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Microsoft Industry Solution - Global Center Innovation and Delivery Center (GCID) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 1000+ exceptional people, GCID presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The Principal Consultant is a senior leader responsible for the successful technical execution and delivery of complex client projects across diverse domains. This role acts as a strategic anchor between clients, architects, delivery managers, project managers, and delivery teams. In the AI-first GCID org, Principal Consultants are expected to embed AI-native thinking into delivery models, ensuring solutions are intelligent, scalable, and aligned with business outcomes. The ideal candidate is passionate about technology, demonstrates breadth of expertise, and advocates for solutions that deliver true client value. As a full Stack Infrastructure Consultant, design, build, and optimize end-to-end cloud and on-premises infrastructure solutions, ensuring secure, scalable, and high performing environments across the entire technology stack.
Job Responsibility:
AI-First Delivery Leadership: Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable
Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes
Drive engineering excellence through reusable components, accelerators, and scalable architecture
Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements
Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches
Act as a technical point of contact for clients, translating business requirements into scalable technical solutions
Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes
Ability to step into at risk projects, quickly assess issues, and establish a credible path to recovery or exit
Engineering Excellence: Champion high-quality engineering practices across all delivery engagements
Ensure adherence to coding standards, architectural integrity, and performance benchmarks
Promote secure coding, test-driven development, and observability as default practices
Encourage continuous learning and technical certifications to maintain cutting-edge expertise
Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions
Foster a culture of technical rigor, innovation, and accountability within the team
Innovation & Thought Leadership: Monitor and evaluate emerging technologies to inform strategic direction
Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact
Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement
Client Engagement & Solutioning: Use design thinking to shape user centric solutions, aligning business goals, architecture decisions, and delivery execution
Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle
Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals
Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery
Team Management & Mentorship: Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence
Conduct reviews, provide feedback, and support professional development of team members
Quality & Compliance: Ensure secure, compliant, and reliable solution delivery through secure coding, testdriven development, observability, design reviews, and quality gates across all engagements
Strategic Partnering: Serve as a strategic partner for internal and external stakeholders on key initiatives
Provide strategic guidance and execution oversight to ensure alignment with organizational goals
Requirements:
Bachelor’s degree in computer science, Engineering, or related field AND 3+ years leadership experience in relevant area of business. Higher Education Preferred
OR master’s degree in computer science, Information Technology, Engineering, or related field AND 6+ years’ experience in technology solutions, practice development, architecture, consulting, and/or Cloud Infrastructure domain
Highly proficient & solid Customer facing Project experience involving solution design, project envisioning, planning, development, and deployment of complex solutions with minimum of 10 plus years
Must have a proven record of delivering technical solutions
2+ years managing multiple projects or portfolios
1+ year(s) experience leading blended, multidisciplinary teams
Preferred Qualifications: Overall minimum 20+ Year of industry experience
Technical or Professional Certification in Cloud Infrastructure domain
Open to travel domestically and internationally and work with different cultures and customers
Technical certifications based on domain/service line (e.g., Azure, Security, Dynamics)
AI First Infrastructure Skills: 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,) leveraged as infrastructure components for applications
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 third-party
Ability to integrate OpenAI/Frontier models into cloud environments with secure and scalable infrastructure patterns (from applied AI delivery examples)
Leading Deployment of Complex Multi‑Cloud Solutions (Azure, AWS, GCP): Architect and deliver enterprise‑grade deployments across Azure, AWS, and GCP with a focus on scalability, security, and performance
Lead cross‑functional engineering teams to design integrated hybrid/multi‑cloud architectures supporting diverse workload patterns
Establish governance, cost controls, and compliance guardrails across multi‑cloud environments to ensure operational consistency
Azure Architecture for High Availability (HA) and Disaster Recovery (DR): Design and implement resilient Azure infrastructures leveraging availability zones, regions, and geo‑redundant services
