Lead Frontend Engineer

🏢 About HackerRank

HackerRank is a developer skills platform used by over 2,500 companies — including NVIDIA, Amazon, and Microsoft — to evaluate and hire engineering talent based on demonstrated ability rather than credentials. Their tools cover technical screening, live interviews, and developer upskilling.

🎯 The Role

This is a lead-level frontend position with full ownership of HackerRank's candidate assessment product — the interface developers use when taking technical evaluations. Performance, accessibility, and reliability are first-class concerns here because the product directly affects whether a candidate can demonstrate their true ability.

The role also sits at the centre of HackerRank's AI push: you'll contribute to AI-powered assistants inside the assessment experience and work with internal AI agents that accelerate engineering workflows across the team.

🛠️ Tech Stack

• React + Next.js + TypeScript
• Modern frontend tooling and bundling
• Core Web Vitals and performance instrumentation
• AI development tools (paid access provided)

💼 What You'll Do

• Own the end-to-end frontend of the candidate assessment product
• Architect and build reusable component libraries used across HackerRank's product suite
• Drive performance metrics including Core Web Vitals and responsiveness
• Build AI-powered features inside the candidate experience
• Collaborate with product and design on the broader hiring journey UX
• Mentor engineers and lead features from ideation to production

✅ What You'll Need

• 6–8 years of production frontend experience with strong React expertise
• Deep command of JavaScript, HTML, and CSS
• Experience designing scalable frontend architectures and component systems
• Strong grasp of performance optimisation and modern build tooling
• Comfortable leading cross-functional projects and mentoring engineers
• Active use of AI-native tools (Cursor, Copilot, agentic workflows) in your day-to-day

🌟 Nice to Have

• Experience shipping AI-powered product features or working with LLM APIs
• Background in frontend security and protecting user trust
• Prior work with agentic tooling in engineering or QA workflows