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 Kafka * Solid 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.