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Ardanis

Ardanis delivers next generation digital solutions

Senior Golang Engineer

Backend EngineerSoftware EngineerFull TimeRemoteSeniorTeam 11-50Since 2016H1B No SponsorCompany SiteLinkedIn

Location

Brazil

Posted

65 days ago

Salary

0

Seniority

Senior

Job Description

Senior Golang Engineer

Ardanis

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.

Job Requirements

  • 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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