Cloud & Software Development Develop and maintain cloud-native applications using AWS, Azure, or GCP. Build backend services with Java,, and TypeScript. Contribute to front-end development using modern frameworks (React,, or similar). Write clean, efficient, and well-tested code following agile and CI/CD practices. Collaborate with DevOps teams to implement containerized solutions with Docker and Kubernetes. Contribute to the design, deployment, and orchestration of MCP components for managing and serving models at scale. Develop and maintain AI APIs, connectors, and event-driven interfaces for seamless integration between models, data sources, and cloud services. Participate in code reviews, sprint planning, and technical discussions. Collaborate with cross-functional teams (Data, QA, UX) to deliver high-quality solutions. Bachelor's or Master's degree in Computer Science, Engineering, or related field. 3-6 years of professional experience in cloud or full-stack development. Solid experience in Java, TypeScript, and Familiarity with Python and ML frameworks. Experience with AWS, Azure, or GCP cloud services. Knowledge of CI/CD pipelines, Git, Docker, and Kubernetes. Experience with databases (PostgreSQL, MongoDB, or similar). Strong problem-solving mindset and focus on clean, maintainable code. Fluent in English (C1 or higher). Basic understanding of machine learning concepts and data preprocessing. Experience deploying ML models to cloud environments (e.g., SageMaker, Vertex AI, Azure ML). Familiarity with infrastructure-as-code tools like Terraform. Interest in sustainable, AI-enhanced solutions within industrial tech.