Senior Golang Engineer We are seeking a Senior Golang Engineer with strong expertise in event-driven architectures and deep hands-on experience with Apache Kafka. The ideal candidate has a solid understanding of distributed systems, high-performance backend engineering, and the ability to design resilient microservices at scale.You will join a highly technical engineering team working with modern practices such as microservices, observability, CI/CD, clean architecture, and cloud-native development.Responsibilities: Develop, maintain, and optimize high-performance backend services in Go (Golang). Build and improve event pipelines and messaging systems using Kafka (producers, consumers, partitions, consumer groups). Architect and implement scalable and fault-tolerant distributed systems. Design APIs (REST/gRPC) and integrations across multiple backend microservices. Implement unit, integration, and performance tests. Collaborate closely with DevOps, Data Engineering, and QA teams. Contribute to architectural decisions regarding schemas, event versioning, idempotency, streaming patterns, and backpressure handling. Enhance CI/CD pipelines and deployment workflows. Implement and maintain observability standards using tools like Prometheus, Grafana, and OpenTelemetry. Mentor junior engineers and contribute to engineering best practices.Extensive experience (5+ years) building backend or distributed systems in production environments. Advanced proficiency in Golang (3+ years), with deep understanding of concurrency, memory management, profiling, benchmarking, and idiomatic Go patterns. Expert-level hands-on experience with KafkaSolid foundation in distributed systems principles: consistency, replication, fault tolerance, event-driven architecture, resiliency patterns, and backpressure handling. Strong experience with microservices at scale, API design (REST/gRPC), and service-to-service communication. Proficiency with Docker, CI/CD workflows, and automated testing (unit, integration, load). Experience deploying and operating systems in modern cloud platforms (AWS/GCP/Azure), including monitoring, alerting, and autoscaling. Strong communication skills and proficiency in English.Experience building high-performance APIs with gRPC. Familiarity with Kubernetes and cloud-native tooling. Experience with low-latency, high-throughput, or mission-critical systems. Practical knowledge of Redis, PostgreSQL, Cassandra, DynamoDB, or other distributed storage solutions. We are seeking a Senior Golang Engineer with strong expertise in event-driven architectures and deep hands-on experience with Apache Kafka. The ideal candidate has a solid understanding of distributed systems, high-performance backend engineering, and the ability to design resilient microservices at scale.You will join a highly technical engineering team working with modern practices such as microservices, observability, CI/CD, clean architecture, and cloud-native development.Responsibilities: Develop, maintain, and optimize high-performance backend services in Go (Golang). Build and improve event pipelines and messaging systems using Kafka (producers, consumers, partitions, consumer groups). Architect and implement scalable and fault-tolerant distributed systems. Design APIs (REST/gRPC) and integrations across multiple backend microservices. Implement unit, integration, and performance tests. Collaborate closely with DevOps, Data Engineering, and QA teams. Contribute to architectural decisions regarding schemas, event versioning, idempotency, streaming patterns, and backpressure handling. Enhance CI/CD pipelines and deployment workflows. Implement and maintain observability standards using tools like Prometheus, Grafana, and OpenTelemetry. Mentor junior engineers and contribute to engineering best practices. Extensive experience (5+ years) building backend or distributed systems in production environments. Advanced proficiency in Golang (3+ years), with deep understanding of concurrency, memory management, profiling, benchmarking, and idiomatic Go patterns. Expert-level hands-on experience with KafkaSolid foundation in distributed systems principles: consistency, replication, fault tolerance, event-driven architecture, resiliency patterns, and backpressure handling. Strong experience with microservices at scale, API design (REST/gRPC), and service-to-service communication. Proficiency with Docker, CI/CD workflows, and automated testing (unit, integration, load). Experience deploying and operating systems in modern cloud platforms (AWS/GCP/Azure), including monitoring, alerting, and autoscaling. Strong communication skills and proficiency in English.Experience building high-performance APIs with gRPC. Familiarity with Kubernetes and cloud-native tooling. Experience with low-latency, high-throughput, or mission-critical systems. Practical knowledge of Redis, PostgreSQL, Cassandra, DynamoDB, or other distributed storage solutions.