Solution Engineer - Cloud & AI - Infrastructure

Microsoft
Full_time•Doha, Qatar

📍 Job Overview

  • Job Title: Solution Engineer - Cloud & AI - Infrastructure
  • Company: Microsoft
  • Location: Doha, Ad Dawḩah, Qatar
  • Job Type: Full-Time
  • Category: Infrastructure
  • Date Posted: 2025-06-13T13:56:00

🚀 Role Summary

  • Cloud & AI Solution Engineer focused on the Azure platform for mid-market customers at Microsoft.
  • Collaborate across teams to deliver impactful solutions that enhance agility, reduce costs, and unlock value through AI-powered infrastructure.
  • Work directly with technical and business stakeholders to design and implement secure, scalable, and resilient architectures that support AI workloads and business-critical applications.

💻 Primary Responsibilities

  • Cloud Architecture Design: Help customers design secure, scalable, and resilient cloud architectures that support their modernization goals.
  • AI-Powered Infrastructure: Explore how AI and intelligent agents can accelerate legacy transformation and build AI-powered solutions.
  • Hybrid and Cloud-Native Solutions: Apply strong networking knowledge to design hybrid and cloud-native solutions, including virtual networks, VPNs, and secure routing architectures.
  • Trusted Partner Solutions: Ensure a secure, optimized, and scalable migration experience by leveraging trusted partner solutions like NetApp, VMware, RedHat, and SAP.
  • Customer Collaboration: Work closely with customers to understand their needs, provide technical guidance, and ensure successful project delivery.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant certifications are a plus.

Experience: Proven experience (2-5 years) in cloud architecture, infrastructure, and AI.

Required Skills:

  • Cloud & AI Expertise: Deep understanding of cloud architecture, AI, and Azure platform.
  • Infrastructure & Migration: Strong expertise in migrating core workloads, including Windows, SQL Server, Linux, PostgreSQL, and Oracle, to Azure.
  • Networking & Security: Solid networking knowledge and understanding of Azure security services and compliance frameworks.
  • Collaboration & Communication: Excellent communication and collaboration skills to work effectively with customers and cross-functional teams.

Preferred Skills:

  • Emerging Technologies: Familiarity with emerging technologies and trends in cloud infrastructure and AI.
  • Industry Certifications: Relevant industry certifications across Azure infrastructure, security, and AI.
  • Language Skills: Fluency in English and local language(s) can be an asset.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

  • Cloud Architecture Projects: Showcase projects demonstrating your ability to design and implement secure, scalable, and resilient cloud architectures.
  • AI-Powered Solutions: Highlight projects that leverage AI to accelerate legacy transformation or build innovative solutions.
  • Customer Success Stories: Include customer testimonials or case studies that demonstrate the impact of your work on their business outcomes.

Technical Documentation:

  • Code Quality & Documentation: Demonstrate adherence to coding standards, best practices, and thorough documentation.
  • Deployment Processes: Showcase your understanding of deployment processes, version control, and server configuration.
  • Testing & Performance: Highlight your proficiency in testing methodologies, performance metrics, and optimization techniques.

💵 Compensation & Benefits

Salary Range: The salary range for this role in Doha, Qatar, is approximately QAR 25,000 - 40,000 per month, depending on experience and qualifications.

Benefits:

  • Health & Wellness: Comprehensive health, dental, and vision coverage.
  • Retirement Savings: 401(k) or similar retirement savings plans with company match.
  • Time Off: Generous vacation, sick leave, and parental leave policies.
  • Professional Development: Access to learning resources, training, and certification opportunities.
  • Work-Life Balance: Flexible work arrangements, including remote work options.

Working Hours: Full-time position with standard working hours, including project deadline flexibility and maintenance window details.

🎯 Team & Company Context

🏢 Company Culture

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

Company Size: Large, with over 180,000 employees worldwide.

Founded: 1975, in Redmond, Washington, USA.

