Golang Engineer
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
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