Azure Stack HCI - job 1 of 2

An Azure Stack HCI Specialist at our company is primarily responsible for incident management, serving as a third-line resolver for support tickets. This role involves automation of service delivery, operational documentation, escalation management, and leading knowledge management initiatives.

To qualify for the Azure Stack HCI Specialist position, candidates should have at least 6 years of experience in IT infrastructure with a minimum of 4 years in Azure public cloud and at least 1 year of experience in Azure Stack HCI. Familiarity with Microsoft Azure architecture skills and networking is also required.

As an Azure Stack HCI Specialist, you'll engage in a variety of projects focused on project delivery, proof-of-concept development, and infrastructure solutions that encompass design, architecture, and deployment. Your work will also include troubleshooting Azure environments and implementing automated solutions.

The Azure Stack HCI Specialist supports operational excellence through service delivery automation, ensuring that common issues are resolved efficiently. The role includes documentation of operational procedures, escalation of technical issues, and fostering knowledge sharing among peers to enhance overall service quality.

Essential skills include strong troubleshooting capabilities in Azure infrastructure and networking, excellent written and verbal communication abilities, a customer service orientation, and familiarity with ITIL processes. Moreover, continuous learning and a passion for new technologies are important traits for success in this role.

In approaching incident management for Azure services, I prioritize understanding the issue presented, quickly categorize it, and establish communication with the affected user. I then collaborate with team members to find solutions while ensuring updates are logged and communicated to stakeholders.

One effective automation solution I implemented involved scripting common troubleshooting responses for reoccurring Azure issues, reducing resolution time significantly and allowing team members to focus on more complex challenges.

I have worked extensively with Azure security technologies including network security groups, Azure Firewall, and implementing role-based access controls. Each project required assessing risks and ensuring compliance with best practices for security.

My experience with Azure Kubernetes involves deploying and managing containerized applications, scaling workloads efficiently, and utilizing Helm charts for application packaging, which enabled a more collaborative and agile development process.

I maintain effective communication within my technical team by conducting regular check-ins and utilizing collaboration tools. I make it a point to share updates about ongoing tasks and encourage open dialogue to address any challenges.

My strategy for documenting operational procedures includes creating clear, concise, and accessible documentation. I ensure that it is updated regularly and available to team members, and I also conduct workshops to familiarize everyone with the documentation.

To ensure customer satisfaction, I actively listen to their needs, provide timely updates during issue resolution, and follow up post-resolution to confirm that they are satisfied with the solution. Establishing a rapport with clients enhances trust and ensures they feel valued.

One major challenge I faced was integrating legacy systems with cloud infrastructure. To overcome this, I conducted thorough analysis and planning, utilized appropriate tools for migration, and communicated effectively with stakeholders about the necessary changes.

I stay current with new Azure features and technologies through a combination of continuous learning via online courses, webinars, following Azure updates through official blogs, and participating in community forums and discussions.

For monitoring Azure environments, I utilize tools like Azure Monitor and Azure Application Insights, which give insights into performance metrics, and I also employ Log Analytics for deep diagnostics and troubleshooting.