We are 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 modern AI-powered development tools to improve productivity, code quality, and engineering efficiency.
You will join a highly technical engineering team working with modern practices such as 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 regarding 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 development productivity, debugging, testing, documentation, and code quality.
Contribute to the adoption of AI-driven engineering practices and developer productivity initiatives across the software development lifecycle.
Design backend services and integrations capable of supporting AI/LLM-powered systems, intelligent automation workflows, and scalable data processing solutions.
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 in modern cloud platforms (AWS/GCP/Azure), including monitoring, alerting, and autoscaling.
Practical experience using AI-powered development tools and modern AI-assisted engineering workflows in professional environments.
Strong understanding of software engineering fundamentals while effectively leveraging AI-enhanced development practices.
Experience integrating APIs, automation workflows, or AI-powered services into distributed architectures is considered a plus.
Strong communication skills and proficiency in English.
All candidates must be based in Brazil
Open to work in a B2B model
