About the Role
We're seeking a Senior Golang Engineer with strong expertise in event-driven architectures, distributed systems, and modern AI-assisted software engineering practices. The ideal candidate has deep hands-on experience with Apache Kafka, high-performance backend engineering, and the ability to design resilient microservices at scale — while leveraging AI-powered development tools to improve productivity, code quality, and engineering efficiency.
You'll join a highly technical engineering team working with microservices, observability, CI/CD, clean architecture, cloud-native development, and AI-assisted coding workflows.
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)
- Design APIs (REST/gRPC) and integrations across multiple backend microservices
- Implement unit, integration, and performance tests
- Collaborate closely with DevOps, Data Engineering, QA, and AI-focused teams
- Contribute to architectural decisions on schemas, event versioning, idempotency, streaming patterns, and backpressure handling
- Leverage AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT, Claude, or similar) to improve productivity, debugging, testing, documentation, and code quality
- Contribute to the adoption of AI-driven engineering practices and developer productivity initiatives across the SDLC
- Design backend services and integrations capable of supporting AI/LLM-powered systems, intelligent automation workflows, and scalable data processing
- Evaluate and implement emerging AI engineering tools and frameworks to improve software delivery efficiency and engineering standards
Requirements
- Advanced proficiency in Golang (5+ 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 on modern cloud platforms (AWS/GCP/Azure), including monitoring, alerting, and autoscaling
- Practical, professional experience using AI-powered development tools and modern AI-assisted engineering workflows
- Strong software engineering fundamentals combined with effective use of AI-enhanced development practices
- Experience integrating APIs, automation workflows, or AI-powered services into distributed architectures (a plus)
- Strong communication skills and proficiency in English
- Must be based in Brazil
- Open to working under a B2B contract model