Build robust HA/DR frameworks aligned to RTO/RPO requirements to ensure seamless business continuity
Implement automated failover, health monitoring, and recovery processes for mission‑critical workloads
Azure Landing Zone Design & Advanced Networking: Lead design and deployment of Azure Landing Zones aligned with Microsoft’s Cloud Adoption Framework and enterprise governance
Implement advanced networking solutions such as ExpressRoute, Azure Firewall, and secure connectivity patterns
DevOps, Platform & Developer Productivity: Strong expertise in designing and operating CI/CD pipelines using Azure DevOps and GitHub Actions, enabling automated build, test, security scanning, and deployment workflows across environments
Proven handson experience with InfrastructureasCode (IaC) using Bicep, ARM, and Terraform, leveraging GitHub Copilot to scaffold modules, generate templates, and propose secure configurations aligned with enterprise standards
Deep understanding of observability and reliability engineering, including centralized logging, metrics, distributed tracing, SLOs, and proactive alerting for production systems
Demonstrated ability to enhance developer productivity and delivery velocity through innersource practices, reusable components, reference implementations, accelerators, and automation
Experience embedding DevSecOps practices into delivery pipelines, including secure coding checks, dependency scanning, secrets management, policy enforcement, and compliance validation
Effective use of GitHub Copilot across the DevOps lifecycle, including authoring pipeline definitions, generating runbooks and release notes, assisting with PR summaries, and accelerating troubleshooting and incident response
Strong grasp of platform engineering principles, building pavedroad solutions and selfservice capabilities that balance speed, governance, and operational excellence
Ability to continuously improve engineering throughput, quality, and system reliability, while maintaining enterprise security and compliance expectations
Container Security Principles & Cloud Platform Design: Apply container security best practices including image scanning, secrets management, RBAC, and runtime compliance controls
Architect secure containerized environments aligned to cloud design principles and Zero Trust foundations
Ensure governance, policy enforcement, and continuous compliance across containerized workloads
Large‑Scale Cloud Migrations & Azure Monitoring/Security Best Practices: Strong working knowledge of Microsoft’s Cloud Adoption Framework (CAF)
Lead multi‑phase migration programs from discovery and assessment to execution, optimization, and steady-state operations
Implement Azure Monitor, Log Analytics, Sentinel, and Defender tools for comprehensive observability and security
Enforce governance, compliance, and operational best practices throughout migration and post‑migration phases
Azure Kubernetes Service (AKS) & Container Technologies: Architect and manage enterprise‑grade AKS clusters with strong focus on scalability, networking, and access controls
Optimize workload orchestration, autoscaling, cluster governance, and integration with DevOps toolchains
Implement container orchestration best practices for secure, resilient, and high‑performing microservices deployments
Implement CI/CD‑driven infrastructure pipelines ensuring consistent, version‑controlled, and auditable deployments
Drive automation‑first engineering practices to reduce manual effort, strengthen governance, and accelerate cloud adoption
Solutioning, Pre-Sales & Technical Leadership: Lead technical solutioning, estimations, and support architecture design during pre-sales and delivery shaping
Translate business outcomes into clear architecture, execution plans, and risk mitigation strategies
Influence technical direction across multiple teams and engagements
Act as a trusted advisor to clients and internal leadership
Strong troubleshooting and production support expertise, including performance, reliability, and security issues
Sidebyside coding with customer engineering teams to unblock deployments and accelerate time to value
Outcome driven engineering focused on business impact, not activity
Building reusable assets, accelerators, and reference implementations
Comfortable operating in ambiguous, high-pressure environments with senior customer stakeholders
Certifications: Two or more of the following certifications: Microsoft Certified: Azure Solutions Architect Expert (AZ305)
Microsoft Certified: Azure Developer Associate (AZ204)
Microsoft Certified: Azure AI Engineer Associate (AI102)
GitHub Certified: GitHub Copilot Professional (GHCP / GH300)
Microsoft Certified: Security, Compliance, and Identity Fundamentals (SC900)
Microsoft Certified: DevOps Engineer Expert (AZ400)
Microsoft Certified: Azure Administrator Associate (AZ104)
Certified Kubernetes Application Developer (CKAD)
Microsoft Certified: Azure Data Fundamentals (DP900)
Personal Attributes: Passion for technology and innovation
Ability to interact confidently with senior leaders and clients
Strong decision-making skills and a consultative mindset
Flexibility to manage in a fast-moving, ambiguous consulting environment
Commitment to continuous learning and professional growth
Other: Embody our culture and values
Nice to have:
Overall minimum 20+ Year of industry experience
Technical or Professional Certification in Cloud Infrastructure domain
Open to travel domestically and internationally and work with different cultures and customers
Technical certifications based on domain/service line (e.g., Azure, Security, Dynamics)