to join our dynamic team and lead the design, development, and optimization of scalable backend services. The ideal candidate will have extensive experience in developing microservices using event-driven architecture with tools like Kafka or RabbitMQ , and expertise in API Gateway, Service Registry, and Discovery mechanisms.
Key Responsibilities
Design, develop, and maintain highly scalable and resilient microservices architecture using js .
Implement event-driven architectures leveraging message brokers such as Kafka, RabbitMQ, or similar technologies.
Build and optimize API Gateways for routing, monitoring, and securing APIs.
Develop and manage service registry and service discovery mechanisms to ensure smooth communication between microservices.
Collaborate with front-end teams, product managers, and other stakeholders to understand requirements and translate them into technical solutions.
Design and implement RESTful and GraphQL APIs, ensuring high performance and security.
Debug, troubleshoot, and optimize existing systems for performance and scalability.
Ensure robust CI/CD pipelines and participate in DevOps practices to streamline development and deployment.
Write clean, maintainable, and well-documented code with thorough unit and integration tests.
Mentor junior developers and participate in code reviews to maintain code quality and standards.
Required Skills
Strong proficiency in js and related frameworks such as Express.js , NestJS , or similar.
Deep understanding and hands-on experience with microservices architecture and event-driven systems .
Proficiency with Kafka , RabbitMQ , or other message brokers for event streaming and message queuing.
Experience in designing and implementing API Gateways (e.g., Kong, Apigee, AWS API Gateway).
Expertise in service registry and discovery tools like Consul , Eureka , or Kubernetes Service Discovery .
Solid understanding of RESTful APIs , GraphQL , and related design principles.
Strong knowledge of databases, both relational (e.g., PostgreSQL , MySQL ) and non-relational (e.g., MongoDB , Redis ).
Experience with containerization tools like Docker and orchestration platforms such as Kubernetes .
Familiarity with cloud platforms (AWS, GCP, or Azure) and serverless architectures.
Knowledge of authentication and authorization mechanisms (e.g., OAuth, JWT).
Hands-on experience with CI/CD pipelines and version control systems like Git.
Strong debugging, performance tuning, and problem-solving skills.
Preferred Skills
Experience with observability tools like ELK Stack , Prometheus , or Jaeger for monitoring and tracing.
Familiarity with Domain-Driven Design (DDD) and CQRS patterns.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QA, Role Category: Software DevelopmentRole: Search EngineerEmployement Type: Full time