Desenvolvedor Backend .NET SR

Team: IT

Location: Brazil

Commitment: Full-time

Workplace Type: remote

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.