Cloud & AI Solution Engineer – Azure Platform

Microsoft
Full_time

📍 Job Overview

  • Job Title: Cloud & AI Solution Engineer – Azure Platform
  • Company: Microsoft
  • Location: Taipei, Taiwan
  • Job Type: Full-Time
  • Category: Cloud & AI Solution Engineer
  • Date Posted: June 21, 2025
  • Experience Level: Mid-Senior level (2-5 years of experience)
  • Remote Status: Remote OK

🚀 Role Summary

  • Key Responsibilities: Help customers design secure, scalable, and resilient cloud architectures that support their modernization goals. Collaborate across teams to deliver impactful solutions that enhance agility, reduce costs, and unlock value through AI-powered infrastructure.
  • Key Technologies: Azure Platform, IaaS, PaaS, Migration, Modernization, Optimization, Networking, Hybrid Solutions, Containerization, Security, SQL Server, Linux, PostgreSQL, Oracle

💻 Primary Responsibilities

  • 1. Cloud Architecture Design: Design and implement secure, scalable, and resilient architectures that support AI workloads and business-critical applications on the Azure Platform.
  • 2. Customer Collaboration: Work directly with technical and business stakeholders to understand their infrastructure needs and provide tailored cloud solutions.
  • 3. Migration & Modernization: Lead customers through migration, modernization, optimization, and innovation using the 6R strategy, containerization best practices, and Azure-native services like AKS and Azure Arc.
  • 4. Networking Solutions: Apply strong networking knowledge to design hybrid and cloud-native solutions, including virtual networks, VPNs, and secure routing architectures that meet enterprise performance and compliance needs.
  • 5. Partner Collaboration: Work with trusted partners like NetApp, VMware, RedHat, and SAP to ensure a secure, optimized, and scalable migration experience.

🎓 Skills & Qualifications

Education: A bachelor's degree in Computer Science, Engineering, or a related field.

Experience: 2-5 years of experience in cloud architecture, infrastructure, or a related field.

Required Skills:

  • Proven expertise in migrating core workloads to Azure, including Windows, SQL Server, Linux, PostgreSQL, and Oracle.
  • Strong knowledge of Azure IaaS and PaaS services.
  • Solid understanding of networking principles and cloud security best practices.
  • Experience with containerization, hybrid cloud solutions, and AI-powered infrastructure.
  • Excellent communication and collaboration skills.

Preferred Skills:

  • Experience with Azure Arc and other Azure-native services.
  • Familiarity with industry-recognized certifications across Azure infrastructure, security, and AI.
  • Knowledge of AI and intelligent agents for accelerating legacy transformation.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

  • A portfolio showcasing successful cloud migration and modernization projects, highlighting your expertise in Azure IaaS and PaaS services.
  • Case studies demonstrating your ability to design secure, scalable, and resilient cloud architectures.
  • Examples of your collaboration with partners like NetApp, VMware, RedHat, and SAP.

Technical Documentation:

  • Detailed documentation of your cloud architecture designs, including network diagrams, security measures, and performance optimization strategies.
  • Code samples or scripts demonstrating your proficiency in Azure infrastructure management and automation.
  • Test results and performance metrics for your cloud projects, showcasing your ability to optimize and improve infrastructure performance.

💵 Compensation & Benefits

Salary Range: The salary range for this role is approximately NT$ 2,500,000 - 3,500,000 per year (USD 85,000 - 120,000 per year), depending on experience and location. This estimate is based on regional market data and may vary.

Benefits:

  • Comprehensive health insurance and retirement plans.
  • Generous vacation and time-off policies.
  • Employee stock purchase plan and other equity compensation options.
  • Access to Microsoft's learning resources and certifications.
  • Opportunities for professional development and career growth.

Working Hours: Full-time position with a standard 40-hour workweek. Flexible hours and remote work arrangements may be available.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology

Company Size: Large (over 10,000 employees)

Founded: 1975

Team Structure:

  • The team consists of experienced cloud architects, solution engineers, and technical specialists focused on delivering Azure Platform solutions.
  • The team works closely with cross-functional teams, including sales, marketing, and product development, to ensure customer success.

