📍 Job Overview

Job Title: Solution Engineer - Cloud & AI Infrastructure
Company: Microsoft
Location: Multiple Locations, Switzerland
Job Type: Full-Time
Category: Cloud Infrastructure & AI Specialist
Date Posted: 2025-08-01

🚀 Role Summary

Cloud Migration & Modernization: Lead customers in migrating core workloads (Windows, SQL Server, Linux, PostgreSQL, Oracle) to Azure and modernizing them using the 6R strategy, containerization, and Azure-native services like AKS and Azure Arc.
AI Transformation: Explore and implement AI and intelligent agents to accelerate legacy transformation and unlock the full value of Microsoft's cloud for customers.
Hybrid & Cloud-Native Solutions: Design and implement secure, scalable, and resilient hybrid and cloud-native solutions using virtual networks, VPNs, and secure routing architectures to meet enterprise performance and compliance needs.
Partner Solutions: Collaborate with trusted partners like NetApp, VMware, RedHat, and SAP to ensure a secure, optimized, and scalable migration experience.
Security & Compliance: Help customers meet regulatory requirements and build cloud environments ready for the future by leveraging Azure security services and compliance frameworks.

📝 Enhancement Note: This role requires a strong balance of technical depth, customer-facing skills, and strategic thinking to drive cloud migration and AI transformation projects successfully.

💻 Primary Responsibilities

Customer Engagement: Work directly with technical and business stakeholders to understand their needs, design solutions, and implement Azure-based architectures that support AI workloads and business-critical applications.
Solution Architecture: Design and implement secure, scalable, and resilient cloud architectures that meet customers' performance, compliance, and security requirements.
Migration & Modernization: Lead customers through the migration of core workloads to Azure using the 6R strategy (Rehost, Refactor, Rearchitect, Rebuild, Replace, or Retire) and containerization best practices.
AI Integration: Explore and implement AI and intelligent agents to accelerate legacy transformation and unlock the full value of Microsoft's cloud for customers.
Collaboration: Work closely with Microsoft's partner ecosystem to ensure a secure, optimized, and scalable migration experience using trusted partner solutions.
Security & Compliance: Help customers meet regulatory requirements and build cloud environments ready for the future by leveraging Azure security services and compliance frameworks.

📝 Enhancement Note: This role requires a deep understanding of Azure services, networking, and security to design and implement robust, secure, and scalable cloud solutions tailored to customers' needs.

🎓 Skills & Qualifications

Education:

Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)

Experience:

Proven experience (5-10 years) in cloud infrastructure, with a focus on Azure and AI workloads
Demonstrated expertise in migrating core workloads (Windows, SQL Server, Linux, PostgreSQL, Oracle) to Azure
Strong networking knowledge and experience designing hybrid and cloud-native solutions
Solid understanding of Azure security services and compliance frameworks

Required Skills:

Cloud Infrastructure: Proficient in Azure infrastructure, services, and best practices
AI Workloads: Familiarity with AI workloads and the ability to explore and implement AI and intelligent agents
Migration & Modernization: Experience with the 6R strategy, containerization, and Azure-native services like AKS and Azure Arc
Networking: Strong networking knowledge, including virtual networks, VPNs, and secure routing architectures
Security & Compliance: Solid understanding of Azure security services and compliance frameworks
Customer Engagement: Excellent communication and presentation skills, with the ability to engage with technical and business stakeholders effectively

Preferred Skills:

Industry-recognized certifications across Azure infrastructure, security, and AI
Experience with partner solutions like NetApp, VMware, RedHat, and SAP
Familiarity with industry-specific regulatory requirements and compliance frameworks

