Consultant - R01555223

Key Responsibilities
Azure Platform Engineering & Optimization
Analyze and optimize Azure lab environments for performance, scalability, and responsiveness
Identify and resolve bottlenecks across Azure infrastructure and platform services
Continuously improve system performance through periodic reviews and enhancements
Azure Data, AI & Application Services Management
Work across Azure Data & AI services such as Synapse, Databricks, and Azure Machine Learning
Support Digital App Innovation using Azure App Service and Kubernetes Service
Manage Biz Apps platforms including Power Platform and Dynamics 365 integration
Identity, Security & Infrastructure Administration
Manage Azure Entra  (IAM) including access control and identity governance
Support Azure Security services such as Defender for Cloud and Sentinel
Administer Azure infrastructure services including compute, storage, and networking
Quality Assurance & Validation
Conduct end-to-end testing and validation of lab procedures from a user perspective
Identify errors, bugs, and inconsistencies in lab workflows and documentation
Ensure high-quality, reliable, and consistent user experience
Documentation & Content Management
Update technical documentation and lab instructions to reflect latest Azure releases
Ensure clarity, accuracy, and consistency across all learning and lab materials
Maintain visual aids such as screenshots and diagrams for usability
Collaboration & Stakeholder Engagement
Work closely with SMEs, TPMs, and cross-functional teams to align updates
Incorporate feedback from stakeholders and end-users into lab improvements
Coordinate updates across multiple Azure domains and solution areas
Continuous Improvement & Innovation
Proactively enhance lab content based on product updates and user feedback
Implement best practices in QA, documentation, and cloud engineering workflows
Ensure lab environments remain up-to-date and aligned with Azure roadmap