Lead/Senior Domino Data Lab

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 ReactBuild and enhance data science solutions leveraging the Domino Data Lab platformIntegrate REST APIs with React applications to deliver seamless user experiencesCollaborate with data science and engineering teams to deliver end-to-end web-based applicationsDevelop and manage Domino Workspaces, Projects, and related web-based applicationsEnsure high-quality frontend architecture with a focus on scalability and reusabilityImplement modern state management approaches using React Hooks, Redux, or Context APIParticipate in Agile ceremonies and contribute to CI/CD pipelines for smooth deploymentsPerform code reviews, mentor team members, and enforce best coding practicesTroubleshoot, debug, and optimize application performance across browsers and devices Requirements 514 years of professional software development experienceHands-on expertise in Domino Data Lab, including Workspaces, Projects, and web-based applicationsStrong proficiency in ReactJS, JavaScript, and TypeScriptSkills in building responsive web applications and UI components with ReactSolid knowledge of HTML5, CSS3, and modern JavaScriptExperience with React Hooks, Redux, and Context APICompetency in integrating REST APIs, working with JSON, and asynchronous programmingUnderstanding of frontend architecture and reusable component designFamiliarity with Git, CI/CD, and Agile development methodologiesKnowledge of cloud platforms such as AWS, Azure, or GCP Nice to have Exposure to Kubernetes and TerraformFamiliarity with MLflow, Jupyter, and Spark/DatabricksUnderstanding of GenAI and LLM concepts .