Senior Full Stack Engineer

Client has enough resumes for Texas location, please focus on Seattle location.

We are seeking a skilled and experienced Senior Full Stack Engineer with deep AWS expertise and strong proficiency in both frontend and backend development. The ideal candidate will have experience in micro frontends, secure backend systems, and emerging technologies such as Generative AI and Machine Learning with RAG (Retrieval Augmented Generation).

• Develop and manage cloud-native applications using AWS services including Clouds cape, CDK, S3, Lambda, Cloud Watch, Cloud Trail, API Gateway, IAM, and Bedrock
• Implement secure backend systems with a strong emphasis on identity and access management
• Design and implement micro frontend architectures and reusable UX patterns
• Ensure robust security best practices across the full stack (frontend and backend)
• Integrate and experiment with Generative AI tools and frameworks, including Amazon
  
  Q and Retrieval Augmented Generation (RAG) techniques
• Collaborate with cross-functional teams to design and deliver scalable, secure, and user-friendly applications
• Monitor, debug, and optimize cloud infrastructure and services
• Maintain high standards of code quality and unit testing

• Extensive experience with AWS ecosystem (Clouds cape, CDK, S3, Cloud Watch, Bedrock, Amazon
  
  Q, Lambda, Cloud Trail, API Gateway, IAM)
• Strong knowledge of micro frontends and UI/UX pattern implementations
• Backend development expertise with a focus on security and identity management
• Proficiency in Type Script and Java
• Familiarity with Generative AI and Machine Learning workflows, including Retrieval Augmented Generation (RAG)

• Experience with CI/CD pipelines and Dev Ops tools
• Working knowledge of containerization technologies such as Docker and Kubernetes
• Understanding of serverless architecture and event-driven design patterns
• Experience deploying scalable AI services in production

AWS certifications (Developer, Solutions Architect, or Security) are a plus

Bachelor’s degree in Computer Science, Information Technology, or a related field (Master’s preferred)