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# Java Full Stack Developer- AWS, Golang and AI

- **Company:** SRS Medical Systems, Inc.
- **Location:** Fort Lauderdale, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** HTML, Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Software Applications, Cascading Style Sheets (CSS), Encodings, Couchbase Servers, DevOps, Distributed Systems, Amazon DynamoDB, Elasticsearch, Identity and Access Management, Python (Programming Language), PostgreSQL, Machine Learning, Natural Language Processing, NoSQL, OAuth, Recommender Systems, Redis, Azure Machine Learning, Amazon Simple Notification Service (SNS), Data Streaming, Chatbots, Modern Ui, Spring Cloud, ReactJS, Large Language Models, Prompt Engineering, Spring-boot, Backend, Event Driven Architecture, Amazon Relational Database Service, AngularJS, Kubernetes, Cassandra, Apache Kafka, Machine Learning Operations, Front End Software Development, Functional Programming, Api Gateway, Restful APIs, Amazon Simple Queue Service (SQS), Docker, Golang, Microservices
- **Published:** June 9, 2026
- **Apply:** https://www.careerjet.com/jobad/us9c1c2f2e585c1e4b2ca2b97649467ff8

## About the Role

We are seeking a highly skilled Full Stack Developer with expertise in Java, AWS, Golang, and AI/ML integration to build next-gen, intelligent, cloud-native applications. The role focuses on developing scalable microservices, embedding AI capabilities into business workflows, and delivering high-performance systems., 5+ years of full stack development experience
Strong expertise in Java (5+), Spring Boot, Python, and Golang
Hands-on experience with AWS services: EC2, Lambda, S3, API Gateway, RDS, DynamoDB, SNS/SQS, IAM
Frontend experience with React/Angular, JavaScript, HTML, CSS
Experience integrating AI/ML services or APIs (OpenAI, AWS Bedrock, SageMaker, etc.)
Strong knowledge of microservices, REST APIs, and distributed systems
Experience with Docker, Kubernetes (EKS), and CI/CD tools
Familiarity and experience with NoSQL databases like PostgreSQL, Cassandra, Couchbase, Redis, Elasticsearch.
Preferred Qualifications:
Experience building AI-powered applications (chatbots, recommendation systems, NLP use cases)
Knowledge of RAG architectures, prompt engineering, and LLM integration
Experience with streaming/event platforms (Kafka or AWS EventBridge)
Exposure to MLOps practices and ML lifecycle management
Understanding of security standards (OAuth2, JWT)

## Description

Design and develop end-to-end solutions across frontend, backend, and AI layers.
Build scalable microservices using Java (Spring Boot) and Golang for high-performance workloads
Develop modern UI using React/Angular.
Design and deploy cloud-native applications on AWS
Integrate AI/ML models and APIs (LLMs, predictive models) into applications
Build and manage RESTful and event-driven architectures
Implement CI/CD pipelines and DevOps practices for cloud deployments
Ensure performance, scalability, and security of applications
Collaborate with data scientists, architects, and product teams


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