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Esta oferta expiro el 23/08/2026. Ya no acepta candidaturas.
Principal .NET Architect (Enterprise Integration & Azure)
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Descripcion del puesto
About the role
We are seeking a Principal .NET Architect to lead the design and governance of enterprise‑scale integration platforms on Microsoft Azure. You will shape architecture standards, ensure scalability and maintainability, and drive AI adoption across engineering teams.
Key responsibilities
- Define and enforce architecture standards for API ecosystems, microservices, and cloud‑native solutions.
- Design and oversee enterprise integration platforms, distributed systems, and event‑driven architectures.
- Collaborate with business stakeholders to model domains and translate requirements into technical solutions.
- Review code, pull requests, and architectural decisions to maintain quality and alignment with business outcomes.
- Champion AI‑assisted development, LLM integration, and responsible AI governance.
- Implement observability practices, including monitoring, logging, distributed tracing, and telemetry.
Required profile
- Bachelor’s degree in Computer Science or related field, or equivalent experience.
- 10+ years of software engineering experience, with 5+ years in senior technical leadership or architecture roles.
- Proven track record designing enterprise‑scale integration platforms and distributed systems.
- Strong communication, stakeholder management, and mentoring abilities.
Required skills
- Modern .NET patterns, async pipelines, and large‑scale codebases.
- API Architecture, REST, OpenAPI, OAuth2, OIDC, API security, and identity management.
- Domain‑Driven Design (DDD), Event‑Driven Architecture (EDA), CQRS, Event Sourcing, Saga patterns.
- Test‑Driven Development (TDD), microservices, distributed systems, cloud‑native architecture.
- Microsoft Azure services: API Management, Functions, Service Bus, Event Hubs, AKS, Azure SQL, Application Insights, Azure AI Services.
- Observability tools: monitoring, logging, distributed tracing, OpenTelemetry.
- AI‑assisted development tools (e.g., GitHub Copilot) and LLM integration.
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