I have about four years of IT experience. I started in support and systems administration in 2022 and moved into Azure administration and engineering. I'm currently working toward a bachelor's degree and hold the AZ-104, SC-300, and MD-102 certifications.
My resume consistently gets me interviews for Azure and cloud engineering roles, but I haven't been able to convert those interviews into an offer over the past few months. I feel that I explain my experience clearly and use the STAR format, but something seems to be missing during technical or scenario-based interviews.
For people who interview candidates for cloud and Azure roles:
1. What subtle red flags cause someone with real sysadmin and Azure experience to fail technical interviews?
2. How can interviewers tell when someone communicates their experience well but lacks architectural thinking or experience at scale?
3. What separates someone who can manage an existing Azure environment from someone who can engineer and troubleshoot one under pressure?
I'd appreciate honest advice on what I should improve, especially around architecture, troubleshooting, automation, and communicating my individual contributions.
5 Answers
Most experienced candidates don’t fail because they lack every technical detail. They fail because they describe actions without explaining the reasoning behind them. Saying “I created a virtual network and VM” is much weaker than explaining why you chose a hub-and-spoke design, how traffic was controlled, and what trade-offs you considered.
In scenario questions, start by clarifying requirements such as RTO and RPO, compliance, budget, traffic, ownership, and operational expectations. Don’t stop at “it depends”—choose an approach and explain why. Networking and identity are especially revealing areas, including private endpoints, private DNS, routing, NSGs, firewalls, managed identities, RBAC, and privileged access management.
Portal-only experience can also make someone sound more like an operator than an engineer. Be comfortable with at least one infrastructure-as-code tool, such as Bicep or Terraform, and mention automation, monitoring, reliability, and cost. Also avoid claiming credit for everything as “we.” Interviewers need to understand exactly what you personally did.
A useful design structure is: requirements, constraints, proposed design, trade-offs, operations and monitoring, then cost. Prepare to explain what would happen if traffic increased tenfold, a region failed, the organization grew to dozens of subscriptions, or public endpoints were prohibited.
The same goes for having no infrastructure-as-code or automation examples. Even a small project can show that you understand repeatability and change control.
A good way to demonstrate engineering under pressure is to troubleshoot methodically instead of clicking through random settings. If a workload cannot reach a storage account through a private endpoint, walk through the path: DNS resolution, private DNS zone links, routes, firewall rules, storage firewall settings, and diagnostic logs. Explain which hypothesis you would test first and how you would prevent a recurrence.
Practice a few architecture designs out loud, such as a hub-and-spoke landing zone, and prepare real examples with numbers: scale, cost reduction, incident duration, users affected, or deployment frequency. Interviewers want to hear calm, layered reasoning and evidence that you understand both the immediate fix and the long-term design.
When I interview someone, I pay close attention to whether they can explain their individual contribution. Candidates often describe what the team accomplished, but that doesn’t show what they personally designed, changed, troubleshot, or delivered.
I also look for variety in experience. Have they only used the portal, or have they worked with pipelines, automation, projects, ownership of a service, and the broader business context? Years of experience matter, but the range and depth of that experience matter too.
The STAR method is useful, but answers should stay focused. Lead with the situation and your specific actions, then give the result. Avoid long background explanations that bury the key point.
“Cloud experience” can mean completely different things from one organization to another, so don’t try to guess what the interviewer wants based on a vague question. If they ask about Azure VMs, briefly confirm your experience, explain the context, and ask whether there is a particular VM-related project or capability they want you to discuss.
Strong technical interviews usually become more specific. You may be asked about distinctions such as an enterprise application versus an app registration, or the design considerations for storing VM backups in Azure Storage. Those questions test actual technical understanding and hands-on experience more effectively than broad questions about whether you have used Azure.
The important question isn’t only how you implemented something—it’s why you chose that approach instead of another one. Explain the alternatives you considered, the risks, expected impact, documentation, cost, savings, and any automation you added.
For example, if you delayed enforcing a new authentication method, explain the timing, user and support impact, risks, rollout plan, and what would need to change before proceeding. That kind of reasoning shows engineering judgment rather than simply following options in a graphical interface. At this experience level, interviewers will often expect some exposure to infrastructure as code, Terraform or Bicep, and repeatable deployments.
Using “we” for every answer is a real warning sign. It makes it difficult to tell whether the candidate owned the work or was only adjacent to it.