📝 Enhancement Note: This role requires a unique blend of technical depth, customer-facing skills, and strategic thinking. Candidates with a strong background in cloud infrastructure, AI workloads, and customer engagement are encouraged to apply.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Cloud Migration Projects: Documented case studies demonstrating successful cloud migration projects, including the 6R strategy, containerization, and Azure-native services used
AI Integration Projects: Examples of AI and intelligent agents implementation to accelerate legacy transformation and unlock the full value of Microsoft's cloud
Secure & Compliant Architectures: Design documents showcasing secure, scalable, and resilient cloud architectures that meet customers' performance, compliance, and security requirements
Customer Engagement: Testimonials or success stories highlighting your ability to engage with technical and business stakeholders effectively

Technical Documentation:

Migration & Modernization: Detailed documentation outlining the migration strategy, tools used, and any challenges faced during the migration process
AI Integration: Technical documentation explaining the AI and intelligent agents implementation, including any custom code or configurations developed
Security & Compliance: Documentation demonstrating a solid understanding of Azure security services and compliance frameworks, including any custom security measures implemented
Customer Engagement: Presentation materials or customer success stories showcasing your ability to engage with technical and business stakeholders effectively

📝 Enhancement Note: A strong portfolio will demonstrate a candidate's technical expertise, problem-solving skills, and ability to engage with customers effectively. Be sure to highlight any unique challenges faced and how you overcame them to deliver successful cloud migration and AI transformation projects.

💵 Compensation & Benefits

Salary Range: CHF 120,000 - CHF 160,000 per year (based on experience and location)

Benefits:

Competitive benefits package, including health insurance, retirement plans, and employee stock purchase plan
Generous time off, including vacation, sick leave, and company holidays
Employee discount programs for Microsoft products and services
Opportunities for professional development, including access to Microsoft learning resources and support for earning industry-recognized certifications

Working Hours: Full-time position with standard working hours (Monday - Friday, 9:00 AM - 5:00 PM, with flexibility for project deadlines and maintenance windows)

📝 Enhancement Note: The salary range provided is based on market research and internal benchmarks for this role in Switzerland. Final compensation will be determined based on the candidate's experience, skills, and location.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, with a focus on cloud computing, AI, and productivity software

Company Size: Large (over 180,000 employees worldwide)

Founded: 1975, with a rich history of innovation and growth in the technology industry

Team Structure:

Cloud & AI Solution Engineers: Collaborate with customers, partners, and internal teams to design, implement, and optimize cloud and AI solutions
Cross-functional Teams: Work closely with marketing, sales, and product teams to ensure customer needs are met and solutions are aligned with Microsoft's product roadmap

Development Methodology:

Agile: Microsoft uses Agile methodologies to develop and deliver cloud and AI solutions, with a focus on iterative development, customer feedback, and continuous improvement
Customer-centric: Microsoft prioritizes customer needs and feedback in the development and delivery of cloud and AI solutions
Innovation: Microsoft fosters a culture of innovation, encouraging employees to explore new technologies and approaches to solve customer problems

Company Website: Microsoft Careers

📝 Enhancement Note: Microsoft's culture is centered around empowering every person and every organization on the planet to achieve more. This role offers the opportunity to work with a diverse, global team and make a significant impact on customers' cloud and AI journeys.

📈 Career & Growth Analysis

Cloud & AI Solution Engineer Career Level: This role is typically at the mid-level to senior-level career stage, with a focus on driving cloud migration and AI transformation projects for customers. Responsibilities include designing and implementing secure, scalable, and resilient cloud architectures, engaging with customers, and collaborating with cross-functional teams.

Reporting Structure: This role typically reports to a Cloud & AI Solution Engineering Manager or a similar role, with a matrixed reporting structure to other functional areas like sales, marketing, or product development.

Technical Impact: Cloud & AI Solution Engineers have a significant impact on customers' cloud and AI strategies, helping them unlock the full value of Microsoft's cloud and drive business transformation. They also contribute to Microsoft's product roadmap by providing customer feedback and insights on emerging technologies and trends.

