Senior Full Stack Engineer

About The Role

We are seeking an experienced Full Stack Developer to join our team. The ideal candidate will design, develop, and maintain end-to-end applications spanning modern front-end frameworks, robust middle-tier services, and scalable cloud-native data solutions. This role emphasizes AI-assisted development practices and hands-on experience building solutions powered by Large Language Models (LLMs).

Key Responsibilities

• Design, develop, and maintain full stack applications from UI through middle tier to data layer
• Build responsive, accessible front-end interfaces using Angular or Vue.js
• Develop RESTful APIs and microservices using Java (Spring Boot) and Python-based frameworks (FastAPI, Flask, Django)
• Design and manage relational and NoSQL data stores including PostgreSQL and document databases (e.g., Amazon DocumentDB, MongoDB)
• Architect and deploy applications on AWS using services such as Lambda, ECS, S3, API Gateway, CloudFormation, and CDK
• Leverage AI-powered coding tools (Amazon Q Developer, Kiro) to accelerate development workflows
• Build and integrate LLM-powered features using AWS Bedrock or similar platforms
• Participate in large-scale document analysis and intelligent data extraction initiatives
• Collaborate with cross-functional teams in Agile/Scrum ceremonies
• Design and maintain end-to-end automated test suites using frameworks such as Selenium, Cypress, or Playwright
• Identify and resolve performance bottlenecks across the full stack including query optimization, API response tuning, front-end rendering, and JVM/Python profiling
• Write unit and integration tests, conduct code reviews, and uphold engineering best practices
• Mentor and guide junior developers through code reviews, pair programming, and knowledge-sharing sessions
  
  

Required Qualifications

• 5 years of professional full stack development experience
• Strong proficiency in Java (Spring Boot, Spring MVC) and Python (FastAPI, Flask, or Django)
• Hands-on experience with Angular or Vue.js for front-end development
• Solid experience with PostgreSQL and document databases (Amazon DocumentDB, MongoDB, or similar)
• Demonstrated experience with AWS cloud services (EC2, Lambda, S3, ECS/EKS, RDS, IAM, CloudWatch)
• Experience using AI-assisted development tools such as Amazon Q Developer or Kiro for code generation, refactoring, and productivity
• Practical experience building applications that integrate Large Language Models (LLMs), preferably using AWS Bedrock
• Familiarity with CI/CD pipelines, containerization (Docker), and infrastructure-as-code
• Experience with end-to-end test automation frameworks (Selenium, Cypress, Playwright, or similar)
• Proven ability to performance tune applications including database query optimization, API latency reduction, front-end profiling, and load testing
• Strong understanding of RESTful API design, microservices architecture, and secure coding practices
• Excellent problem-solving, communication, and collaboration skills
  
  

Preferred Qualifications

• Experience with large document analysis, intelligent document processing, or text extraction at scale (e.g., Amazon Textract, custom NLP pipelines)
• Familiarity with Retrieval-Augmented Generation (RAG) patterns and vector databases
• AWS certifications (Solutions Architect, Developer Associate, or similar)
• Experience in the financial services or regulatory technology domain
• Knowledge of prompt engineering and LLM fine-tuning techniques
• Experience with Terraform or AWS CDK for infrastructure management
  
  

Education

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience)