
201 - 500 employees
Founded 2006
đ€ Artificial Intelligence
đ Cybersecurity
Artificial Intelligence âą Cybersecurity âą Cloud Computing
Plain Concepts is an innovative technology company committed to delivering customized solutions across a wide array of digital needs. With a focus on cutting-edge areas like Artificial Intelligence, cybersecurity, cloud computing, and Internet of Things (IoT), Plain Concepts is a partner for companies looking to enhance operations and secure their digital landscapes. As a recognized Microsoft AI Partner, Plain Concepts aims to transform data into insightful information and improve business applications through bespoke IoT developments. Additionally, the company fosters revolutionary advancements in augmented and virtual reality, while driving digital transformation initiatives with Microsoft 365 and a strong focus on sustainability and social commitment.
đ May 15
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201 - 500 employees
Founded 2006
đ€ Artificial Intelligence
đ Cybersecurity
Artificial Intelligence âą Cybersecurity âą Cloud Computing
Plain Concepts is an innovative technology company committed to delivering customized solutions across a wide array of digital needs. With a focus on cutting-edge areas like Artificial Intelligence, cybersecurity, cloud computing, and Internet of Things (IoT), Plain Concepts is a partner for companies looking to enhance operations and secure their digital landscapes. As a recognized Microsoft AI Partner, Plain Concepts aims to transform data into insightful information and improve business applications through bespoke IoT developments. Additionally, the company fosters revolutionary advancements in augmented and virtual reality, while driving digital transformation initiatives with Microsoft 365 and a strong focus on sustainability and social commitment.
âą Develop, maintain, and optimize high-performance backend services in Go (Golang). âą Build and improve event pipelines and messaging systems using Kafka (producers, consumers, partitions, consumer groups). âą Design APIs (REST/gRPC) and integrations across multiple backend microservices. âą Implement unit, integration, and performance tests. âą Collaborate closely with DevOps, Data Engineering, QA, and AI-focused teams. âą Contribute to architectural decisions regarding schemas, event versioning, idempotency, streaming patterns, and backpressure handling. âą Leverage AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT, Claude, or similar) to improve development productivity, debugging, testing, documentation, and code quality. âą Contribute to the adoption of AI-driven engineering practices and developer productivity initiatives across the software development lifecycle. âą Design backend services and integrations capable of supporting AI/LLM-powered systems, intelligent automation workflows, and scalable data processing solutions. âą Evaluate and implement emerging AI engineering tools and frameworks to improve software delivery efficiency and engineering standards.
âą Advanced proficiency in Golang (5+ years), with deep understanding of concurrency, memory management, profiling, benchmarking, and idiomatic Go patterns. âą - Expert-level hands-on experience with Kafka. âą - Solid foundation in distributed systems principles: consistency, replication, fault tolerance, event-driven architecture, resiliency patterns, and backpressure handling. âą - Strong experience with microservices at scale, API design (REST/gRPC), and service-to-service communication. âą - Proficiency with Docker, CI/CD workflows, and automated testing (unit, integration, load). âą - Experience deploying and operating systems in modern cloud platforms (AWS/GCP/Azure), including monitoring, alerting, and autoscaling. âą - Practical experience using AI-powered development tools and modern AI-assisted engineering workflows in professional environments. âą - Strong understanding of software engineering fundamentals while effectively leveraging AI-enhanced development practices. âą - Experience integrating APIs, automation workflows, or AI-powered services into distributed architectures is considered a plus. âą - Strong communication skills and proficiency in English. âą - All candidates must be based in Brazil âą - Open to work in a B2B model
Apply Nowđ May 15
Software Engineer focusing on modernizing financial systems using Java and Quarkus. Engaging in developing APIs and integrations with a dynamic team environment.
đŁïžđ§đ·đ”đč Portuguese Required
đ May 15
Mid .NET Developer at WEX, simplifying the business of running a business in Brazil. Collaborating with stakeholders and designing solutions for employer benefits systems.
đ§đ· Brazil â Remote
đ° $310M Post-IPO Debt on 2020-06
â° Full Time
đĄ Mid-level
đ Senior
đ Backend Engineer
đ May 15
Senior Java Full Stack Developer responsible for critical application support. Collaborating remotely on incident resolution and system stability in a distributed environment.
đŁïžđ§đ·đ”đč Portuguese Required
đ May 15
Senior Java Backend Developer at Evertec, specialized in financial tech solutions. Responsible for developing scalable software and APIs for financial institutions and fintechs.
đ§đ· Brazil â Remote
đ° Post-IPO Secondary on 2015-05
â° Full Time
đ Senior
đ Backend Engineer
đŁïžđ§đ·đ”đč Portuguese Required
đ May 15
201 - 500
Technical Leader managing a full stack development team focused on critical business solutions for the insurance sector, working with .NET and Angular technologies.
đŁïžđ§đ·đ”đč Portuguese Required