📍 Job Overview

Job Title: Cloud & AI Solution Engineer – Azure Platform
Company: Microsoft
Location: Copenhagen, Capital Region of Denmark, Denmark
Job Type: Full-Time
Category: Cloud & AI Solution Engineer
Date Posted: 2025-07-22
Experience Level: Mid-Senior level (2-5 years)
Remote Status: On-site (Copenhagen, Denmark)

🚀 Role Summary

Key Responsibilities: Design secure, scalable, and resilient cloud architectures for commercial customers using Azure IaaS and PaaS services.
Key Technologies: Azure Platform, IaaS, PaaS, AI, Hybrid Solutions, Security, Compliance, Containerization, SQL Server, Linux, PostgreSQL, Oracle.
Key Skills: Cloud Architecture, AI Solutions, Migration, Modernization, Networking, Hybrid Solutions, Security, Compliance, Containerization.

💻 Primary Responsibilities

🔧 Cloud & AI Solution Engineering

Cloud Architecture Design: Help customers design secure, scalable, and resilient cloud architectures that support their modernization goals using Azure IaaS and PaaS services.
AI-Powered Infrastructure: Collaborate across teams to deliver impactful solutions that enhance agility, reduce costs, and unlock value through AI-powered infrastructure.
Migration & Modernization: Lead customers through migration and modernization using the 6R strategy, containerization best practices, and Azure-native services like AKS and Arc.
Networking Solutions: Apply strong networking knowledge to design hybrid and cloud-native solutions, including virtual networks, VPNs, and secure routing architectures.
Security & Compliance: Ensure customers meet regulatory requirements and build cloud environments ready for the future using Azure security services and compliance frameworks.

📝 Enhancement Note: This role requires a strong balance of technical depth and breadth, with a focus on Azure IaaS and PaaS services, AI, and networking solutions. Candidates should be prepared to demonstrate expertise in multiple areas and collaborate effectively with cross-functional teams.

🌐 Customer Engagement & Solution Delivery

Customer Collaboration: Work directly with technical and business stakeholders to understand their needs and translate technical capabilities into significant business outcomes.
Solution Delivery: Deliver impactful solutions that enhance agility, reduce costs, and unlock value through AI-powered infrastructure, while ensuring customer satisfaction and success.
Partner Collaboration: Work with trusted partner solutions like NetApp, VMware, RedHat, and SAP to ensure a secure, optimized, and scalable migration experience.

📝 Enhancement Note: This role requires strong customer-facing skills and the ability to build effective relationships with both technical and business stakeholders. Candidates should be prepared to demonstrate excellent communication and collaboration skills, as well as a customer-centric mindset.

🎓 Skills & Qualifications

🎓 Education & Experience

Education: A bachelor's degree in Computer Science, Engineering, or a related field. Relevant industry experience may substitute for a degree.
Experience: 2-5 years of experience in cloud architecture, AI solutions, or a related field. Experience with Azure IaaS and PaaS services, AI, and networking solutions is required.

🛠 Required Skills

Cloud Architecture: Proven expertise in designing secure, scalable, and resilient cloud architectures using Azure IaaS and PaaS services.
AI Solutions: Demonstrated ability to deliver impactful solutions that enhance agility, reduce costs, and unlock value through AI-powered infrastructure.
Migration & Modernization: Experience leading customers through migration and modernization using the 6R strategy, containerization best practices, and Azure-native services like AKS and Arc.
Networking Solutions: Strong networking knowledge to design hybrid and cloud-native solutions, including virtual networks, VPNs, and secure routing architectures.
Security & Compliance: Solid understanding of Azure security services and compliance frameworks to help customers meet regulatory requirements and build cloud environments ready for the future.

🌟 Preferred Skills

Industry Certifications: Certifications in Azure infrastructure, security, and AI (e.g., Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure Security Engineer Associate, Microsoft Certified: Azure AI Engineer Associate).
Programming Languages: Proficiency in one or more programming languages, such as Python, PowerShell, or C#.
Agile Methodologies: Experience working in an Agile environment and familiarity with Agile practices.
Cross-Functional Collaboration: Experience working with cross-functional teams, including designers, marketers, and business stakeholders.