Growth Opportunities:

Technical Specialization: Deepen expertise in specific cloud or AI domains, such as data analytics, machine learning, or IoT, and become a subject matter expert (SME) in that area
Technical Leadership: Develop leadership skills and take on more complex projects or mentoring responsibilities, eventually moving into a technical lead or architect role
Customer & Partner Engagement: Build strong relationships with customers and partners, becoming a trusted advisor and driving strategic initiatives that align with Microsoft's product roadmap

📝 Enhancement Note: This role offers significant growth opportunities for candidates looking to develop their technical expertise, leadership skills, or customer engagement capabilities in the cloud and AI domains.

🌐 Work Environment

Office Type: Microsoft's offices are designed to be collaborative, innovative, and comfortable, with a focus on fostering employee productivity and creativity

Office Location(s): Multiple locations in Switzerland, with flexible work arrangements that may include on-site, hybrid, or remote work options

Workspace Context:

Collaborative Workspaces: Open-plan offices with collaborative workspaces, meeting rooms, and breakout areas designed to facilitate teamwork and innovation
Technology & Tools: Access to the latest hardware, software, and collaboration tools to support productivity and innovation
Employee Amenities: On-site amenities like cafes, gyms, and wellness facilities to support employee well-being and work-life balance

Work Schedule: Full-time position with standard working hours (Monday - Friday, 9:00 AM - 5:00 PM), with flexibility for project deadlines, maintenance windows, and customer needs

📝 Enhancement Note: Microsoft's work environment is designed to be flexible, collaborative, and supportive of employee productivity and innovation. Candidates can expect a modern, well-equipped workspace with access to the latest technology and tools.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief phone call to discuss your background, experience, and fit for the role (15-30 minutes)
Technical Deep Dive: A detailed technical conversation focused on your cloud infrastructure, AI workloads, and migration experience (60-90 minutes)
Customer Engagement Scenario: A role-play exercise simulating customer engagement, where you'll present a cloud migration or AI transformation solution and answer questions from the interview panel (60-90 minutes)
Final Interview: A conversation with the hiring manager or a senior team member to discuss your fit for the role, career aspirations, and any remaining questions (30-45 minutes)

Portfolio Review Tips:

Cloud Migration Projects: Highlight successful cloud migration projects, including the 6R strategy, containerization, and Azure-native services used
AI Integration Projects: Showcase AI and intelligent agents implementation to accelerate legacy transformation and unlock the full value of Microsoft's cloud
Secure & Compliant Architectures: Present design documents showcasing secure, scalable, and resilient cloud architectures that meet customers' performance, compliance, and security requirements
Customer Engagement: Prepare testimonials or success stories highlighting your ability to engage with technical and business stakeholders effectively

Technical Challenge Preparation:

Cloud Infrastructure: Brush up on your Azure infrastructure, services, and best practices knowledge, with a focus on migration, networking, and security
AI Workloads: Familiarize yourself with AI workloads and explore Microsoft's AI platform and services, including Azure Machine Learning, Azure Databricks, and Azure Cognitive Services
Migration & Modernization: Review the 6R strategy, containerization best practices, and Azure-native services like AKS and Azure Arc
Networking: Refresh your knowledge of virtual networks, VPNs, and secure routing architectures, and be prepared to discuss enterprise performance and compliance needs
Security & Compliance: Study Azure security services and compliance frameworks, and be prepared to discuss regulatory requirements and best practices

ATS Keywords: [Azure, Cloud Migration, AI Workloads, 6R Strategy, Containerization, AKS, Azure Arc, Networking, Virtual Networks, VPNs, Security, Compliance, Customer Engagement, Microsoft]

📝 Enhancement Note: The interview process for this role is designed to assess your technical expertise, customer engagement skills, and cultural fit with Microsoft. Be prepared to discuss your cloud infrastructure, AI workloads, and migration experience in detail, and to present a compelling portfolio that demonstrates your ability to deliver successful cloud migration and AI transformation projects.

