The Job

Microsoft Sr consultant

Technology, Data & Digital · IT Infrastructure & Security · Cloud Engineering · DevOps · Software Engineering

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In short

Microsoft is seeking a Senior Consultant to join their Global Center for Innovation and Delivery. This role involves designing, building, and optimizing end-to-end cloud and on-premises infrastructure solutions, focusing on secure, scalable, and high-performing environments. The ideal candidate will leverage technical expertise, creativity, and customer focus to deliver value and accelerate the adoption of Microsoft technologies.

Responsibilities

  • Design, build, and optimize end-to-end cloud and on-premises infrastructure solutions, ensuring secure, scalable, and high-performing environments.
  • Provide technical quality assurance, identifying and mitigating technical risks in customer deliverables.
  • Develop solutions based on analysis of how proposed approaches affect customer and partner business objectives.
  • Apply information-compliance and assurance policies to ensure stakeholder confidence.
  • Identify new processes and innovations to help customers or partners build and accelerate capabilities using Microsoft technologies.
  • Define best practice approaches for projects across a wide scope of technical issues.
  • Reuse intellectual capital with customers and across Microsoft programs and initiatives.
  • Define engagements and opportunities to use Intellectual Property (IP) and address product gaps, leveraging existing IP and community resources.

Requirements

  • 9-13 years of industry experience with a minimum of 9+ years of Azure Infrastructure experience.
  • Mandatory Microsoft Azure Administrator certification (AZ104); Azure Solutions Architect Expert (AZ305) highly preferred.
  • Terraform Associate certification strongly valued, with proven experience in Infrastructure as Code (IaC) automation.
  • Cloud AI certification such as Microsoft Azure AI Fundamentals (AI-900) or equivalent is a strong advantage.
  • Proficiency in Python for automation, AI integration, and scripting across infra workflows.
  • Experience with Azure AI Services (AI Foundry, AI Agent services, Azure AI Search, Vision, Speech, Translation).
  • Understanding of containerized AI workloads with strong hands-on expertise in AI Developer Tools from Microsoft (Visual Studio, GitHub Copilot, Azure AI Studio, Azure AI Foundry or similar).
  • Ability to integrate OpenAI/Frontier models into cloud environments with secure and scalable infrastructure patterns.
  • Strong working knowledge of Microsoft’s Cloud Adoption Framework (CAF).
  • Proven experience in designing, implementing, and deploying Azure Landing Zones.
  • Hands-on experience with Azure IaaS and PaaS services across compute, storage, and networking.
  • Expertise in deploying business mission-critical applications on Azure.
  • In-depth knowledge of Azure networking components including VNet, ExpressRoute, vWAN, ingress/egress patterns, and Network Virtual Appliances (NVAs).
  • Proficiency in Azure DevOps, including YAML-based pipeline configuration.
  • Experience with at least one CI/CD platform: GitHub, GitLab, or Jenkins.
  • Strong automation skills using ARM templates, Bicep, Terraform, PowerShell, and Azure CLI.
  • Experience deploying infrastructure using a modular, reusable approach.
  • Multi-Cloud Migration experience. Hands-on experience in AWS or GCP to Azure migration.
  • Experience with large-scale cloud migration projects using tools like Azure Migrate.
  • Familiarity with all stages of the migration lifecycle, including assessment, planning, execution, and optimization.
  • Experience with container migration and modernization initiatives.
  • Strong command of network segmentation, NSGs, Azure Firewall, Private Link, VPN/ExpressRoute security, and Zero Trust networking.
  • Implement secure connectivity and encrypted network flows across hybrid and cloud environments.
  • Implement Azure Policy, Blueprints, governance guardrails, and secure by design patterns.
  • Experience in meeting compliance standards and performing cloud security assessments.
  • Deploy secure landing zones following CAF & WAF principles ensuring governance, resiliency, and secure adoption paths.
  • Ensuring alignment with industry frameworks like Zero Trust principles.
  • Demonstrated success in delivering customer-facing projects in large-scale enterprise environments.
  • Experience conducting technical workshops, envisioning sessions, and solution design engagements.
  • Experience working in Agile/Scrum environments.

Desired Qualifications

  • Bachelor’s degree in computer science, Engineering, or equivalent professional experience; advanced technical certifications or higher education preferred.
  • Cloud AI certification such as Microsoft Azure AI Fundamentals (AI‑900) or equivalent is a strong advantage, with practical understanding of AI/ML workloads on cloud platforms.
  • Experience across both application architecture and cloud infrastructure domains, with the ability to bridge development and operations teams effectively.
  • Strong interest in continuous learning and technical certifications.
  • Curiosity to explore emerging data and AI technologies.
  • Willingness to receive feedback, grow technical depth, and expand ownership over time.
  • Exposure to multiple industries and sectors, with the ability to tailor solutions to diverse business needs.
  • Strong communication and presentation skills with the ability to engage both technical and non-technical stakeholders.
  • Passion for mentoring, knowledge sharing, and continuous learning.
  • Proven adaptability to new technologies and evolving customer requirements.
#Technology Consulting#Infrastructure#Cloud#Azure#DevOps#AI#Automation#Security#Networking
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Company

Microsoft

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

Hybrid

Experience Level

Senior

Qualification

Bachelor, Undergraduate

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