Staff Engineer - .NET/AI

New
BrazilFull-TimeStaff
SalaryCompetitive annual bonus and performance-based incentives
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Job Details

Required Skills
AWSSQLC#Azure.NETReactRESTful APIsMicroservices

Requirements

  • Strong experience in backend software engineering using C# and .NET ecosystems.
  • Solid understanding of distributed systems, microservices, and scalable architecture design.
  • Hands-on experience building REST APIs, event-driven systems, and cloud-native applications (AWS or Azure).
  • Proficiency with React for modern web interfaces and full-stack collaboration.
  • Strong knowledge of data structures, algorithms, object-oriented design, and software security (OWASP).
  • Experience with CI/CD pipelines, Git workflows, and automated testing.
  • Experience with observability tools (e.g., Grafana, Splunk).
  • Familiarity with SQL (PostgreSQL, MySQL, SQL Server) and NoSQL (MongoDB) databases.
  • Exposure to AI concepts such as LLMs, RAG, vector databases, and agent frameworks like LangGraph or CrewAI.
  • Interest in agentic workflows, Model Context Protocol, and AI-native design.
  • Strong communication skills for distributed, Agile environments.
  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.

Responsibilities

  • Design, build, and evolve scalable backend and cloud-native solutions using modern .NET technologies.
  • Develop and maintain RESTful APIs and microservices architectures.
  • Contribute to AI-enabled engineering initiatives, including LLM-aware systems and agentic workflows.
  • Support the evolution of engineering practices through TDD, BDD, and CI/CD pipelines.
  • Implement observability and production monitoring using tools like Grafana or Splunk.
  • Collaborate with cross-functional teams to identify bottlenecks and improve system performance.
  • Mentor engineers and contribute to technical leadership across teams.
  • Participate in Agile ceremonies to ensure consistent delivery of complex projects.
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Competitive annual bonus and performance-based incentives
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