Role: Java Full Stack Developer (AWS, Golang and AI)
Location: Phoenix, AZ/ Ft. Lauderdale, FL
Experience: Developer (5-7 years), Sr. Developer (8+ years)
Type: Fulltime permanent role
Role Overview:
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.
Key Responsibilities:
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
Required Skills & Qualification:
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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