Golang Engineer

🕒 vor 1 Monat

đŸ‡§đŸ‡· Brasilien – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🔙 Backend-Entwickler

đŸ—ŁïžđŸ‡ș🇾🇬🇧 Englisch erforderlich

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Logo of Plain Concepts

Plain Concepts

201 - 500 Mitarbeiter

GegrĂŒndet 2006

đŸ€– KĂŒnstliche Intelligenz

🔒 Cybersecurity

Artificial Intelligence ‱ Cybersecurity ‱ Cloud Computing

Plain Concepts ist ein innovatives Technologieunternehmen, das sich der Bereitstellung maßgeschneiderter Lösungen fĂŒr eine breite Palette digitaler Anforderungen verschrieben hat. Mit einem Fokus auf zukunftsweisende Bereiche wie KĂŒnstliche Intelligenz, Cybersicherheit, Cloud Computing und Internet der Dinge (IoT) ist Plain Concepts ein Partner fĂŒr Unternehmen, die ihre AblĂ€ufe verbessern und ihre digitale Landschaft sichern möchten. Als anerkannter Microsoft AI Partner zielt Plain Concepts darauf ab, Daten in aufschlussreiche Informationen zu verwandeln und GeschĂ€ftsapplikationen durch maßgeschneiderte IoT-Entwicklungen zu verbessern. DarĂŒber hinaus fördert das Unternehmen revolutionĂ€re Fortschritte in den Bereichen Augmented und Virtual Reality und treibt digitale Transformationsinitiativen mit Microsoft 365 voran, mit einem starken Fokus auf Nachhaltigkeit und gesellschaftliches Engagement.

Beschreibung

‱ 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.

🎯 Anforderungen

‱ 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

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