing, optimize cloud operations, and enhance engineering productivity.

Technical Skill Matrix 
Primary Skills (UI/Frontend)
Angular (v14+), TypeScript, RxJS, NgRx/State Management, HTML5, CSS3/SASS, Responsive Design, Frontend Performance Tuning

Secondary Skills (Cloud)
AWS Core Services (EC2, Lambda, S3, RDS, DynamoDB, API Gateway, IAM), Java/Python, RESTful APIs, Microservices Architecture

AI-Assisted Engineering & Automation
GitHub Copilot, ChatGPT/Coding AI Assistants, AI-assisted code generation, automated documentation, intelligent debugging, AI-based test case generation, AI-enabled DevOps monitoring

Tools & DevOps
Git, CI/CD pipelines (AWS CodePipeline, Jenkins, GitHub Actions), Docker, Terraform/CloudFormation, Agile/Scrum methodologies

Testing & Quality Engineering
SonarQube, automated code quality analysis, security scanning

Roles and Responsibilities
Frontend Development (Primary Focus)
Design and develop modular, reusable, and testable interactive features using Angular and TypeScript.
Implement robust state management solutions (e.g., NgRx or Akita) and handle complex asynchronous data streams using RxJS.
Optimize application performance for maximum speed, scalability, and cross-browser compatibility.
Collaborate closely with UI/UX designers to translate wireframes and mockups into high-quality, pixel-perfect code.
Utilize AI-assisted development tools for rapid prototyping, code optimization, refactoring, and debugging while adhering to engineering standards.

Backend & Cloud Integration
Architect, deploy, and manage scalable backend services and microservices.
Hands-on configuration and management of AWS cloud infrastructure, utilizing serverless architectures (Lambda, API Gateway) where applicable.
Design and implement secure, optimized RESTful or GraphQL APIs.
Manage database integrations, including writing efficient queries and designing schemas for both SQL (RDS) and NoSQL (DynamoDB) databases.
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.

AI-Driven Engineering 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 to ensure security, scalability, maintainability, and compliance with enterprise standards.
Explore opportunities to integrate Generative AI or intelligent automation capabilities into enterprise applications where relevant.

Qualifications & Experience
Experience: 7+ years of professional software development experience, with a minimum of 4+ years dedicated to Angular and substantial hands-on experience building/deploying on AWS.
Strong exposure to AI-assisted development tools such as GitHub Copilot, ChatGPT, Amazon CodeWhisperer, or similar engineering productivity platforms.
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
AWS Certification (Preferred): AWS Certified Developer – Associate or AWS Certified Solutions Architect.
Deep understanding of CI/CD concepts and Infrastructure-as-Code (Terraform, AWS CloudFormation).
Experience implementing secure coding standards, automated testing frameworks, and cloud security best practices.
Excellent problem-solving skills, verbal and written communication, and ability to articulate complex technical concepts to non-technical stakeholders.

Preferred Additional Skills
Experience with Generative AI integrations, AI APIs, or enterprise AI platforms.
Knowledge of observability platforms such as CloudWatch, Datadog, Grafana, or New Relic.
Familiarity with container orchestration platforms such as Kubernetes/EKS.
Exposure to FinOps, cloud cost optimization, and cloud governance practices.
Experience with secure SDLC and DevSecOps methodologies.