📝 Enhancement Note: While not explicitly stated, having relevant industry certifications, programming language proficiency, and experience with Agile methodologies can significantly enhance a candidate's competitiveness for this role. Additionally, experience working with cross-functional teams is highly valuable in this customer-facing position.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Cloud Architecture Projects: Include examples of cloud architecture designs you've created using Azure IaaS and PaaS services, highlighting security, scalability, and resilience.
AI-Powered Infrastructure Projects: Showcase solutions that enhance agility, reduce costs, and unlock value through AI-powered infrastructure.
Migration & Modernization Projects: Demonstrate your experience leading customers through migration and modernization using the 6R strategy, containerization best practices, and Azure-native services like AKS and Arc.
Networking Solutions Projects: Highlight your strong networking knowledge by showcasing hybrid and cloud-native solutions, including virtual networks, VPNs, and secure routing architectures.

Technical Documentation:

Code Quality & Documentation: Demonstrate your ability to write clean, well-documented code and provide clear, concise technical documentation for your projects.
Version Control & Deployment Processes: Showcase your experience with version control systems (e.g., Git) and deployment processes using Azure DevOps or similar tools.
Testing Methodologies & Performance Metrics: Highlight your understanding of testing methodologies, performance metrics, and optimization techniques for cloud-based solutions.

📝 Enhancement Note: For this role, it's essential to focus on cloud architecture projects that demonstrate your ability to design secure, scalable, and resilient cloud architectures using Azure IaaS and PaaS services. Additionally, include projects that showcase your experience with AI-powered infrastructure, migration and modernization, and networking solutions.

💵 Compensation & Benefits

Salary Range: The salary range for this role in Copenhagen, Denmark, is approximately DKK 600,000 - DKK 800,000 per year (€80,000 - €107,000), based on market research and regional adjustments for web development and cloud engineering roles.

Benefits:

Health & Wellness: Comprehensive health and wellness benefits, including medical, dental, and vision coverage.
Retirement Savings: Competitive retirement savings plans with company matching.
Time Off: Generous time off policies, including vacation, sick leave, and holidays.
Professional Development: Access to a wide range of Microsoft learning resources, including support for earning industry-recognized certifications across Azure infrastructure, security, and AI.
Employee Discounts: Discounts on Microsoft products and services, as well as other employee discounts and perks.

Working Hours: The standard workweek is 40 hours, with flexibility for deployment windows, maintenance, and project deadlines.

📝 Enhancement Note: The salary range provided is an estimate based on market research for web development and cloud engineering roles in Copenhagen, Denmark. Actual salary offers may vary depending on the candidate's experience, skills, and qualifications.

🎯 Team & Company Context

🏢 Company Culture

Industry: Microsoft operates in the technology industry, with a focus on productivity and business processes, intelligent cloud, and AI. This role is part of the commercial business, working with commercial customers to help them modernize their infrastructure and unlock the full value of Microsoft's cloud.

Company Size: Microsoft is a large, multinational corporation with over 180,000 employees worldwide. This size provides opportunities for career growth, collaboration, and exposure to diverse projects and teams.

Founded: Microsoft was founded in 1975 by Bill Gates and Paul Allen. The company has a rich history of innovation and has played a significant role in shaping the technology industry.

Team Structure:

Team Size: The team consists of cloud and AI solution engineers, technical specialists, and sales professionals, working together to deliver impactful solutions for commercial customers.
Specialization Areas: The team is specialized in cloud architecture, AI solutions, migration, modernization, networking, security, and compliance.
Reporting Structure: The team reports to the commercial business, working closely with sales, marketing, and other internal teams to deliver customer solutions.

