Golang Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design, maintain, and enhance high-performance backend services utilizing Go (Golang).

• Develop and optimize event pipelines and messaging systems with Kafka (producers, consumers, partitions, consumer groups).

• Create APIs (REST/gRPC) and facilitate integrations across various backend microservices.

• Execute unit, integration, and performance testing.

• Work collaboratively with DevOps, Data Engineering, QA, and AI-focused teams.

• Participate in architectural decision-making regarding schemas, event versioning, idempotency, streaming patterns, and backpressure management.

• Utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT, Claude, or similar) to enhance productivity, debugging, testing, documentation, and code quality.

• Promote the adoption of AI-driven engineering practices and developer productivity initiatives throughout the software development lifecycle.

• Design backend services and integrations that support AI/LLM-powered systems, intelligent automation workflows, and scalable data processing solutions.

• Assess and implement emerging AI engineering tools and frameworks to enhance software delivery efficiency and engineering standards.

⛳️ Requirements

• Extensive expertise in Golang (5+ years), with a thorough understanding of concurrency, memory management, profiling, benchmarking, and idiomatic Go patterns.

• Expert-level hands-on experience with Kafka.

• Strong grounding in distributed systems principles: consistency, replication, fault tolerance, event-driven architecture, resiliency patterns, and backpressure management.

• Significant 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 in deploying and operating systems on modern cloud platforms (AWS/GCP/Azure), including monitoring, alerting, and autoscaling.

• Practical experience with AI-powered development tools and modern AI-assisted engineering workflows in professional settings.

• Strong grasp of software engineering fundamentals while effectively utilizing AI-enhanced development practices.

• Experience integrating APIs, automation workflows, or AI-powered services into distributed architectures is an advantage.

• Excellent communication skills and proficiency in English.

• All candidates must reside in Brazil.

• Open to working in a B2B model.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and career advancement.

• Flexible working hours and remote work options.

• Comprehensive health and wellness programs.