IT Operations Manager - Full Stack Developer Azure & AI

Job Description

The IT department, a part of IS/IT, are responsible for architecture, strategy, maintenance and support of Sobi information systems and IT infrastructure as clients, servers, network and other infrastructure equipment. IT department consist of four teams – IT Operations, Infrastructure & Cyber security, Digital Workplace and Automation & Integration.

All IT activities are performed in accordance with Sobi’s quality framework (GxP) and applicable regulatory and authority requirements.

Within this context, the Digital Workplace & AI function plays a key role in enabling secure, compliant, and scalable digital solutions across Sobi. Under the leadership of the Head of Digital Workplace & AI, the team is responsible for developing and advancing Sobi’s Digital Workplace, Microsoft 365 platform, and enterprise AI capabilities. This includes setting strategic direction, defining objectives, and delivering modern, AI-enabled tools that support collaboration, productivity, and innovation across the organization.

• Develop and maintain enterprise-grade AI applications built on Azure OpenAI, including chat interfaces, document processing pipelines, and real-time collaboration features

• Design and implement Azure cloud solutions leveraging Azure Cosmos DB, Azure Cognitive Search, Azure Blob Storage, Azure Document Intelligence, and Microsoft Graph API

• Work with Digital Workplace & AI development activities, including service requests, change implementations, and roadmap deliverables aligned with team objectives

• Build and optimize full-stack applications using Next.js 14, React 18, Type Script, and modern frontend/backend patterns (App Router, Server Components, Server Actions)

• Implement secure authentication and authorization using Azure AD OAuth2, Next Auth.js, and role-based access control (RBAC) in compliance with GxP requirements

• Develop real-time features using Azure Signal
  
  R Service and Web Socket technologies to enable collaborative user experiences

• Optimize AI/LLM integrations, including prompt engineering, token management, streaming completions, and multi-model AI orchestration

• Ensure code quality, security, and compliance through code reviews, testing, documentation, and adherence to Sobi's quality framework (GxP)

• Work proactively with Service Now to resolve incoming bug reports and other issues

Education/Learning Experience/Work Experience

Required

• 4+ years of professional experience working as part of a software development team
• Proven ability to work autonomously and take ownership of features from concept to deployment
• Hands‑on experience with Azure cloud services (Cosmos DB, Azure OpenAI, Cognitive Search, Blob Storage)
• Experience building and maintaining full‑stack applications in production environment

Ideally you bring also:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience)
• Experience in healthcare, pharmaceutical, or regulated industries preferred
• Background in AI/LLM application development or conversational AI platforms

Skills/Knowledge/Languages

Required:

• Fluent in English (written and spoken)
• React 18+ and Next.js 14+ (App Router, Server Components, Server Actions)
• Type Script
• Node.js and backend API development
• Azure cloud services:
  Cosmos DB, Azure OpenAI, Azure Cognitive Search, Blob Storage, Azure AD
• Microsoft Graph API
• Authentication & security: OAuth2, Next Auth.js, RBAC
• No
  
  SQL database design and query optimization
• Git version control and collaborative development workflows
• Understanding of AI/LLM fundamentals:
  How language models work, prompt engineering basics, token management, streaming responses

Ideally you bring also:

• Dev Ops practices: CI/CD pipelines, Azure Pipelines, Docker, containerization
• Agile methodology:
  Scrum, Kanban, sprint planning, iterative development
• Azure Developer CLI (azd) and Infrastructure as Code (Bicep, ARM templates)
• Advanced AI/LLM knowledge: RAG patterns, vector search, embeddings, multi‑model orchestration
• Python for scripting, data processing, or AI/ML workflows
• Azure Signal
  
  R Service and real‑time communication technologies
• Document processing:
  Azure…