Job Title:Senior Application Developer – Cloud-Native 4/5, AI/ML 4/5 & GenAI Systems 3/5Location: RemoteJob Type:Full-TimeExperience Level:7+ YearsReports To:Engineering Manager / Director of Software EngineeringOverview:We are seeking a Senior Application Developer with a strong foundation in cloud-native application development, combined with experience or exposure to AI/ML and Generative AI (GenAI) technologies. This role is ideal for engineers who are comfortable developing high-performance backends using Java (Spring Boot) and/or Node.js, deploying with modern DevOps practices, and integrating real-time systems using Kafka, RabbitMQ, and NoSQL databases.This position also offers the opportunity to collaborate with data scientists and AI engineers to build, integrate, and scale intelligent systems leveraging AI/ML models and GenAI services.Key Responsibilities:- Architect and implement scalable, cloud-native applications using Java (Spring Boot) and/or Node.js.- Build and maintain microservices-based solutions with robust inter-service communication patterns (REST, gRPC, messaging).- Develop event-driven applications using messaging platforms like Apache Kafka or RabbitMQ.- Containerize services with Docker, orchestrate and manage using Kubernetes.- Define and implement CI/CD pipelines and deployment strategies with tools such as Jenkins, GitHub Actions, Azure DevOps.- Integrate cloud-native features from platforms like AWS, Azure, or GCP, including serverless functions, managed databases, and observability tools.- Design data persistence strategies using NoSQL technologies such as MongoDB, DynamoDB, or Cassandra.- Work closely with AI/ML teams to consume, expose, and deploy machine learning models via RESTful APIs or as microservices.- Integrate with GenAI platforms such as OpenAI, Azure OpenAI, AWS Bedrock, or custom LLMs for intelligent feature development.- Contribute to platform-level decisions on architecture, security, scalability, and fault tolerance.Required Skills & Qualifications:- 6+ years of experience in backend development with Java (Spring Boot) and/or Node.js.- Strong experience in microservices architecture, REST API design, and event-driven design.- Hands-on experience with Docker and Kubernetes for container orchestration and workload management.- Practical knowledge of CI/CD pipelines and DevOps automation tooling.- Deep understanding of asynchronous messaging systems like Apache Kafka, RabbitMQ, or similar.- Proficiency in working with NoSQL databases and understanding of their strengths and tradeoffs.- Solid understanding of cloud-native development principles and deployment patterns (e.g., stateless design, scalability, resiliency).- Familiarity with cloud services on AWS, Azure, or GCP (e.g., Lambda, Fargate, GKE, Azure Functions).Bonus Skills (Preferred):- Proficiency in Python for scripting, automation, or API development.- Experience working alongside or supporting AI/ML model development teams.- Exposure to machine learning pipelines, model versioning, and serving via TensorFlow Serving, FastAPI, or similar frameworks.- Familiarity with GenAI tools and frameworks, such as:- OpenAI APIs (e.g., ChatGPT, GPT-4)- Hugging Face Transformers- Azure OpenAI, AWS Bedrock, Vertex AI- LangChain, LlamaIndex, RAG-based architectures- Experience integrating LLM-based features such as chatbots, summarization, classification, or auto-recommendation engines.- Knowledge of data engineering concepts such as feature pipelines, vector databases (e.g., Pinecone, FAISS), and embeddings.- Cloud certifications (AWS, Azure, or GCP) and/or Kubernetes certification.Why Join Us?- Work at the intersection of cutting-edge software engineering and AI-driven innovation.- Contribute to the design of platforms that combine microservices architecture with intelligent automation.- Collaborate in a highly skilled and motivated team with a culture of continuous learning.- Competitive compensation, flexible remote work options, and opportunities for career growth.