Computer Scientist

Responsibilities:

• Prototype, develop, and unit-test scalable features to the highest quality.
• Collaborate with teammates on the best approaches for problem-solving.
• Perform code reviews, provide feedback to team members on coding techniques and respond effectively to feedback from reviewers.
• Plan, develop, monitor and evolve needed infrastructure in collaboration with Ops partners.
• Troubleshoot and resolve performance, reliability, and scalability issues.
• Adopt a highly reciprocal team that requires effective communication and quality contributions across multiple geographies.

Requirements:

• BTech/ M. Tech from a premier institute in Computer Science or related fields, or extensive software development experience.
• Frontend engineer with 5+ years of relevant industry experience, who will develop responsive, scalable user interfaces.
• The ideal candidate is strong in frontend engineering but comfortable working across the stack to integrate APIs, deploy backend services, and ensure smooth end-to-end functionality.
• Strong proficiency in Web Components, React (hooks, Context API, state management) and solid working knowledge of at least one other modern framework, along with JavaScript (ES6+) and TypeScript.
• Hands-on with MobX; Lit is good to have.
• Hands-on experience with frontend tooling and testing - including build tools (Webpack, Vite), CSS frameworks (Tailwind, SASS/SCSS, Styled Components), and testing libraries (Jest, React Testing Library, Cypress, or Playwright).
• Experience with browser-based debugging and performance testing software.
• Should have excellent computer science fundamentals and a good understanding of architecture, design, and performance.
• Creative troubleshooting skills, ability to construct creative approaches to problems.
• Excellent communication skills. Willingness to work under pressure.
• Hunger to learn and succeed in a fast-paced environment.
• Working knowledge of AgenticAI engineering tools and practices - including AI-assisted development tools (e. g., Claude Code, Cursor), prompt engineering for code generation, and the ability to integrate and interact with LLM-based APIs or agent frameworks in frontend applications.
• Experience with Native mobile technologies like Kotlin/Java and Swift is a good-to-have.