Senior Golang Engineer
ArdanisSpain19 hours ago
Full-timeOther
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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:
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.
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