SDE III (Full Stack)

We are looking for an experienced SDE III (Full Stack) to lead the design and development of scalable, high-performance applications that power critical business functions. In this role, you will drive architectural decisions, own end-to-end system design (HLD and LLD), and build cloud-native, microservices-based solutions using Node.js and React.js . You will collaborate with cross-functional teams, mentor engineers, and ensure the delivery of robust, secure, and scalable platforms.

Responsibilities:

• Architect and design scalable, resilient, and high-performance distributed systems leveraging microservices architecture principles.
• Drive High-Level Design (HLD) and Low-Level Design (LLD) discussions, ensuring solutions meet scalability, reliability, security, and maintainability requirements.
• Lead technical design reviews and provide architectural guidance to engineering teams.
• Design and implement event-driven and service-oriented architectures, ensuring seamless integration across systems.
• Optimize application performance, database design, and system reliability to support rapid business growth and increasing scale.
• Mentor junior engineers and establish engineering best practices, coding standards, and design patterns.
• Collaborate with Product, Engineering, and Business stakeholders to translate business requirements into scalable technical solutions.

Requirements:

• Education: B. Tech/B. E. in Computer Science, Information Technology, or a related field.
• Experience: 5+ years of professional experience in full-stack development using Node.js and React.js .
• Strong experience designing and building scalable distributed systems and microservices-based architectures.
• Proven expertise in system design, including high-level design (HLD), low-level design (LLD), API design, and architectural decision-making.
• Deep understanding of software architecture patterns, design principles, and system scalability considerations.
• Experience with messaging/event streaming systems such as Kafka, RabbitMQ, or similar technologies.
• Strong understanding of caching, load balancing, database optimization, fault tolerance, and performance tuning.
• Experience designing cloud-native applications on AWS, GCP, or Azure.
• Ability to drive technical discussions, conduct architecture reviews, and mentor engineering teams.