A deployment fails just before a product launch. Developers wait for someone to provision an environment. The same production issue returns because no one has time to fix the root cause.
These problems often prompt employers to hire DevOps engineers. But a resume listing AWS, Terraform and Kubernetes doesn’t show whether someone can improve your systems.
The right hire understands how software reaches production, where failures happen and how teams can work together to prevent them. They also know when automation helps and when a process needs fixing first.
This guide explains how to define the role, assess essential skills, find suitable candidates and run interviews that reveal practical experience.
List your most pressing delivery and infrastructure problems. Perhaps releases depend on manual steps, environments differ or alerts regularly interrupt engineers without helping them resolve issues.
Turn those problems into responsibilities. For example, “reduce manual deployment steps” gives candidates more useful context than “manage DevOps activities.” Establish who owns application code, infrastructure, security reviews and production incidents.
Choose realistic early outcomes. During the first few months, a hire might document the release process, automate environment setup or improve monitoring for a critical service.
DORA’s software delivery metrics can help teams measure progress through deployment frequency, change lead time, failed deployment recovery time, change failure rate and deployment rework rate. Use these to understand team performance. No single engineer can control every outcome.
The work experience required of an engineer who creates and maintains standards differs from that of an engineer who creates and maintains pipelines.
Understand the level of independence required to assess the right seniority for the role.
Also clarify your needs between DevOps, SRE and PE. TE and PE roles are similar, but it’s important to understand the work thoroughly, as roles may overlap and compound.
Choose a hiring model that fits your needs:
Confirm reporting lines and on-call coverage before talking to candidates. Be pragmatic when assessing limits. If the role involves designing and operating infrastructure while also serving as a security lead and first responder to incidents, be realistic about capacity and when advertising the role.
Strong fundamentals help engineers understand how a myriad of tools work, why they work the way they do and what constraints exist. Candidates must understand processes, resource utilization and consumption, DNS and networking.
Practical scripting is a big plus. However, engineers should write scripts idiomatically. This means using the language as naturally as possible. The same philosophy ought to apply to version control and automation.
When dealing with version control, ask how they handle concurrent versioning and branching. For automation, ask how they guard against potentially unsafe states. The same philosophy ought to apply to testing. How do they ensure a script accomplishes the desired outcome?
For example, someone investigating an unreachable service should explain how they would isolate an application, network or configuration problem.
Prioritize experience with your main cloud platform. Explore identity and access management, networking, backup arrangements, availability and cloud costs.
Assess candidates’ abilities to evaluate changes, work with various forms of state and cope with configuration drift. How do they handle situations when recorded configuration doesn’t match the actual infrastructure? How do they work with parameterized and generic configurations?
HashiCorp’s Terraform documentation distinguishes planning changes from applying them. Candidates should understand that distinction and explain how they review potentially disruptive changes before execution.
Look for pipeline improvements and automation that candidates have implemented. Consider evidence from jobs at different stages.
Ask about the continuous delivery and deployment process. Continuous delivery integrates code changes and keeps them ready for deployment. Continuous deployment automatically releases changes to the application.
Cover situations in which releases have failed. Discuss different ways of dealing with failure, including how the database is changed. Understand that undoing application code changes does not undo database changes.
Assess how candidates create images and configure runtime and resource constraints for containers and how they diagnose problems with them. Candidates should be able to tell you how they would investigate an application that runs correctly in a container on the host system, but fails after it is deployed.
Assess candidates’ understanding of workloads and services and their configuration in a Kubernetes cluster, including storage and access control. Employers using a managed Kubernetes service should assess candidates’ ability to work in this environment.
During the interview process, ask about logs, metrics and traces and the importance of each during an investigation. What important characteristics distinguish alerts? What factors influence incident priority?
You should also ask about credential management. What is the process for scanning and deploying code securely to production? Are production changes managed automatically through code?
When an incident occurs, what remediation steps are available? What is the best way to communicate the status to stakeholders? When should you escalate?
State your team’s environment and major obstacles. Mention the level of ownership you expect and identify what skills are lacking and what skills can be learned.
Don’t take a “gatekeeping” approach or assume someone lacks a skill just because they don’t have a particular tool. For example, someone with significant pipeline experience would likely learn a different CI tool quickly.
Are there opportunities for the employee to improve processes or institutions or will the employee be constrained to the status quo? These questions often make the candidate learn more quickly.
Publish the approved salary range and explain benefits, location and remote or hybrid expectations. Include required working-hour overlap and on-call arrangements.
For broader US context, BLS reports a $135,980 median annual wage for software developers in May 2025. This is not a DevOps-specific salary benchmark. Set your range using the role’s responsibilities, location, seniority and current market evidence.
Connect with actively looking candidates on job boards tailored to your role. These job boards usually offer strong search functions that let you filter by responsibilities.
Consider Cloud, Infrastructure and Platform engineers, SREs and similar roles. First, look at what the candidate owned before deciding whether their role matches the one you are hiring for.
Review public repositories for infrastructure and automation configuration examples, including documentation and code samples. Public repositories can be very helpful when discussing possible design choices for code maintenance.
Review public repositories and pull requests for code examples and provide constructive criticism.
Also, look for public repositories to check for standards compliance. Judge an engineer’s capability by their code, not by their popularity or the number of pull requests they’ve made.
