Lead/Senior Domino Data Lab

EPAM Systems


Date: 18 hours ago
City: Coimbatore, Tamil Nadu
Contract type: Full time
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

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