Java Software Engineer

Role: Java Full Stack Developer/ Sr Developer with AWS, Golang and AI skillsLocation: Phoenix, AZ or Ft. Lauderdale, FLYears of Exp: Developer (5-7 years), Sr. Developer (8+ years)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 Al 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, anddistributed systemsExperience with Docker, Kubernetes (EKS), and CI/CD tools • Familiarity and experiences with NoSQL databases like: PostgreSQL, Cassandra, Couchbase, Redis, ElasticsearchPreferred 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)