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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 Visa: USC/ GC/ GC-EAD/ H1b Transfer
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)
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)