Interview

10 Essential Questions to Ask When Interviewing Cloud Engineers (2025)

10 essential questions to ask Cloud Engineer candidates in 2025, includes top traits, scoring tips, pitfalls and remote interview best practices.
Mar 21, 2025
6 mins to read
Lindy Guan
Litespace Blog
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10 Essential Questions to Ask When Interviewing Cloud Engineers (2025)

1. Why Cloud Engineer Interviews Are Getting Harder to Run

In 2025, recruiters are seeing a sharp rise in applications for cloud engineering roles, driven by a combination of AI-assisted resume submissions and increased demand for cloud infrastructure talent. As more candidates use tools to tailor resumes and answers, it becomes increasingly difficult to assess true skill levels and long-term fit. This creates pressure on hiring teams to develop more intentional and structured interview processes that can separate genuine expertise from surface-level responses. A traditional checklist approach no longer works—today's cloud interviews need depth, clarity, and consistency.

2. Core Traits to Look for in Cloud Engineer Candidates

Successful cloud engineers consistently demonstrate technical depth paired with strategic thinking and team-focused values.

  • Infrastructure Intuition – They understand how systems connect and can navigate trade-offs between scalability, security, and cost.
  • Problem-Solving – Strong candidates break down complex issues and find efficient, scalable solutions under pressure.
  • Ownership – They take responsibility for deployments, system reliability, and continuous improvement.
  • Collaboration – Cloud engineering involves cross-functional work with DevOps, security, and data teams.
  • Adaptability – Cloud ecosystems evolve rapidly, and top candidates can shift tools and strategies when needed.
  • Security Awareness – Strong engineers build with risk in mind and proactively address vulnerabilities.

3. Personal and Career Background

Cloud engineering candidates often have backgrounds rooted in systems thinking and backend development.

  • Bachelor’s in Computer Science, Information Systems, or a related field is common; Master’s degrees in Cloud Computing or DevOps are a bonus.
  • Many come from tech, financial services, or healthcare sectors, where infrastructure reliability is business-critical.
  • Former roles include Systems Administrator, DevOps Engineer, or Software Developer.
  • Some candidates start in IT support or networking before moving into cloud-focused roles.
  • Certifications like AWS Certified Solutions Architect or Microsoft Azure Fundamentals are frequently seen.

4. Technical Skills and Experience

Given the highly technical nature of cloud engineering, candidates must demonstrate strong applied experience across core platforms and tools.

  • Experience with AWS, Azure, or Google Cloud Platform – Familiarity with provisioning, scaling, and cost optimization across major cloud services.
  • IaC Tools (Terraform, CloudFormation) – Automating infrastructure management is key for speed and repeatability.
  • Containerization (Docker, Kubernetes) – Candidates should know how to deploy and orchestrate containerized applications.
  • CI/CD Pipelines – Hands-on knowledge of Jenkins, GitHub Actions, or similar tools is crucial for agile development cycles.
  • Monitoring & Logging Tools – Familiarity with tools like Prometheus, Grafana, or Datadog for performance tracking and alerting.
  • Scripting (Python, Bash) – Scripting knowledge is essential for automating tasks and building lightweight solutions.
  • Cloud Security Best Practices – Understanding IAM, network segmentation, and vulnerability management is critical.

5. Soft Skills

While technical expertise is essential, strong soft skills elevate cloud engineers into reliable long-term hires.

  • Communication – Clear, concise communication ensures smooth coordination during deployments and incidents.
  • Collaboration – Engineers must work well with developers, product teams, and security leads to align on goals.
  • Adaptability – The cloud ecosystem changes fast; great candidates are eager to learn and adjust.
  • Problem Ownership – Look for people who volunteer to fix things rather than waiting to be assigned.
  • Stress Tolerance – Cloud incidents are high-stakes; the best candidates stay calm and focus under pressure.

6. The Best Interview Questions to Ask and Why

Interviewing Cloud Engineers effectively means asking questions that reveal real-world thinking and infrastructure knowledge.

  • Tell me about a time you deployed a cloud service that later failed. What happened, and how did you respond?
    Reveals troubleshooting skills and accountability.
  • How do you decide whether to use containers, serverless, or VMs for a deployment?
    Tests judgment and architectural understanding.
  • What security practices do you apply when configuring IAM roles in AWS (or GCP/Azure)?
    Assesses awareness of least-privilege and cloud security risks.
  • Describe your experience automating infrastructure with Terraform or similar tools.
    Validates hands-on experience with infrastructure-as-code.
  • How would you monitor the performance and uptime of a new microservice?
    Checks familiarity with observability tools and practices.
  • Tell me about your most complex CI/CD pipeline implementation.
    Explores depth of experience in deployment automation.
  • How do you handle version control and rollback during critical deployments?
    Evaluates planning and operational discipline.
  • Have you ever had to manage cloud cost overruns? What did you do?
    Looks for financial awareness and optimization habits.

