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4 часа назад

Senior Software Engineer (.Net and AWS) (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/Singapore/US +6 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer (.Net and AWS) (AI): Building secure, scalable, high-performing microservices and serverless SaaS solutions with an accent on C#/.NET, AWS, and AI-assisted engineering. Focus on owning services from development through monitoring, embedding governance and compliance checks, and designing resilient systems with strong observability and security.

Location: Budapest, Hungary; hybrid work model with onsite attendance at least 50% of the time for employees within commuting distance of a hirify.global office.

Company

hirify.global provides AI-enabled governance, risk, and compliance SaaS solutions through the hirify.global One Platform.

What you will do

  • Design, build, and own secure, scalable, high-performing microservices and serverless solutions using AWS and C#/.NET.
  • Modernize existing services and manage services end to end from development through deployment, monitoring, and incident response.
  • Use AI tools for coding, debugging, testing, prototyping, and productivity while validating outputs for quality and safety.
  • Advise on LLM concepts, prompt patterns, ethical and privacy considerations, residual risks, and mitigations.
  • Drive architectural discussions, pilot emerging tools, and integrate automated governance and compliance checks into delivery pipelines.
  • Coach peers and collaborate with Product, Security, DevOps, and other teams on features, deployment, and compliance.

Requirements

  • 5–7 years of professional software engineering experience in an agile environment.
  • Strong experience with C#/.NET, RESTful APIs, OpenAPI, AWS serverless patterns, and secure software development.
  • Experience with infrastructure as code using CDK or Terraform, Docker, CI/CD pipelines, monitoring, and observability tools.
  • Experience with SQL/PostgreSQL and/or NoSQL databases, including schema design and performance optimization.
  • Understanding of LLM concepts, safe and unsafe AI use cases, prompt engineering, AI tool validation, and basic compliance risks.
  • Strong communication and mentoring skills; a degree in Computer Science, Engineering, or a related field is preferred or equivalent hands-on experience.

Nice to have

  • Familiarity with Angular for effective collaboration on end-to-end features.

Culture & Benefits

  • Flexible work environment with a hybrid model for office-based employees.
  • Comprehensive health benefits, generous time off, wellness programs, and meeting-free days.
  • Global days of service and resources supporting diversity, inclusion, and employee resource groups.
  • Collaboration across offices in the United States, Canada, the United Kingdom, Ireland, Hungary, Germany, India, Singapore, and Australia.

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