Many of the best engineers work in closed-source environments and can’t share samples of their work because of non-disclosure agreements.
Look through local meetups and find cloud native groups and events like DevOpsDays. Most participants will be developers and operations people in various roles.
Make yourself known in these groups to establish trusted relationships and have valuable discussions. Former employers and employees can identify suitable candidates. Maintain the integrity of your hiring process and evaluate candidates thoroughly.
With deep sourcing and dedicated recruiters, SPECTRAFORCE delivers the best-fit healthcare IT candidate profiles to you within 1.5 days.
Ask candidates to describe decisions, actions and results. Follow up when answers remain general. The questions below help employers distinguish familiarity with terminology from experience handling real systems.
1. “Walk us through a pipeline you improved. What changed and how did you measure the result?”
Look for a clear explanation of the original problem, the candidate’s contribution and the result. Useful evidence could include fewer manual steps, shorter build times or more reliable tests. Ask how they checked that improvements did not weaken release safeguards.
2. “An infrastructure plan includes an unexpected resource replacement. What would you check before approving it?”
When assessing this type of plan, review candidates should be able to identify configuration changes and determine whether a state change represents a risk to running services. When determining risk, candidates should review automation around the change and explain their assessment of whether automation safeguards are sufficient to prevent errors.
3. “How would you release a risky application change while limiting customer impact?”
Health checks and monitoring are essential to application rollouts. Planning for recovery is also important. Under what circumstances would you stop the application rollout? Why? Knowing the rationale can help frame your thoughts. The actions and considerations for rolling out an application may vary by application type. Assess the rationale behind the actions.
4. “Errors increase immediately after a deployment. What would you do first?”
Look for customer impact assessment, coordinated mitigation and clear communication. Candidates should gather relevant evidence while considering whether rollback or another recovery step is safe. Ask how they would organize deeper investigation after the service is stable.
5. “How would you decide whether an alert should page someone?”
When answering this question, potential engineers should evaluate user impact and the situation’s immediacy. Candidates should also consider the actions an engineer can take. Also consider how the candidate handles repetitive alerts and their paging threshold. It is also important to know which conditions require action and which can wait.
6. “A credential appears in a repository. How would you respond?”
Determine whether to revoke, rotate or investigate the credentialed party. Look into potential exposure risks. Merely removing the file won’t resolve the issue, as the credential could still be stored or duplicated elsewhere. Ask what would be done to prevent this from happening again.
7. “Tell us about a disagreement over release speed and operational risk. How did you resolve it?”
Look for issues that require a group decision and the evidence supporting it. Prefer candidates who don’t describe coworkers as barriers.
8. “Describe an automation project that failed. What changed afterward?”
Look for the candidate’s level of accountability, the actions they took to learn from the experience and the changes they implemented.
Consider using a practical assessment. Interviews do a good job of explaining a candidate’s experience, but they can only demonstrate, to a limited degree, how a candidate approaches the unknown.
Choose a bounded task, like researching a broken pipeline, reviewing an infrastructure change or explaining a sample log from a simulated incident. Share anything you think will be useful and define the kind of answer you expect.
Create a fictitious situation and allow candidates to do job-related work. Don’t make candidates perform real company work.
Look for how they draw reasonable conclusions, consider potential threats and describe their findings. Allow candidates to use company resources and AI tools. Tell candidates to explain and elaborate on anything they find or recommend.
Create a scorecard to evaluate technical skills, automation, operations, security and collaboration. Determine the type of evidence you expect at what seniority level.
The US Office of Personnel Management (US-OPM) recommends using structured interviews to predetermine questions and standardize ratings. Use this guidance to create a consistent process for assessing candidates.
Interviewers should capture observations and provide input before the debrief. Discuss observations to decide whether to proceed with candidate consideration.
Once you identify the candidate you will extend an offer to, determine expected working conditions, desired start date and finalize compensation. Provide the new employee with access and a clear plan to get started.
The first step of hiring DevOps engineers is understanding the work your team needs done. Once you have a clear idea, you can start defining ownership and access levels. Then decide the required experience level and develop objectives and assessments accordingly.
SPECTRAFORCE provides contract, contract-to-hire and direct-hire technology staffing. Our specialized recruiters source, screen and assist with candidate evaluation and, with DevOps-specialized recruiters, help facilitate interview and offer processes for cloud and DevOps roles.
SPECTRAFORCE’s Leoforce lets our recruiters use our AI sourcing technology to find candidates who meet our clients’ needs more effectively and efficiently.
Ready to talk to SPECTRAFORCE about DevOps engineer staffing that fits your technical needs, hiring timeline and team plans?
Integrated Marketing Manager at SPECTRAFORCE focused on brand visibility, content strategy, search, and thought leadership.
SPECTRAFORCE can help from finding candidates to delivering outcomes.
How to Hire a Full Stack Developer: Must-Have Skills for 2026 Projects Makayla Adams A resume can list React, Node.js,
How to Hire a Data Engineer: Must-Have Skills, Tools and Interview Questions Makayla Adams Your team has surfaced irregularities in
How to Evaluate an IT Staffing Partner for Enterprise Hiring Makayla Adams Enterprise IT hiring rarely involves one team and