Development Methodology:

Agile/Scrum Methodologies: The team uses Agile/Scrum methodologies for project management and sprint planning.
Code Review & Quality Assurance: The team follows code review and quality assurance practices to ensure the delivery of high-quality solutions.
Deployment Strategies: The team uses CI/CD pipelines and automated deployment strategies to ensure efficient and reliable solution delivery.

Company Website: Microsoft

📝 Enhancement Note: Microsoft's company culture is characterized by a growth mindset, empowerment, collaboration, and a focus on customer success. This role offers the opportunity to work with a diverse team, collaborate with cross-functional stakeholders, and drive customer impact through AI-powered infrastructure solutions.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the mid-senior level, requiring a strong balance of technical depth and breadth, with a focus on Azure IaaS and PaaS services, AI, and networking solutions. The role offers opportunities for career growth in technical leadership, architecture decision-making, and emerging technology adoption.

Reporting Structure: The role reports to the commercial business, working closely with sales, marketing, and other internal teams to deliver customer solutions. The team is specialized in cloud architecture, AI solutions, migration, modernization, networking, security, and compliance.

Technical Impact: The role has a significant technical impact on customer infrastructure, driving modernization, optimization, and AI-powered solutions that enhance agility, reduce costs, and unlock value.

Growth Opportunities:

Technical Skill Development: The role offers opportunities for technical skill development in Azure infrastructure, security, and AI, with access to a wide range of Microsoft learning resources and support for earning industry-recognized certifications.
Technical Leadership: As the role progresses, there may be opportunities for technical leadership, including mentoring, team management, and architecture decision-making.
Emerging Technology Adoption: The role requires a strong focus on emerging technologies, including AI, machine learning, and intelligent agents, providing opportunities for continuous learning and skill development.

📝 Enhancement Note: This role offers strong potential for career growth, with opportunities for technical skill development, technical leadership, and emerging technology adoption. Candidates should be prepared to demonstrate a strong growth mindset, a commitment to continuous learning, and a desire to drive customer impact through AI-powered infrastructure solutions.

🌐 Work Environment

Office Type: Microsoft's office in Copenhagen is a modern, collaborative workspace designed to foster innovation and teamwork. The office features open-plan workspaces, meeting rooms, and breakout areas, as well as access to on-site amenities like cafes, gyms, and wellness facilities.

Office Location(s): The role is based in Microsoft's Copenhagen office, located at Microsoft Denmark A/S, Tagensvej 8, 2200 Copenhagen N, Denmark.

Workspace Context:

Collaborative Work Environment: The office features open-plan workspaces, meeting rooms, and breakout areas, encouraging collaboration and teamwork.
Development Tools & Equipment: The office provides access to the latest development tools, multiple monitors, and testing devices to support effective cloud and AI solution engineering.
Cross-Functional Collaboration: The role requires close collaboration with sales, marketing, and other internal teams, as well as external partners and customers.

Work Schedule: The standard workweek is 40 hours, with flexibility for deployment windows, maintenance, and project deadlines. The role may require occasional travel to customer sites or other Microsoft offices.

📝 Enhancement Note: Microsoft's office in Copenhagen offers a modern, collaborative workspace designed to foster innovation and teamwork. The role requires strong cross-functional collaboration with sales, marketing, and other internal teams, as well as external partners and customers. Candidates should be prepared to demonstrate excellent communication and collaboration skills, as well as a customer-centric mindset.

📄 Application & Technical Interview Process

Interview Process:

Technical Preparation: Prepare for technical assessments focused on cloud architecture, AI solutions, migration, modernization, networking, security, and compliance. Brush up on your knowledge of Azure IaaS and PaaS services, AI, and networking solutions.
Customer Case Study: Prepare a customer case study that demonstrates your ability to design secure, scalable, and resilient cloud architectures using Azure IaaS and PaaS services, while enhancing agility, reducing costs, and unlocking value through AI-powered infrastructure.
Technical Deep Dive: Be prepared to discuss your technical expertise in cloud architecture, AI solutions, migration, modernization, networking, security, and compliance, as well as your experience with Azure IaaS and PaaS services, AI, and networking solutions.
Behavioral & Cultural Fit Assessment: Prepare for behavioral and cultural fit assessments, demonstrating your ability to work effectively with cross-functional teams, customers, and stakeholders.