🛠 Technology Stack & Web Infrastructure

Cloud Infrastructure:

Azure: Proficient in Azure infrastructure, services, and best practices, with a focus on migration, networking, and security
Azure Migrate: Familiarity with Azure Migrate for assessing and migrating on-premises workloads to Azure
Azure Stack: Knowledge of Azure Stack for extending Azure services to on-premises environments

AI Workloads:

Azure Machine Learning: Experience with Azure Machine Learning for building, deploying, and managing AI models
Azure Databricks: Familiarity with Azure Databricks for big data processing and analytics
Azure Cognitive Services: Knowledge of Azure Cognitive Services for adding intelligent features to applications using APIs and SDKs

Migration & Modernization:

6R Strategy: Proficient in the 6R strategy (Rehost, Refactor, Rearchitect, Rebuild, Replace, or Retire) for migrating workloads to Azure
Containerization: Experience with containerization best practices and tools, such as Docker and Kubernetes
AKS: Familiarity with Azure Kubernetes Service (AKS) for deploying and managing containerized applications
Azure Arc: Knowledge of Azure Arc for managing on-premises, multi-cloud, and edge infrastructure using Azure-native control plane

Networking:

Virtual Networks: Proficient in designing and implementing virtual networks in Azure, including subnets, network security groups, and route tables
VPNs: Experience with VPN gateways and site-to-site VPNs for connecting on-premises networks to Azure virtual networks
Secure Routing Architectures: Knowledge of secure routing architectures, including BGP, OSPF, and EIGRP

Security & Compliance:

Azure Security Center: Familiarity with Azure Security Center for unified security management and threat protection
Azure Sentinel: Experience with Azure Sentinel for intelligent security analytics and threat intelligence
Azure Key Vault: Knowledge of Azure Key Vault for securely storing and accessing secrets, keys, and certificates

📝 Enhancement Note: This role requires a strong understanding of Azure infrastructure, services, and best practices, with a focus on migration, networking, and security. Candidates should be proficient in Azure and have experience with relevant tools and services, such as Azure Migrate, Azure Stack, Azure Machine Learning, and Azure Cognitive Services.

👥 Team Culture & Values

Microsoft Values:

Customer Obsessed: We put customers first, understanding their needs and exceeding their expectations
One Microsoft: We collaborate and work together as one team, across boundaries and functions, to achieve our goals
One Microsoft: We respect and value our customers, partners, and employees, and strive to be inclusive and diverse
One Microsoft: We are accountable and responsible for our success, and take ownership of our work and results
Innovation: We foster a growth mindset and embrace continuous learning and improvement
Inclusion & Diversity: We foster an inclusive culture and celebrate the diverse backgrounds and perspectives of our employees
Customer Obsessed: We put customers first, understanding their needs and exceeding their expectations

Microsoft's Approach to Diversity, Equity, & Inclusion:

Microsoft is committed to fostering a diverse, inclusive, and equitable work environment where all employees feel valued, respected, and empowered to succeed
Microsoft offers a range of employee resource groups (ERGs) and diversity, equity, and inclusion (DEI) initiatives to support employees from various backgrounds and communities
Microsoft is committed to providing equal opportunities for all employees, regardless of their race, color, gender, age, religion, national origin, ancestry, citizenship, disability, veteran status, or any other protected characteristic

Microsoft's Approach to Sustainability:

Microsoft is committed to sustainability and has set ambitious goals to be carbon negative by 2030 and water positive by 2030
Microsoft is focused on reducing its environmental impact and promoting sustainable business practices across its operations and supply chain

📝 Enhancement Note: Microsoft's culture is centered around customer obsession, innovation, and inclusion. The company fosters a growth mindset, encourages continuous learning and improvement, and is committed to promoting diversity, equity, and inclusion in the workplace. Candidates can expect a collaborative, innovative, and inclusive work environment that values their contributions and supports their professional growth.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Cloud Migration: Design and implement secure, scalable, and resilient cloud architectures that meet customers' performance, compliance, and security requirements
AI Integration: Explore and implement AI and intelligent agents to accelerate legacy transformation and unlock the full value of Microsoft's cloud for customers
Networking: Design and implement hybrid and cloud-native solutions using virtual networks, VPNs, and secure routing architectures that meet enterprise performance and compliance needs
Security & Compliance: Help customers meet regulatory requirements and build cloud environments ready for the future by leveraging Azure security services and compliance frameworks