Team Structure:

  • Cloud & AI Solution Engineering Team: Works closely with sales, marketing, and technical teams to deliver customer solutions.
  • Azure Platform: Collaborates with Azure engineering teams to ensure customer needs are represented in platform development.
  • Cross-Functional Collaboration: Works with various teams, including product, design, and operations, to deliver end-to-end customer solutions.

Development Methodology:

  • Agile/Scrum: Utilizes Agile methodologies and sprint planning for project delivery.
  • Code Review & Testing: Emphasizes code review, testing, and quality assurance practices.
  • Deployment Strategies: Implements deployment strategies, CI/CD pipelines, and server management best practices.

Company Website: Microsoft Careers

📈 Career & Growth Analysis

Web Technology Career Level: Mid-career level, with opportunities for growth into senior roles, technical leadership, or specialized areas within cloud and AI.

Reporting Structure: Reports directly to the Cloud & AI Solution Engineering manager, with a matrix reporting line to the customer's technical account manager.

Technical Impact: Designs and implements cloud architectures that support AI workloads and business-critical applications, driving customer success and business growth.

Growth Opportunities:

  • Technical Progression: Develop expertise in emerging cloud technologies, AI, and Azure platform updates.
  • Leadership Development: Build leadership skills through mentoring, team management, and architecture decision-making.
  • Specialization Tracks: Explore specialized areas within cloud and AI, such as data science, AI engineering, or cloud security.

🌐 Work Environment

Office Type: Modern, collaborative workspaces with a focus on employee well-being and productivity.

Office Location(s): Multiple offices worldwide, with remote work options available.

Workspace Context:

  • Collaborative Workspaces: Encourage cross-functional collaboration and knowledge sharing.
  • Development Tools: Provide access to industry-standard development tools, multiple monitors, and testing devices.
  • Work-Life Balance: Foster a work-life balance with flexible hours, on-site amenities, and remote work options.

Work Schedule: Standard working hours with flexibility for deployment windows, maintenance, and project deadlines.

📄 Application & Technical Interview Process

Interview Process:

  1. Phone Screen: A brief phone or video call to assess communication skills and cultural fit.
  2. Technical Deep Dive: A detailed technical conversation focusing on cloud architecture, AI, and Azure platform expertise.
  3. Customer Simulation: A role-play exercise simulating customer interactions and solution design.
  4. Final Evaluation: A discussion with senior leadership to assess cultural fit, career growth, and overall qualifications.

Portfolio Review Tips:

  • Cloud Architecture Focus: Highlight projects that demonstrate your ability to design and implement secure, scalable, and resilient cloud architectures.
  • AI-Powered Solutions: Showcase projects that leverage AI to accelerate legacy transformation or build innovative solutions.
  • Customer Success Stories: Include customer testimonials or case studies that demonstrate the impact of your work on their business outcomes.

Technical Challenge Preparation:

  • Cloud Architecture Scenarios: Practice designing cloud architectures for various workloads and customer scenarios.
  • AI & Machine Learning: Brush up on AI and machine learning concepts relevant to cloud infrastructure and customer solutions.
  • Azure Platform Proficiency: Familiarize yourself with the latest Azure platform updates, services, and best practices.

ATS Keywords: [Comprehensive list of web development and server administration-relevant keywords for resume optimization, organized by category: programming languages, web frameworks, server technologies, databases, tools, methodologies, soft skills, industry terms]

📌 Application Steps

To apply for this cloud and AI infrastructure solution engineer position at Microsoft:

  1. Customize Your Resume: Highlight your cloud architecture, AI, and Azure platform expertise, as well as your relevant experience and skills.
  2. Tailor Your Cover Letter: Explain your interest in the role and how your background and skills make you a strong fit for the position.
  3. Prepare for Technical Interviews: Brush up on your cloud architecture, AI, and Azure platform knowledge, and practice common interview questions and scenarios.
  4. Research the Company: Familiarize yourself with Microsoft's mission, values, and company culture to ensure a strong fit and demonstrate your enthusiasm for the role.

⚠️ 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 essential. Strong networking knowledge to design hybrid and cloud-native solutions is also required.