7. Good vs. Bad Interview Questions

Good interview questions for cloud engineers are scenario-based, open-ended, and designed to uncover how a candidate thinks and acts under pressure. They explore the candidate’s past actions and decisions in real contexts. For example, “Walk me through how you migrated an on-prem system to the cloud” invites specific storytelling.

Bad questions, on the other hand, are overly technical without context, vague, or yes/no. A poor example would be “Do you know AWS Lambda?”—it doesn’t uncover depth or practical usage. These types of questions lead to surface-level answers and often fail to differentiate candidates.

8. Scoring Candidates Properly

A structured evaluation rubric helps hiring teams stay objective, avoid bias, and focus on consistent hiring standards. By weighting specific categories aligned to role success, recruiters can more confidently select candidates who meet both technical and organizational needs.

9. Red/Green Flags to Watch Out For

Spotting red and green flags during interviews helps filter out risky hires and highlight standout candidates.

Red Flags:

  • Shifts blame to others during incident reviews or past failures.
  • Struggles to explain tools beyond buzzwords or tutorials.
  • Ignores cost implications of architectural decisions.
  • Avoids mentioning teamwork or collaboration experiences.

Green Flags:

  • Gives clear examples of infrastructure failures and lessons learned.
  • Shows curiosity about new tools or cloud features.
  • Describes how they optimized performance or cost in a past role.
  • Expresses pride in shared wins with cross-functional teams.

10. Common Interviewer Mistakes

Many hiring teams fall into traps that weaken the quality of their Cloud Engineer interviews. Overusing yes/no technical questions fails to uncover real capability. Running unstructured interviews leads to inconsistent decisions. Ignoring soft skills can result in poor team dynamics, even when the technical skills check out. Lastly, failing to calibrate interviewers can lead to unclear standards across hiring panels.

11. Tips for the Cloud Engineer Interview Process

Interviewing Cloud Engineers effectively requires a candidate-centric, structured approach.

  • Define a Success Profile – Clarify what success looks like in your cloud environment before interviews begin.
  • Use Structured Scorecards – Document feedback consistently across interviewers and questions.
  • Calibrate Your Interviewers – Align the team on expectations, format, and scoring before the first interview.
  • Limit Rounds to Key Stakeholders – Keep the process focused and avoid redundancy.
  • Allow Time for Candidate Questions – Candidates often assess you as much as you assess them.
  • Provide Prompt Feedback – Timely communication improves candidate experience and reflects well on your brand.

12. How to Run Remote & Async Interviews That Actually Work

When interviews are remote or asynchronous, clarity, fairness, and structure matter more than ever.

  • Choose the Right Tools – Use reliable platforms for video, coding assessments, and documentation sharing.
  • Design Role-Relevant Assessments – Simulate real tasks like writing Terraform or debugging container logs.
  • Set Clear Expectations – Provide timelines, formats, and technical requirements upfront.
  • Standardize Evaluation Criteria – Ensure every candidate is assessed with the same rubric.
  • Follow Up with Timely Communication – Prevent drop-offs and maintain candidate engagement.

13. Quick Interview Checklist

Interviewing Cloud Engineers? Use this checklist to stay aligned and efficient.

  1. Define job success criteria and key responsibilities.
  2. Create or refine a structured interview rubric.
  3. Align all interviewers through a calibration session.
  4. Screen resumes with attention to real-world experience.
  5. Conduct a technical phone screen or async skills assessment.
  6. Hold a behavioral interview focused on collaboration and ownership.
  7. Include a technical deep dive (e.g., architecture or IaC task).
  8. Evaluate communication and problem-solving during a scenario.
  9. Score each candidate using your rubric.
  10. Debrief with your hiring team to compare feedback.
  11. Provide timely updates and next steps to candidates.
  12. Make a confident, evidence-backed hiring decision.

14. Using Litespace to Improve Your Recruiting Process

Litespace helps streamline every step of hiring for technical roles like Cloud Engineers. From AI-powered resume screening to automated pre-screening interviews, the platform enhances your ability to identify strong candidates faster. With customizable scorecards, structured interview planning, and smart note-taking tools, Litespace brings consistency and clarity to every interaction.

Try Litespace today to enhance your recruiting process: https://www.litespace.io

15. Final Thoughts

Interviewing Cloud Engineers in 2025 requires more than just technical trivia. Structured interviews, clear scoring rubrics, and scenario-based questions help reveal who’s truly ready to own and scale your cloud infrastructure. When you focus on thoughtful preparation, remote-friendly processes, and consistent standards, you make better hires—faster. Apply these strategies to improve both the candidate experience and your long-term outcomes.

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