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3 дня назад

.NET Engineering Manager (Healthcare)

Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Romania/Bulgaria
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

.NET Engineering Manager (Healthcare): Leading and supporting multiple engineering teams delivering modern SaaS products for the healthcare industry with an accent on technical leadership, software delivery, and process improvement. Focus on managing concurrent initiatives, removing delivery blockers, and promoting the integration of AI-powered development tools into the SDLC.

Location: Must be based in the European Union region and hold a valid work permit (specifically mentioned for Bulgaria and Romania).

Company

A global AI-first digital transformation and engineering partner with over 25 years of experience delivering scalable products and data-driven solutions for major global clients.

What you will do

  • Lead and support 3–5 engineering teams developing SaaS products for the healthcare sector.
  • Manage engineering teams from both a technical leadership and delivery perspective.
  • Ensure high-quality, timely software delivery and remove blockers to optimize team performance.
  • Drive continuous process improvements and foster a collaborative, high-performing team culture.
  • Collaborate with Product Managers and QA Engineers to maximize business value.
  • Promote the use of AI-powered tools (e.g., GitHub Copilot) throughout the software development lifecycle.

Requirements

  • Strong technical background in C#, .NET, and Microsoft Azure.
  • Proven experience leading multiple software engineering teams simultaneously.
  • Deep understanding of software architecture, engineering best practices, and modern methodologies.
  • Experience in mentoring engineers and supporting their professional growth.
  • Hands-on experience with AI-assisted development tools such as GitHub Copilot, Claude Code, or Devin.
  • Fluent English proficiency and a valid EU work permit.

Nice to have

  • Experience implementing structured GenAI workflows and prompt patterns within the SDLC.
  • Familiarity with agent-based workflows and AI-augmented development patterns.

Culture & Benefits

  • People-first culture with a strong emphasis on engineering excellence.
  • Opportunity to work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake.
  • Environment focused on continuous growth, knowledge sharing, and consulting mindset.
  • Fast-paced, product-oriented work environment with diverse global clients.

Hiring process

  • CV review.
  • HR introductory call.
  • Technical interview.
  • Client interview.
  • Final decision.

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