Portfolio Review Tips:

Cloud Architecture Projects: Highlight your ability to design secure, scalable, and resilient cloud architectures using Azure IaaS and PaaS services, while enhancing agility, reducing costs, and unlocking value through AI-powered infrastructure.
AI-Powered Infrastructure Projects: Showcase your experience with AI-powered infrastructure solutions that enhance agility, reduce costs, and unlock value for customers.
Migration & Modernization Projects: Demonstrate your ability to lead customers through migration and modernization using the 6R strategy, containerization best practices, and Azure-native services like AKS and Arc.
Networking Solutions Projects: Highlight your strong networking knowledge by showcasing hybrid and cloud-native solutions, including virtual networks, VPNs, and secure routing architectures.

Technical Challenge Preparation:

Cloud Architecture Challenges: Prepare for cloud architecture challenges that focus on designing secure, scalable, and resilient cloud architectures using Azure IaaS and PaaS services, while enhancing agility, reducing costs, and unlocking value through AI-powered infrastructure.
AI-Powered Infrastructure Challenges: Brush up on your knowledge of AI-powered infrastructure solutions that enhance agility, reduce costs, and unlock value for customers.
Migration & Modernization Challenges: Prepare for migration and modernization challenges that focus on leading customers through the 6R strategy, containerization best practices, and Azure-native services like AKS and Arc.
Networking Solutions Challenges: Review your knowledge of hybrid and cloud-native solutions, including virtual networks, VPNs, and secure routing architectures.

ATS Keywords: [Azure, Cloud Architecture, AI Solutions, Migration, Modernization, Networking, Hybrid Solutions, Security, Compliance, Containerization, SQL Server, Linux, PostgreSQL, Oracle, Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure Security Engineer Associate, Microsoft Certified: Azure AI Engineer Associate, Agile, Scrum, CI/CD, Git, Azure DevOps, Customer Success, Customer Engagement, Customer Satisfaction, Customer-Centric, Cross-Functional Collaboration, Stakeholder Management, Technical Leadership, Architecture Decision-Making, Emerging Technology Adoption]

📝 Enhancement Note: The interview process for this role is designed to assess the candidate's technical expertise in cloud architecture, AI solutions, migration, modernization, networking, security, and compliance, as well as their ability to work effectively with cross-functional teams, customers, and stakeholders. Candidates should be prepared to demonstrate a strong balance of technical depth and breadth, with a focus on Azure IaaS and PaaS services, AI, and networking solutions.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: Not applicable, as this role focuses on cloud and AI solution engineering, backend, and infrastructure technologies.

Backend & Server Technologies:

Azure IaaS & PaaS Services: Proficient in Azure IaaS and PaaS services, including compute, storage, and networking services.
AI Services: Familiarity with Azure AI services, such as Azure Machine Learning, Azure Bot Service, and Azure Cognitive Services.
Database Services: Experience with Azure database services, such as Azure SQL Database, Azure Cosmos DB, and Azure Database for PostgreSQL.
Containerization: Proficiency in containerization best practices and experience with Azure Kubernetes Service (AKS) and Azure Container Instances.
Infrastructure as Code (IaC): Familiarity with IaC tools, such as Terraform and Azure Resource Manager (ARM) templates.
Serverless Computing: Experience with Azure Functions and Azure Logic Apps for serverless computing and workflow automation.

