Java Full Stack Developer- AWS, Golang and AI

SRS Medical Systems, Inc.
Fort Lauderdale, FL, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+39 more
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

Job 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

Requirements

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)

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