Full Stack Engineer 5 Years

Company Description SpeEdLabs is a pioneer in hybrid education, focused on learners from Tier 3 and smaller towns across India. The organization uses an AI/ML-driven platform to deliver comprehensive, personalized learning and data-driven teaching at an affordable price. SpeEdLabs supports students preparing for JEE and NEET, as well as those following CBSE and ICSE curricula from grades 6 to 12. By combining technology and pedagogy, SpeEdLabs aims to make high-quality education accessible and effective for students throughout Bharat.

Role Description The Full Stack Engineer should have more than 5 years of experience and will design, develop, and maintain web applications that power SpeEdLabs learning platform. This full-time, on-site role in Hyderabad involves working across front-end and back-end components, implementing new features, optimizing performance, and ensuring robust, secure code. Day-to-day responsibilities include collaborating with product, design, and academic teams, integrating AI/ML services, writing clean and efficient code, conducting code reviews, and troubleshooting production issues. The engineer will also contribute to improving development workflows, documentation, and testing practices to support scalable and reliable product growth.

Qualifications

• Strong skills in Back-End Web Development and Software Development for building scalable, secure server-side applications.
• Proficiency in Front-End Development and Cascading Style Sheets (CSS) for creating responsive, user-friendly interfaces.
• Experience in Full-Stack Development, integrating front-end and back-end systems into cohesive solutions.
• Solid knowledge of modern web technologies (e.g., JavaScript frameworks, RESTful APIs, databases) and version control tools such as Git.
• Bachelors degree in Engineering from a Tier-1 institution
• Ability to work collaboratively in an on-site team environment, communicate clearly, and manage tasks in a fast-paced setting.
• Experience with edtech platforms, AI/ML integrations, or scalable cloud infrastructures (e.g., AWS, GCP, Azure) is an advantage.