Development & DevOps Tools:

Version Control: Proficiency in version control systems, such as Git, and experience with GitHub or Azure DevOps for collaborative development.
CI/CD Pipelines: Experience with CI/CD pipelines and automated deployment strategies using Azure DevOps or similar tools.
Infrastructure as Code (IaC): Familiarity with IaC tools, such as Terraform and Azure Resource Manager (ARM) templates, for automated infrastructure provisioning and management.
Monitoring & Logging: Experience with Azure Monitor, Azure Log Analytics, and other monitoring and logging tools for cloud-based solutions.
Security & Compliance: Familiarity with Azure security services, such as Azure Active Directory, Azure Security Center, and Azure Key Vault, for identity, access, and key management.

📝 Enhancement Note: This role requires a strong focus on Azure IaaS and PaaS services, AI, and networking solutions. Candidates should be prepared to demonstrate proficiency in Azure IaaS and PaaS services, AI services, containerization, infrastructure as code, and other relevant technologies.

👥 Team Culture & Values

Web Development Values:

Customer-Centric: Microsoft's culture is centered around customer success, with a focus on delivering impactful solutions that enhance agility, reduce costs, and unlock value through AI-powered infrastructure.
Innovation: Microsoft encourages continuous learning, experimentation, and innovation, with a strong focus on emerging technologies, including AI, machine learning, and intelligent agents.
One Microsoft: Microsoft fosters a collaborative and inclusive culture, with a focus on working together to achieve shared goals and drive customer success.
Growth Mindset: Microsoft encourages a growth mindset, with a commitment to continuous learning, improvement, and personal development.

Collaboration Style:

Cross-Functional Integration: The role requires close collaboration with sales, marketing, and other internal teams, as well as external partners and customers.
Code Review Culture: The team follows code review practices to ensure the delivery of high-quality solutions and to facilitate knowledge sharing and skill development.
Peer Programming & Mentoring: The team encourages peer programming and mentoring, with a focus on knowledge sharing, technical mentoring, and continuous learning.

📝 Enhancement Note: Microsoft's culture is characterized by a customer-centric mindset, a focus on innovation, and a commitment to continuous learning and improvement. The role requires strong cross-functional collaboration with sales, marketing, and other internal teams, as well as external partners and customers. Candidates should be prepared to demonstrate excellent communication and collaboration skills, as well as a customer-centric mindset.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Cloud Architecture Challenges: Designing secure, scalable, and resilient cloud architectures using Azure IaaS and PaaS services, while enhancing agility, reducing costs, and unlocking value through AI-powered infrastructure.
AI-Powered Infrastructure Challenges: Developing AI-powered infrastructure solutions that enhance agility, reduce costs, and unlock value for customers, while ensuring security, compliance, and scalability.
Migration & Modernization Challenges: Leading customers through migration and modernization using the 6R strategy, containerization best practices, and Azure-native services like AKS and Arc, while ensuring a secure, optimized, and scalable migration experience.
Networking Solutions Challenges: Designing hybrid and cloud-native solutions, including virtual networks, VPNs, and secure routing architectures, that meet enterprise performance and compliance needs.

Learning & Development Opportunities:

Technical Skill Development: Access to a wide range of Microsoft learning resources, including support for earning industry-recognized certifications across Azure infrastructure, security, and AI.
Emerging Technology Adoption: Opportunities for continuous learning and skill development in emerging technologies, including AI, machine learning, and intelligent agents.
Technical Leadership Development: Opportunities for technical leadership development, including mentoring, team management, and architecture decision-making.

📝 Enhancement Note: This role offers strong potential for technical skill development, emerging technology adoption, and technical leadership development. Candidates should be prepared to demonstrate a strong growth mindset, a commitment to continuous learning, and a desire to drive customer impact through AI-powered infrastructure solutions.

