Mirego
Mirego
Mirego एक बहुविषयक डिजिटल उत्पाद स्टूडियो है, जो डिज़ाइन, रणनीति और सॉफ़्टवेयर विकास में विशेषज्ञता रखता है। कंपनी व्यावसायिक संगठनों के साथ साझेदारी करके मोबाइल, वेब, टैबलेट, कनेक्टेड डिवाइस और वॉइस प्लेटफ़ॉर्म के लिए डिजिटल उत्पादों की योजना बनाती है, उनका डिज़ाइन करती है और उन्हें विकसित करती है। इसका काम उत्पाद रणनीति, UX/UI डिज़ाइन और इंजीनियरिंग को एकीकृत करके बड़े पैमाने पर डिजिटल परिवर्तन में सहायता करता है। Mirego प्लेटफ़ॉर्म, प्रशिक्षण और विकास सेवाओं के माध्यम से संगठनों को कृत्रिम बुद्धिमत्ता अपनाने में भी मदद करता है और विभिन्न उद्योगों के ग्राहकों को सेवा देने का 15 से अधिक वर्षों का अनुभव रखता है।

Back-End Developer and DevOps Engineer

Build back-end software and cloud-native infrastructure at Mirego, shaping digital products across industries. The role covers CI/CD, security, observability, and responsible use of AI-assisted development tools.

विवरण

  • Develop and deliver back-end services and cloud-native infrastructure.
  • Lead DevOps projects from planning through delivery, covering CI/CD, infrastructure as code, observability, security, and secrets management.
  • Contribute to agile ceremonies and technical discussions that shape product direction.
  • Spot opportunities for improvement and advocate for practical, innovative solutions.
  • Work with development teams to apply DevOps practices throughout the software development lifecycle.
  • Use AI-assisted development tools responsibly to improve productivity and work quality.
  • Work directly with clients, present technical solutions, and help teams strengthen their practices.
  • Create digital products and services for a range of industries.

आवश्यकताएँ

  • Professional fluency in English and French.
  • Strong back-end development experience with Elixir, .NET, or Python.
  • Substantial hands-on DevOps experience.
  • Proficiency with AWS or Azure, Terraform, Docker, and GitHub Actions.
  • Understanding of security, observability, and maintainability challenges.
  • Understanding of AI fundamentals and responsible AI use.
  • Comfort using AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code.
  • Demonstrated autonomy and initiative.
  • Deep knowledge of software development and architecture fundamentals.
  • Substantial real-world experience.

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