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У роли понятная основа для senior-инженера по .NET и Azure, дополненная практическими задачами с ИИ, но первоначальный срок в шесть месяцев снижает уверенность в долгосрочной стабильности.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer (Azure/.NET & AI): Building and maintaining cloud-native applications, RESTful APIs, distributed systems, and AI-assisted engineering workflows with an accent on C#/.NET, Microsoft Azure, specification-driven development, and secure code validation. Focus on designing microservices and event-driven integrations, improving AI coding agents, and ensuring application observability, performance, and reliability.
hirify.global designs, builds, and scales meaningful AI-powered solutions across software, cloud, data, and artificial intelligence.
What you will do
Design, develop, test, and maintain cloud-native applications and RESTful APIs using C#, .NET 8+, ASP.NET Core, and Microsoft Azure.
Build and enhance distributed systems, microservices, serverless solutions, and event-driven enterprise integrations.
Support OpenSpec and specification-driven development workflows, and build or improve AI coding agents.
Guide engineers in using AI-assisted development tools and validate AI-generated code through testing, secure coding, and code reviews.
Design and maintain enterprise APIs with Azure API Management, including technical guidance for MCP servers built over REST APIs.
Troubleshoot production issues, improve observability, performance, and reliability, and collaborate on technical documentation, Agile ceremonies, and continuous improvement.
Requirements
7+ years of professional Software Engineering experience.
5+ years of hands-on C#/.NET development and 4+ years of experience developing and supporting applications on Microsoft Azure.
Strong experience with cloud-native applications, RESTful APIs, .NET 8+, ASP.NET Core, distributed systems, microservices, and enterprise integrations.
Hands-on experience with Azure Functions, App Services, Azure Storage, Service Bus, Azure SQL, Application Insights, Key Vault, and Azure API Management.
Practical experience using AI-assisted development tools such as GitHub Copilot, OpenSpec, or similar solutions, plus an understanding of specification-driven development workflows.
Experience with Git-based version control, branching strategies, pull requests, automated testing, and DevOps practices.
Knowledge of authentication, authorization, application security, and secure development practices.
Strong problem-solving skills and ability to collaborate with Product, Business, Architecture, and Engineering teams.
Strong verbal and written English communication skills. A bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field is desired, or equivalent professional experience.
Nice to have
Hands-on experience with OpenSpec or similar specification-driven development platforms.
Experience building coding agents and supporting AI-assisted engineering adoption.
Knowledge of Model Context Protocol, agent orchestration frameworks, or multi-agent systems.
Experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, or other Azure AI Services.
Experience with AI evaluation, testing, observability, governance, and high-volume transactional systems.
Experience collaborating with distributed onshore, nearshore, and offshore teams.
Culture & Benefits
Initial engagement duration is 6 months.
Work remotely from Bogotá, Colombia.
Work in an AI-native organization focused on empowering excellence, collaborative teamwork, respect, transparency, and efficient communication.
Participate in an environment focused on fast learning, ownership, modern ways of working, and AI-native transformation.
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