💡 Interview Preparation

Technical Questions:

Cloud Architecture Questions: Prepare for technical questions focused on cloud architecture, AI solutions, migration, modernization, networking, security, and compliance. Brush up on your knowledge of Azure IaaS and PaaS services, AI, and networking solutions.
AI-Powered Infrastructure Questions: Prepare for technical questions focused on AI-powered infrastructure solutions that enhance agility, reduce costs, and unlock value for customers, while ensuring security, compliance, and scalability.
Migration & Modernization Questions: Prepare for technical questions focused on leading customers through migration and modernization using the 6R strategy, containerization best practices, and Azure-native services like AKS and Arc, while ensuring a secure, optimized, and scalable migration experience.
Networking Solutions Questions: Prepare for technical questions focused on designing hybrid and cloud-native solutions, including virtual networks, VPNs, and secure routing architectures, that meet enterprise performance and compliance needs.

Company & Culture Questions:

Microsoft Culture Questions: Prepare for behavioral and cultural fit assessments, demonstrating your ability to work effectively with cross-functional teams, customers, and stakeholders, while aligning with Microsoft's customer-centric mindset, focus on innovation, and commitment to continuous learning and improvement.
Customer Success Questions: Prepare for questions focused on customer success, demonstrating your ability to deliver impactful solutions that enhance agility, reduce costs, and unlock value through AI-powered infrastructure, while ensuring customer satisfaction and driving customer success.
Technical Leadership Questions: Prepare for questions focused on technical leadership, demonstrating your ability to make architecture decisions, mentor team members, and drive technical innovation and adoption within the team.

Portfolio Presentation Strategy:

Cloud Architecture Presentation: Present your cloud architecture projects, highlighting your ability to design secure, scalable, and resilient cloud architectures using Azure IaaS and PaaS services, while enhancing agility, reducing costs, and unlocking value through AI-powered infrastructure.
AI-Powered Infrastructure Presentation: Present your AI-powered infrastructure projects, showcasing your experience with AI-powered infrastructure solutions that enhance agility, reduce costs, and unlock value for customers, while ensuring security, compliance, and scalability.
Migration & Modernization Presentation: Present your migration and modernization projects, demonstrating your ability to lead customers through migration and modernization using the 6R strategy, containerization best practices, and Azure-native services like AKS and Arc, while ensuring a secure, optimized, and scalable migration experience.
Networking Solutions Presentation: Present your networking solutions projects, highlighting your strong networking knowledge by showcasing hybrid and cloud-native solutions, including virtual networks, VPNs, and secure routing architectures, that meet enterprise performance and compliance needs.

📝 Enhancement Note: The interview process for this role is designed to assess the candidate's technical expertise in cloud architecture, AI solutions, migration, modernization, networking, security, and compliance, as well as their ability to work effectively with cross-functional teams, customers, and stakeholders. Candidates should be prepared to demonstrate a strong balance of technical depth and breadth, with a focus on Azure IaaS and PaaS services, AI, and networking solutions.

📌 Application Steps

To apply for this cloud and AI solution engineering position focused on the Azure platform at Microsoft:

Submit Your Application: Submit your application through the application link provided in the job listing.
Prepare Your Portfolio: Customize your web portfolio with live demos and responsive examples that highlight your cloud architecture, AI-powered infrastructure, migration and modernization, and networking solutions projects. Ensure your portfolio showcases your ability to design secure, scalable, and resilient cloud architectures using Azure IaaS and PaaS services, while enhancing agility, reducing costs, and unlocking value through AI-powered infrastructure.
Optimize Your Resume: Tailor your resume to highlight your project experience, technical skills, and achievements in cloud architecture, AI solutions, migration, modernization, networking, security, and compliance. Include relevant keywords and phrases to optimize your resume for web technology roles and cloud engineering positions.
Prepare for Technical Interviews: Brush up on your knowledge of Azure IaaS and PaaS services, AI, and networking solutions, and prepare for technical interviews focused on cloud architecture, AI-powered infrastructure, migration and modernization, and networking solutions. Familiarize yourself with Microsoft's culture, values, and customer-centric mindset, and prepare for behavioral and cultural fit assessments.
Research Microsoft: Thoroughly research Microsoft's products, services, and company culture to demonstrate your understanding of the organization and its commitment to customer success, innovation, and continuous learning and improvement.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Cloud & AI Solution Engineer – Azure Platform