Development Methodology:

  • The team follows Agile methodologies, with a focus on continuous integration, delivery, and improvement.
  • They use Azure DevOps for project management, version control, and automated deployment.
  • Collaboration and knowledge sharing are encouraged, with regular team meetings and technical workshops.

Company Website: Microsoft

📈 Career & Growth Analysis

Web Technology Career Level: Mid-Senior level (2-5 years of experience) with a focus on cloud architecture, infrastructure, and AI solutions.

Reporting Structure: The role reports directly to the Azure Platform team lead, with a matrix reporting structure to relevant cross-functional teams.

Technical Impact: The role has a significant impact on customer cloud strategies, driving modernization, optimization, and innovation through Azure Platform solutions.

Growth Opportunities:

  • 1. Technical Expertise Development: Gain experience working with cutting-edge Azure services and emerging AI technologies, with opportunities to earn industry-recognized certifications.
  • 2. Leadership Development: Develop leadership skills through mentoring junior team members and collaborating with cross-functional teams to drive customer success.
  • 3. Architecture & Design: Contribute to the design and implementation of Azure Platform architecture best practices, influencing the broader Microsoft ecosystem.

🌐 Work Environment

Office Type: Modern, collaborative office spaces with a focus on employee comfort and productivity.

Office Location(s): Taipei, Taiwan, with remote work arrangements available.

Workspace Context:

  • Modern, well-equipped workspaces with multiple monitors and testing devices available.
  • Collaborative workspaces with dedicated team areas and shared resources.
  • Access to Microsoft's learning resources and online collaboration tools for remote work.

Work Schedule: Flexible work schedule with core hours and remote work arrangements available. The team prioritizes work-life balance and supports flexible working arrangements.

📄 Application & Technical Interview Process

Interview Process:

  • 1. Phone Screen: A brief phone call to discuss your experience, skills, and career goals.
  • 2. Technical Deep Dive: A detailed technical discussion focusing on your cloud architecture design, migration, and modernization experience.
  • 3. Customer Case Study: Present a customer case study demonstrating your ability to deliver impactful cloud solutions that enhance agility, reduce costs, and unlock value through AI-powered infrastructure.
  • 4. Final Evaluation: A final evaluation based on your technical skills, cultural fit, and alignment with the team's goals and objectives.

Portfolio Review Tips:

  • Highlight your most impactful cloud migration and modernization projects, demonstrating your expertise in Azure IaaS and PaaS services.
  • Include case studies that showcase your ability to design secure, scalable, and resilient cloud architectures.
  • Emphasize your collaboration with partners like NetApp, VMware, RedHat, and SAP, and the positive outcomes achieved for customers.

Technical Challenge Preparation:

  • Brush up on your knowledge of Azure IaaS and PaaS services, with a focus on migration, modernization, and optimization strategies.
  • Familiarize yourself with Azure Arc and other Azure-native services, as well as industry-recognized certifications across Azure infrastructure, security, and AI.
  • Prepare for networking-related questions, focusing on hybrid and cloud-native solutions, virtual networks, VPNs, and secure routing architectures.

📌 Application Steps

To apply for this Cloud & AI Solution Engineer – Azure Platform position:

  1. Submit your application through the Microsoft careers website.
  2. Tailor your resume to highlight your cloud architecture, infrastructure, and AI solutions experience, with a focus on Azure Platform projects.
  3. Prepare a portfolio showcasing your most impactful cloud migration and modernization projects, demonstrating your expertise in Azure IaaS and PaaS services.
  4. Research Microsoft's cloud strategy and Azure Platform offerings to ensure a strong understanding of the company's goals and objectives.
  5. Prepare for the technical interview process by brushing up on your Azure Platform knowledge and practicing customer case study presentations.

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

Application Requirements

Deep expertise in migrating core workloads to Azure is required. Knowledge of networking to design hybrid and cloud-native solutions is also essential.