Desenvolvedor Backend .NET SR

Accountabilities: Develop and maintain messaging consumers using C#/.NET and Azure Functions. Build, maintain, and evolve REST APIs and integrations between multiple systems. Work within an event-driven microservices architecture involving distributed services and complex business rules. Integrate systems through REST APIs and asynchronous events, ensuring reliable communication and processing. Investigate and resolve messaging failures, dead-letter queues (DLQs), integration issues, and inconsistencies between systems. Troubleshoot distributed production environments, including Kubernetes pods, logs, scaling, rollbacks, and deployment issues. Participate in CI/CD pipelines, deployments, and operational activities across Microsoft Azure and Kubernetes environments. Debug end-to-end flows spanning events, consumers, external APIs, and databases. Apply unit and integration testing practices to ensure reliability and maintainability. Use AI-powered development tools throughout the engineering lifecycle, including code generation, debugging, analysis, and automation. Collaborate with engineers and technical stakeholders to evaluate problems, discuss trade-offs, and define robust technical solutions. Contribute to continuous improvements in observability, deployment processes, system resilience, and engineering practices. Requirements Solid professional experience with C# and .NET Core 6+. Strong experience developing and maintaining REST APIs and integrations. Practical experience with Microsoft Azure, particularly Azure Functions, Azure Service Bus, Blob Storage, and Application Insights. Hands-on Kubernetes experience, including deployments, pod troubleshooting, scaling, rollbacks, and log analysis. Experience with CI/CD using Azure DevOps, GitHub Actions, or comparable platforms. Strong understanding of messaging and event-driven architectures, using technologies such as Azure Service Bus, RabbitMQ, SQS, Kafka, or equivalent solutions. Knowledge of queues, topics, Dead-Letter Queues (DLQs), retry policies, idempotency, event ordering, and event replay. Experience working with SQL Server or another relational database. Experience with Git, branching strategies, code reviews, and collaborative development workflows. Experience creating and maintaining unit and integration tests. Practical experience using AI tools for software development, such as KIRO or similar coding and productivity assistants. Comfort working with distributed systems, multiple integrations, and complex dependencies. Strong troubleshooting and analytical skills, with the autonomy to investigate and resolve production incidents. Clear communication and collaboration skills for discussing technical solutions and working effectively with engineering teams. Experience with Docker, including image builds, Docker Compose, and troubleshooting, is desirable. Knowledge of Helm Charts, Kubernetes manifests, HPA, probes, and resource limits is a plus. Experience with Elasticsearch, including queries, aggregations, and indexes, is desirable. Familiarity with Microsoft Dynamics 365 and OData APIs is a plus. Knowledge of feature flags and gradual rollout strategies is desirable. Experience with observability tools such as Application Insights, Grafana, Datadog, or similar platforms is a plus. Experience integrating legacy and modern systems or working in education/CRM domains is desirable. Experience with generative AI beyond coding assistants, including LLM integrations, RAG, and embeddings, is a strong plus. Benefits Full-time employment contract. Remote work model, providing flexibility while working from Brazil. Opportunity to work with modern cloud and backend technologies, including .NET, Microsoft Azure, Kubernetes, messaging, and event-driven architectures. Exposure to distributed systems, complex integrations, CI/CD, observability, and production engineering. Opportunity to apply AI and generative AI technologies to real-world software development workflows. Collaborative and technically challenging environment focused on innovation and continuous learning. Professional development opportunities through hands-on work with modern engineering practices and technologies. Inclusive work environment with a focus on collaboration, diversity, and professional growth.