Plain Concepts

Plain Concepts

Plain Concepts: Multinational software company offering innovative solutions in Web, App development, AI, Mixed Reality, Big Data, Blockchain, IoT, and Cloud. Recognized by Microsoft and industry leaders for expertise and innovation.

Internet Software & Services
251-1K
Founded 2006

Description

  • Develop, maintain, and optimize high-performance backend services in Go.
  • Build and improve event pipelines and messaging systems using Kafka.
  • Design REST and gRPC APIs and integrate them across backend microservices.
  • Implement unit, integration, and performance tests.
  • Collaborate closely with DevOps, Data Engineering, QA, and AI-focused teams.
  • Contribute to architectural decisions around schemas, event versioning, idempotency, streaming patterns, and backpressure handling.
  • Use AI-assisted development tools to improve productivity, debugging, testing, documentation, and code quality.
  • Contribute to AI-driven engineering practices and developer productivity initiatives across the software development lifecycle.
  • Design backend services and integrations that support AI/LLM-powered systems, intelligent automation workflows, and scalable data processing.
  • Evaluate and implement emerging AI engineering tools and frameworks to improve software delivery efficiency and engineering standards.

Requirements

  • 5+ years of advanced Golang experience.
  • Deep hands-on experience with Apache Kafka.
  • Strong understanding of concurrency, memory management, profiling, benchmarking, and idiomatic Go patterns.
  • Solid foundation in distributed systems principles, including consistency, replication, fault tolerance, event-driven architecture, resiliency patterns, and backpressure handling.
  • 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 AWS, GCP, or Azure, including monitoring, alerting, and autoscaling.
  • Practical experience using AI-powered development tools and AI-assisted engineering workflows in professional environments.
  • Strong software engineering fundamentals with the ability to leverage AI-enhanced development practices.
  • Experience integrating APIs, automation workflows, or AI-powered services into distributed architectures is a plus.
  • Strong communication skills and proficiency in English.
  • Must be based in Brazil.
  • Open to work in a B2B model.

Interested in this position?

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