Lead/Senior Domino Data Lab with React
Office in India: Gurugram, & 6 others
Data DevOps& 5 others
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We are looking for a skilled Lead/Senior Domino Data Lab Engineer with solid React expertise to become part of our team. Within this role, you will architect and create responsive, data-driven web applications while utilizing the Domino Data Lab platform to provide innovative solutions. You will partner with cross-functional teams to craft reusable UI components, connect APIs, and shape 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 powered by the Domino Data Lab platform
- Integrate REST APIs into React applications to provide seamless user experiences
- Collaborate with data science and engineering teams to ship end-to-end web-based applications
- Develop and manage Domino Workspaces, Projects, and related web-based applications
- Ensure high-quality frontend architecture with an emphasis on scalability and reusability
- Implement modern state management approaches with React Hooks, Redux, or Context API
- Participate in Agile ceremonies and contribute to CI/CD pipelines for smooth deployments
- Perform code reviews, mentor teammates, and enforce best coding practices
- Troubleshoot, debug, and optimize application performance across browsers and devices
Requirements
- 5–14 years of professional software development experience
- Expertise in Domino Data Lab, including Workspaces, Projects, and web-based applications
- Proficiency in ReactJS, JavaScript, and TypeScript
- Skills in building responsive web applications and UI components with React
- Knowledge of HTML5, CSS3, and modern JavaScript
- Background in 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
- Familiarity with Kubernetes and Terraform
- Background in MLflow, Jupyter, and Spark/Databricks
- Understanding of GenAI and LLM concepts
