Golang Engineer

Plain Concepts; Brasil; Presencial; BRL 223 200 - 334 800; Tempo integral

Resumo da oferta

Plain Concepts is seeking a Senior Golang Engineer in Brazil to develop and optimize high-performance backend services using Go. The candidate should have extensive experience with Apache Kafka and proficiency in designing microservices and APIs. Responsibilities include building event pipelines, collaborating across teams, and adopting AI-driven engineering practices. Candidates should have strong communication skills and be fluent in English. This position is offered in a B2B model.

Qualificações

• 5+ years of advanced proficiency in Golang, with deep understanding of concurrency and idiomatic patterns.
• Expert-level hands-on experience with Kafka.
• Strong experience with distributed systems principles and microservices.
• Proficiency with Docker and CI/CD workflows.
• Experience in cloud platforms like AWS, GCP, or Azure.

Responsabilidades

• Develop and optimize high-performance backend services in Go.
• Build event pipelines and messaging systems using Kafka.
• Design APIs and integrations across backend microservices.
• Collaborate closely with multiple technical teams.
• Contribute to AI-driven engineering practices.

Conhecimentos

Golang proficiency

Apache Kafka

Microservices design

API design (REST/gRPC)

Docker

CI/CD workflows

Distributed systems principles

AI-assisted development tools

Ferramentas

Docker

CI/CD tools

AI-powered tools

Descrição da oferta de emprego

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.

• 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