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Brasil
Remote only
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Pessoa Desenvolvedor Back-end .NET Senior (AI Advocate) based in Brazil.
We are seeking a Senior .NET Backend Developer with a strong passion for innovation and Artificial Intelligence to develop and enhance business-critical applications. In this role, you will combine advanced backend engineering expertise with strategic AI advocacy, helping accelerate the adoption of intelligent tools and solutions across teams and client projects. You will design scalable, high-performance applications, build robust APIs, and contribute to distributed cloud architectures. Working closely with multidisciplinary teams, you will influence technical decisions and promote engineering best practices. You will also explore and implement emerging AI technologies to improve development workflows and product capabilities. This is an opportunity to make a meaningful technical impact in a collaborative, cloud-native environment focused on continuous innovation.
Design, develop, and maintain robust backend applications using .NET Core, ensuring high performance, scalability, and availability.
Build, implement, and maintain RESTful APIs and integrations between different systems and services.
Champion the adoption of Artificial Intelligence tools and solutions across development workflows, products, and client engagements.
Explore, evaluate, and promote AI technologies and frameworks to improve engineering productivity and software delivery.
Participate in technical architecture decisions, contributing to the design and implementation of microservices and event-driven architectures.
Establish and promote coding standards, engineering best practices, and architectural guidelines.
Ensure software quality through automated testing, code reviews, and continuous improvement practices.
Collaborate with multidisciplinary development teams to investigate and resolve complex technical challenges.
Monitor, maintain, and optimize application performance in Cloud Native environments.
Support the implementation and evolution of cloud-based solutions, ensuring reliability, security, and operational efficiency.
Strong professional experience in backend development using .NET Core.
Solid hands-on experience designing and implementing microservices architectures and RESTful APIs.
Practical knowledge of Artificial Intelligence concepts, tools, and frameworks, including RAG, BMAD, APM, Devin, Claude, GitHub Copilot, and Hive or similar solutions.
Mandatory experience working with the AWS ecosystem and cloud-based architectures.
Strong knowledge of relational and NoSQL databases.
Experience with messaging and event-streaming technologies such as Apache Kafka, RabbitMQ, or similar platforms.
Hands-on experience with Docker, Kubernetes, DevOps practices, and CI/CD pipelines.
Experience developing and maintaining automated tests and ensuring software quality.
Familiarity with testing frameworks and tools such as JUnit and Mockito, or equivalent technologies.
Strong analytical and problem-solving skills, particularly when addressing complex software engineering challenges.
Ability to collaborate effectively with multidisciplinary teams and contribute to architectural and technical discussions.
Proactive mindset, adaptability, and enthusiasm for exploring emerging AI technologies and encouraging their adoption.
Strong communication skills and the ability to share technical knowledge and promote innovation across teams.
Fully remote working arrangement.
Opportunity to work with modern technologies, including .NET, AWS, Kubernetes, and Artificial Intelligence.
Strategic involvement in driving AI adoption and innovation across development teams and client projects.
Exposure to complex, business-critical applications and distributed cloud architectures.
Opportunities for continuous learning and professional development.
Collaborative environment focused on technical excellence, innovation, and knowledge sharing.
Opportunity to influence architectural decisions and contribute to the evolution of engineering practices.