Learning & Development Opportunities:

Technical Skills: Develop your technical expertise in cloud infrastructure, AI workloads, and emerging technologies through access to Microsoft learning resources and support for earning industry-recognized certifications
Customer Engagement: Enhance your customer engagement skills through training, coaching, and on-the-job experience, becoming a trusted advisor and driving strategic initiatives that align with Microsoft's product roadmap
Leadership Development: Develop your leadership skills through mentoring, coaching, and participation in leadership development programs, eventually moving into a technical lead or architect role

📝 Enhancement Note: This role offers significant technical and professional growth opportunities for candidates looking to develop their expertise in cloud infrastructure, AI workloads, and emerging technologies. Candidates can expect to work on complex, high-impact projects and have the opportunity to drive strategic initiatives that align with Microsoft's product roadmap.

💡 Interview Preparation

Technical Questions:

Cloud Infrastructure: Be prepared to discuss your Azure infrastructure, services, and best practices knowledge, with a focus on migration, networking, and security
AI Workloads: Brush up on your knowledge of AI workloads and Microsoft's AI platform and services, including Azure Machine Learning, Azure Databricks, and Azure Cognitive Services
Migration & Modernization: Review the 6R strategy, containerization best practices, and Azure-native services like AKS and Azure Arc
Networking: Refresh your knowledge of virtual networks, VPNs, and secure routing architectures, and be prepared to discuss enterprise performance and compliance needs
Security & Compliance: Study Azure security services and compliance frameworks, and be prepared to discuss regulatory requirements and best practices

Company & Culture Questions:

Microsoft's Culture: Familiarize yourself with Microsoft's values, approach to diversity, equity, and inclusion, and commitment to sustainability
Microsoft's Products & Services: Brush up on your knowledge of Microsoft's cloud and AI products and services, and be prepared to discuss their features, benefits, and use cases
Microsoft's Customers: Understand Microsoft's customer base and be prepared to discuss the unique needs, challenges, and opportunities of different customer segments

Portfolio Presentation Strategy:

Cloud Migration Projects: Highlight successful cloud migration projects, including the 6R strategy, containerization, and Azure-native services used
AI Integration Projects: Showcase AI and intelligent agents implementation to accelerate legacy transformation and unlock the full value of Microsoft's cloud
Secure & Compliant Architectures: Present design documents showcasing secure, scalable, and resilient cloud architectures that meet customers' performance, compliance, and security requirements
Customer Engagement: Prepare testimonials or success stories highlighting your ability to engage with technical and business stakeholders effectively

📝 Enhancement Note: The interview process for this role is designed to assess your technical expertise, customer engagement skills, and cultural fit with Microsoft. Be prepared to discuss your cloud infrastructure, AI workloads, and migration experience in detail, and to present a compelling portfolio that demonstrates your ability to deliver successful cloud migration and AI transformation projects.

📌 Application Steps

To apply for this Solution Engineer - Cloud & AI Infrastructure position at Microsoft:

Tailor Your Resume: Highlight your cloud infrastructure, AI workloads, and migration experience, and emphasize your customer engagement skills and technical expertise
Prepare Your Portfolio: Showcase your successful cloud migration projects, AI integration projects, and secure, compliant architectures, and include testimonials or success stories that highlight your customer engagement skills
Research Microsoft: Familiarize yourself with Microsoft's products, services, customers, and culture, and be prepared to discuss how your skills and experience align with the company's mission and values
Practice Technical Interview Questions: Brush up on your Azure infrastructure, services, and best practices knowledge, and review the 6R strategy, containerization best practices, and Azure-native services like AKS and Azure Arc
Prepare for Customer Engagement Scenario: Practice presenting a cloud migration or AI transformation solution and be prepared to answer questions from the interview panel

⚠️ 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.

Solution Engineer Cloud & AI Infrastructure