Senior Backend Engineer(NodeJS)

2 days ago

New Delhi, India Transond Systems Full time

Company DescriptionAt Transond Systems, we develop scalable, cloud-native platforms powering multi-tenant applications across IoT and operational domains. Our engineering teams follow modern microservices architecture, CI/CD practices, and industry best practices to deliver robust, high-performance, and secure solutions globally.Role DescriptionWe are seeking a Senior Backend Engineer with MERN stack expertise and strong DSA skills to design, develop, and maintain multi-tenant microservices platforms, ensuring scalability, reliability, and optimal performance. This is a full-time ,on-site role for a Senior Backend Engineer at Transond Systems, located in Coimbatore.Key Responsibilities- Design, implement, and maintain scalable backend services and APIs for multi-tenant platforms. - Build microservices applying cloud-native architecture principles and industry best practices. - Implement RESTful APIs, GraphQL endpoints, and integrations with external systems. - Collaborate with frontend, data, and DevOps teams to ensure seamless system integration. - Apply security, multi-tenant data isolation, and performance optimization practices. - Optimize backend performance with Redis or other caching frameworks, database queries, and efficient data handling. - Architect transactional vs analytical data segregation to support multi-tenant workloads. - Apply advanced DSA expertise for algorithmically efficient solutions, data structures, and system-level optimizations. - Participate in code reviews, architecture discussions, and mentoring junior engineers.Required Skills & Experience- 5–8 years of backend development experience, preferably in MERN stack (MongoDB, Express, React, Node.js). - Strong familiarity with microservices architecture principles and ability to put them into practice. - High expertise in Data Structures & Algorithms (DSA) for scalable and high-performance systems. - Experience with Redis or other caching frameworks for performance optimization. - Proven ability to segregate transactional and analytical data in multi-tenant environments. - Hands-on experience with API design, messaging queues, event-driven systems (Kafka, RabbitMQ, MQTT). - Knowledge of containerization and orchestration (Docker, Kubernetes). - Solid understanding of CI/CD pipelines, automated testing, and DevOps practices. - Expertise in database design, optimization, and scaling (MongoDB, PostgreSQL, or similar). - Experience with security best practices: authentication, authorization, and data isolation.Nice to Have- Exposure to real-time IoT or telemetry systems. - Experience with GraphQL, Redis advanced patterns, or caching frameworks. - Familiarity with cloud services (AWS, Azure, GCP) and serverless architectures. - Knowledge of event sourcing and CQRS patterns.

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