Build and optimize high-performance Go backend services, APIs, microservices, and scalable distributed systems. Implement gRPC and REST communication, event-driven architectures with Kafka or RabbitMQ, and containerized deployments using Docker and Kubernetes. Improve concurrency, resilience, observability, tracing, traffic management, authentication, and production performance. Collaborate on architecture, deployment, troubleshooting, and cloud-native system reliability.
Key Responsibilities:
- Build high-performance backend services using Go (Golang)
- Develop APIs and microservices using frameworks such as Gin, Echo, or Fiber
- Design and implement scalable distributed systems and backend architectures
- Build service-to-service communication using gRPC and REST APIs
- Develop asynchronous and event-driven systems using Kafka or RabbitMQ
- Containerize and deploy services using Docker and Kubernetes
- Optimize concurrency, memory usage, and backend system performance
- Implement observability, distributed tracing, and monitoring solutions
- Work on API gateway integration, traffic routing, load balancing, and authentication mechanisms
- Collaborate with engineering teams for architecture design, deployment, and troubleshooting
- Ensure system scalability, fault tolerance, and resilience in production environments
Required Skills & Qualifications:
- 5+ years of backend development experience
- Minimum 2+ years of hands-on Golang development experience in production environments
- Strong experience with Go frameworks/libraries such as Gin, Echo, Fiber, and gRPC
- Experience designing and building microservices and distributed systems
- Strong understanding of goroutines, channels, concurrency patterns, and performance optimization
- Experience with Kafka or RabbitMQ for asynchronous/event-driven systems
- Hands-on experience with Docker and Kubernetes
- Strong understanding of REST APIs and service-to-service communication
- Experience with distributed tracing and observability tools such as OpenTelemetry, Jaeger, or Grafana
- Knowledge of service discovery tools such as Consul, etcd, or Kubernetes-native discovery
- Experience with API gateways and traffic management tools like Kong, NGINX, or Istio
- Strong knowledge of PostgreSQL, MongoDB, and Redis
- Understanding of scalability, resilience patterns, and backend architecture principles
- Good debugging, analytical, and problem-solving skills
Preferred Skills:
- Experience in high-scale production environments
- Exposure to cloud-native architectures
- Familiarity with DevOps and CI/CD practices
- Experience with security, authentication, and rate-limiting implementations
- Immediate joiners preferred
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