Screening checklist
DevOps Engineer Screening Checklist
Evaluate DevOps engineer candidates with this screening checklist covering CI/CD, cloud infrastructure, automation skills, and structured scoring rubrics.
The short answer
Screening DevOps Engineer candidates well means fixing the pass criteria before the first résumé is opened. The checklist below covers résumé triage, a short phone screen with model answers, a technical check with passing criteria, and the deal-breakers that end a conversation early.
- Must have: Strong Linux system administration and shell scripting skills
- Must have: Experience designing and maintaining CI/CD pipelines for production workloads
- Must have: Proficiency with containerization technologies including Docker and Kubernetes
- Deal-breaker: Cannot demonstrate hands-on experience with cloud infrastructure or CI/CD tools
Cohesyve finds, contacts and tests DevOps Engineer candidates on the real work and ranks them. Ten candidates free, no card.
Being screened for a role like this? Practise free →DevOps engineers bridge development and operations, ensuring software is delivered reliably and efficiently. Screening for this role requires evaluating infrastructure knowledge, automation skills, and a mindset oriented toward reliability and continuous improvement. This checklist guides you through each stage of candidate evaluation.
Résumé screening
- Degree in Computer Science, Information Technology, or equivalent hands-on experience
- Minimum two years of experience in a DevOps, SRE, or infrastructure engineering role
- Proficiency with at least one major cloud platform such as AWS, GCP, or Azure
- Experience with infrastructure as code tools like Terraform, CloudFormation, or Pulumi
- Hands-on experience building and maintaining CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions
- Knowledge of containerization and orchestration with Docker and Kubernetes
Must-have qualifications
- Strong Linux system administration and shell scripting skills
- Experience designing and maintaining CI/CD pipelines for production workloads
- Proficiency with containerization technologies including Docker and Kubernetes
- Understanding of networking fundamentals, DNS, load balancing, and security best practices
- Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, or ELK stack
Phone screen questions
Ask every candidate the same set, in the same order, and note the answer against the model before you form a view.
Describe the most complex CI/CD pipeline you have built or maintained. What challenges did you face?
A strong answer The candidate should detail the pipeline stages, tools used, how they handled testing, deployment strategies like blue-green or canary, and how they addressed challenges such as flaky tests, slow builds, or rollback procedures. They should show depth of practical experience.
How do you approach monitoring and alerting for a production system?
A strong answer A strong answer covers defining SLIs and SLOs, setting up meaningful alerts that avoid noise, using dashboards for visibility, and establishing incident response processes. The candidate should emphasize proactive monitoring over reactive firefighting.
Tell me about a major production incident you helped resolve. What was your role and what did you learn?
A strong answer The candidate should describe the incident, their specific actions during resolution, the root cause analysis afterward, and preventive measures implemented. They should demonstrate calm under pressure, systematic debugging, and a blameless postmortem mindset.
How do you manage infrastructure as code and what benefits has it provided your team?
A strong answer The candidate should discuss specific IaC tools they have used, explain how they version and review infrastructure changes, and describe benefits such as reproducibility, auditability, and faster provisioning. They should show appreciation for treating infrastructure with the same rigor as application code.
What is your approach to ensuring security in the deployment pipeline?
A strong answer The candidate should mention practices such as secret management, image scanning, least-privilege access, network segmentation, and compliance as code. They should demonstrate that security is integrated throughout the pipeline rather than bolted on at the end.
Cohesyve
Reach the phone screen with DevOps Engineer candidates who have done the work
Cohesyve finds and contacts DevOps Engineer candidates from your job description, tests each one on an AI job simulation of the role and ranks them, so the checklist above starts from a shortlist. Ten candidates free, no card.
Technical screening
| Area | What to test | Passing criteria |
|---|---|---|
| CI/CD Pipeline Design | Ask the candidate to design a CI/CD pipeline for a microservices application including build, test, security scanning, and multi-environment deployment stages. | The candidate designs a comprehensive pipeline with appropriate stages, parallel execution where possible, environment promotion strategy, and rollback mechanisms. They address testing at multiple levels and consider pipeline performance. |
| Infrastructure as Code | Provide a cloud architecture diagram and ask the candidate to write or pseudocode the Terraform or CloudFormation resources needed to provision it. | The candidate demonstrates strong IaC knowledge, uses modules and variables appropriately, considers state management, and follows security best practices in resource configuration. |
| Container Orchestration | Present a Kubernetes scenario involving deploying an application with specific scaling, networking, and storage requirements. Ask the candidate to define the necessary resources. | The candidate correctly specifies deployments, services, ingress rules, persistent volumes, and horizontal pod autoscaling. They demonstrate understanding of Kubernetes networking and resource management. |
| Incident Response and Troubleshooting | Simulate a production incident with provided logs, metrics, and system architecture. Ask the candidate to diagnose the issue and propose a resolution. | The candidate follows a systematic debugging approach, identifies the root cause from the provided information, proposes an effective fix, and suggests preventive measures. They communicate their thought process clearly. |
Fit and deal-breakers
Good signs
- Embraces automation and continuously seeks to reduce manual toil
- Demonstrates a blameless approach to incidents and focuses on systemic improvements
- Shows willingness to share knowledge and document processes for the team
- Balances reliability concerns with the need for development velocity
- Communicates effectively with both development and operations stakeholders
Deal-breakers
- Cannot demonstrate hands-on experience with cloud infrastructure or CI/CD tools
- Shows a siloed mindset that separates development and operations responsibilities
- Lacks understanding of security fundamentals in deployment and infrastructure
- Resists automation or prefers manual processes for repeatable tasks
Scoring rubric
Infrastructure and Cloud Skills
35%- Demonstrates deep knowledge of at least one major cloud platform and its core services
- Writes clean and maintainable infrastructure as code with proper state management
- Understands networking, security groups, and cloud architecture best practices
CI/CD and Automation
30%- Designs robust CI/CD pipelines with testing, security scanning, and deployment automation
- Automates repetitive operational tasks and reduces manual intervention
- Implements deployment strategies that minimize downtime and risk
Reliability and Incident Management
20%- Sets up effective monitoring, alerting, and observability for production systems
- Demonstrates systematic approach to incident diagnosis and resolution
- Conducts thorough postmortems and implements preventive measures
Collaboration and Culture
15%- Communicates technical concepts clearly to diverse stakeholders
- Shares knowledge through documentation and team enablement
- Aligns with company values and contributes to a collaborative engineering culture
Common questions
What certifications should we look for in DevOps engineer candidates?
Cloud provider certifications like AWS Solutions Architect, Google Cloud Professional DevOps Engineer, or Azure DevOps Engineer Expert demonstrate foundational knowledge. However, hands-on experience and the ability to solve real problems should weigh more heavily than certifications alone.
How do we assess DevOps candidates who come from a pure development or operations background?
Focus on their willingness and ability to bridge both worlds. A developer transitioning to DevOps should show interest in infrastructure and reliability. An operations person should demonstrate coding and automation skills. Evaluate adaptability and the breadth of their technical curiosity.
Should we test DevOps candidates on specific tools or general concepts?
Test general concepts and problem-solving ability first since tools change frequently. However, verify hands-on proficiency with the specific tools your organization uses during the technical screening to ensure the candidate can contribute quickly after onboarding.
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