Senior Golang Engineer

• 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.

Do you have experience in gRPC?, 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., * 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.