Plain Concepts
Computer Software
SeniorGolangEngineer
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“Senior Golang Engineer at Plain Concepts. Skills: Golang, Kafka, distributed systems, microservices, AI-assisted development. Develop, maintain, and optimize high-performance backend services in Go (Golang). Build and improve event pipelines and messaging systems using Kafka”
What You'll Achieve.
improve productivity; improve code quality; improve engineering efficiency; improve development productivity; improve software delivery efficiency; improve engineering standards
Industry & Context.
All candidates must be based in Brazil, Open to work in a B2B model
What They're Looking For.
Must Have
Advanced proficiency in Golang (5+ years), 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, experience with microservices at scale, API design (REST/gRPC), service-to-service communication, Proficiency with Docker, CI/CD workflows, automated testing (unit, integration, load), Experience deploying and operating systems in modern cloud platforms (AWS/GCP/Azure), monitoring, alerting, and autoscaling, Practical experience using AI-powered development tools and modern AI-assisted engineering workflows in professional environments, understanding of software engineering fundamentals while effectively leveraging AI-enhanced development practices, communication skills, proficiency in English, All candidates must be based in Brazil, Open to work in a B2B model
Nice to Have
Experience integrating APIs, automation workflows, or AI-powered services into distributed architectures is considered a plus
What You'll Do.
and optimize high-performance backend services in Go (Golang)
Build and improve event pipelines and messaging systems using Kafka
Design APIs (REST/gRPC) and integrations across multiple backend microservices
and performance tests
Contribute to architectural decisions regarding schemas
and backpressure handling
Leverage AI-assisted development tools to improve development productivity
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
How You'll Work.
Team & Collaboration
Collaborate closely with DevOps, Data Engineering, QA, and AI-focused teams
Communication Scope
communication skills; proficiency in English
Full Job Description
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, pr
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