Senior Backend Software Engineer

4 days ago

Ghaziabad, Uttar Pradesh, India beBeeBackend Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
About

We are a fast-paced eSIM services company, innovating connectivity with powerful APIs and scalable platforms.

Our mission is to simplify global eSIM lifecycle management, user onboarding, secure payment systems, and deployments.

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.

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