Lead/Senior Domino Data Lab with React

We are seeking a talented Lead/Senior Domino Data Lab Engineer with strong React expertise to join our team. In this role, you will design and build responsive, data-driven web applications while leveraging the Domino Data Lab platform to deliver innovative solutions. You will collaborate with cross-functional teams to develop reusable UI components, integrate APIs, and contribute to the overall frontend architecture of our data science applications.

Responsibilities

• Design, develop, and maintain responsive web applications and reusable UI components using React
• Build and enhance data science solutions leveraging the Domino Data Lab platform
• Integrate REST APIs with React applications to deliver seamless user experiences
• Collaborate with data science and engineering teams to deliver end-to-end web-based applications
• Develop and manage Domino Workspaces, Projects, and related web-based applications
• Ensure high-quality frontend architecture with a focus on scalability and reusability
• Implement modern state management approaches using React Hooks, Redux, or Context API
• Participate in Agile ceremonies and contribute to CI/CD pipelines for smooth deployments
• Perform code reviews, mentor team members, and enforce best coding practices
• Troubleshoot, debug, and optimize application performance across browsers and devices

Requirements

• 5–14 years of professional software development experience
• Hands-on expertise in Domino Data Lab, including Workspaces, Projects, and web-based applications
• Strong proficiency in ReactJS, JavaScript, and TypeScript
• Skills in building responsive web applications and UI components with React
• Solid knowledge of HTML5, CSS3, and modern JavaScript
• Experience with React Hooks, Redux, and Context API
• Competency in integrating REST APIs, working with JSON, and asynchronous programming
• Understanding of frontend architecture and reusable component design
• Familiarity with Git, CI/CD, and Agile development methodologies
• Knowledge of cloud platforms such as AWS, Azure, or GCP

Nice to have

• Exposure to Kubernetes and Terraform
• Familiarity with MLflow, Jupyter, and Spark/Databricks
• Understanding of GenAI and LLM concepts