Job Title

About Company: Glowingbud is a rapidly growing eSIM services platform that simplifies connectivity with powerful APIs, robust B2B and B2C interfaces, and seamless integrations with Telna. Our platform enables global eSIM lifecycle management, user onboarding, secure payment systems, and scalable deployments. Recently acquired by Telna (we are expanding our product offerings and team to meet increasing demand and innovation goals.Key Responsibilities: API Development: Design, develop, optimize, and maintain high-performance RESTful APIs using Node.js and MongoDB. Scalability & Performance: Optimize backend performance for handling large data volumes and high-traffic production environments. Multi-Tenant SaaS: Develop and maintain multi-tenant architectures ensuring data policies, security, scalability, and efficiency. Microservices Architecture: Design and implement microservices-based solutions, ensuring modularity and maintainability. Database Management: Proficiently manage and optimize MongoDB, including indexing, aggregation, and performance tuning. System Engineering: Work with DevOps to ensure scalability, reliability, and security of backend systems. Product Development: Collaborate with product teams to build long-term, scalable backend solutions. Code Quality & Security: Write clean, maintainable, and secure code following industry best practices. Enforce coding standards, conduct detailed code reviews. Monitoring & Debugging: Implement logging, monitoring, and debugging tools to ensure system reliability. Collaboration: Work closely with frontend teams and DevOps to ensure seamless API integrations and deployments. Qualifications: 7+ years of experience in backend development with Node.js and MongoDB. Strong understanding of microservices architecture and system design principles. Experience in building and maintaining multi-tenant SaaS applications. Proven experience handling large-scale data and high-traffic production systems. Proficiency in MongoDB, including schema design, indexing strategies, and performance optimization. Experience with event-driven architecture and messaging queues (e.g., AWS SQS, RabbitMQ, Kafka). Knowledge of authentication and authorization mechanisms (JWT, AWS Cognito, SSO). Strong experience with API development best practices, security, and rate limiting. Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines. Proficiency in cloud services (AWS, GCP, or Azure) for backend infrastructure. Preferred Skills: Experience with Redis, ElasticSearch, or other caching mechanisms. Knowledge of serverless architectures and cloud-native development. Exposure to REST / gRPC for API communication. Understanding of data streaming and real-time processing. Experience with NoSQL and relational database hybrid architectures. Familiarity with observability tools (Prometheus, Grafana, ELK Stack). Experience in automated testing for backend systems.