Senior Golang Engineer (AI-Assisted Development)

About the Role

We are looking for a Senior Golang Engineer with extensive experience in event-driven architectures, distributed systems, and modern AI-assisted software engineering. You will join a highly technical team that embraces microservices, observability, CI/CD, clean architecture, and cloud-native development, with a strong emphasis on leveraging AI-powered tools to boost productivity, code quality, and overall engineering efficiency.

Responsibilities

• Develop, maintain, and optimize high-performance backend services using Go (Golang).
• Build and enhance event pipelines and messaging systems with Apache Kafka (producers, consumers, partitions, consumer groups).
• Design and implement APIs (REST/gRPC) and integrations across various backend microservices.
• Implement comprehensive unit, integration, and performance tests.
• Collaborate effectively with DevOps, Data Engineering, QA, and AI-focused teams.
• Contribute to critical architectural decisions concerning schemas, event versioning, idempotency, streaming patterns, and backpressure handling.
• Utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT, Claude, or similar) to improve development productivity, debugging, testing, documentation, and code quality.
• Champion the adoption of AI-driven engineering practices and developer productivity initiatives throughout 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 elevate software delivery efficiency and engineering standards.

Requirements

• Golang Expertise: Advanced proficiency in Golang (5+ years), with a deep understanding of concurrency, memory management, profiling, benchmarking, and idiomatic Go patterns.
• Kafka Mastery: Expert-level hands-on experience with Apache Kafka.
• Distributed Systems: Solid foundation in distributed systems principles, including consistency, replication, fault tolerance, event-driven architecture, resiliency patterns, and backpressure handling.
• Microservices & APIs: Strong experience with microservices at scale, API design (REST/gRPC), and service-to-service communication.
• DevOps & Cloud: Proficiency with Docker, CI/CD workflows, automated testing (unit, integration, load), and experience deploying/operating systems on modern cloud platforms (AWS/GCP/Azure), including monitoring, alerting, and autoscaling.
• AI-Assisted Development: Practical experience using AI-powered development tools and modern AI-assisted engineering workflows in professional settings.
• Engineering Fundamentals: Strong understanding of software engineering fundamentals, coupled with effective leveraging of AI-enhanced development practices.
• Integration Experience (Plus): Experience integrating APIs, automation workflows, or AI-powered services into distributed architectures is a plus.
• Communication: Strong communication skills and proficiency in English.
• Location: Must be based in Brazil.
• Work Model: Open to working in a B2B model.