From writing the job description to running the technical interview loop — a step-by-step framework for hiring senior DevOps, SRE, and Platform Engineers without creating expensive technical debt.
Christina Zhukova
EXZEV
Hiring a DevOps engineer is not the same as hiring a backend developer. The failure modes are completely different. A mediocre backend engineer ships slow features. A mediocre DevOps engineer takes down production at 2 AM — and takes your team's trust with it.
DevOps is also an unusually broad title. The same job description can attract:
Before you open a requisition, you need to decide which of these you actually need. Posting a generic JD and hoping for the best is the single biggest reason DevOps searches take six months and still end in a bad hire.
The rule: Write the JD for the person who will succeed in your specific environment — not for a hypothetical ideal engineer.
Answer these questions internally before a single word of the JD is written.
| Question | Why It Matters |
|---|---|
| Which cloud? (AWS / GCP / Azure / multi) | Cloud expertise is not fully transferable — a strong AWS engineer needs 3–6 months to become productive on GCP |
| Kubernetes or no? | K8s is a full specialization. Treating it as a checkbox guarantees a bad hire |
| SRE ownership (on-call) or pure implementation? | On-call responsibility changes the candidate profile entirely |
| Greenfield setup or inheriting legacy? | Greenfield needs an architect; legacy needs a pragmatist who is comfortable with constraints |
| IaC from scratch or extending existing Terraform? | A huge skill difference that most JDs ignore |
| Solo or part of a Platform team? | Solo engineers need to be generalists with strong communication; team members can be specialists |
If you cannot answer these in 30 minutes, your hiring brief is not ready. Do not start sourcing until it is.
Most DevOps JDs fail because they list every technology known to mankind. Candidates either ignore them or oversell. Both outcomes waste your time.
Instead of: "Experience with AWS, GCP, Azure, Kubernetes, Docker, Terraform, Ansible, Puppet, Chef, Jenkins, GitLab CI, CircleCI, Datadog, Prometheus, Grafana, PagerDuty..."
Write: "You will own our AWS infrastructure running on EKS. We use Terraform for all provisioning, ArgoCD for GitOps deployments, and Datadog for observability. You will be the primary on-call engineer for production incidents (current MTTR: 22 min)."
The second version attracts engineers who know exactly whether they are a fit. The first attracts everyone.
Structure that converts:
Cold applications have the lowest signal-to-noise ratio of any sourcing channel.
Highest signal:
#jobs channel and tool-specific channels (e.g., #argo-cd, #terraform)"platform engineer" AND "kubernetes" AND "terraform" AND ("AWS" OR "GCP")Mid signal:
Low signal:
The EXZEV approach: We maintain a database of 2,847 pre-vetted infrastructure engineers across 31 countries, scored on a 10-point scale across technical and soft skills. When you share a req, we match against candidates we have already assessed — not strangers from a cold search. Most clients receive a shortlist within 48 hours.
The screening stage is where most companies lose good candidates and advance bad ones simultaneously. The two most common failure modes:
The two-stage screen that works:
Five open-ended questions sent by email or shared in a Notion doc. No time pressure. You are evaluating how they think and communicate in writing, not how fast they can type under stress.
Example questions that reveal real depth:
What you are looking for: Specificity, ownership language ("I misconfigured" not "it broke"), and evidence of second-order thinking (what happens next, what could go wrong).
Red flag: Vague, generic answers with no concrete details. "I would assess the situation and create a plan" is not an answer.
One experienced infrastructure engineer from your team plus one generalist interviewer. Keep it structured:
Do not give LeetCode-style algorithm challenges unless algorithmic thinking is genuinely required. Shell scripting, Python automation, HCL review — yes. Sorting algorithms — no.
For a Senior DevOps or Platform Engineer, we recommend a four-part loop. Any more than four rounds for an individual contributor role is a red flag about your organization's culture — candidates will notice.
Your most senior infrastructure engineer. Deep dive on the candidate's primary area of expertise. Use their resume as the script — ask about specific projects, specific incidents, specific architectural decisions. "Tell me about a time" is not enough. "Walk me through exactly what the Terraform module looked like and why you structured it that way" is.
Present a realistic infrastructure challenge relevant to your specific stack. Evaluate:
Sample prompt: "Design a deployment pipeline for a fintech application that needs zero-downtime deployments, supports a rollback in under 3 minutes, and complies with SOC 2 audit requirements."
With a backend engineer or product manager. The question you are answering: can this person communicate infrastructure decisions to non-infrastructure people? DevOps engineers who cannot explain tradeoffs in plain language create silos. Silos create incidents.
Founder, CTO, or Engineering Manager. Culture fit, ownership mentality, and the "hell yes or no" final check. If the panel's reaction is "he seems fine" — the answer is no. The answer must be "I want this person on my team."
After running 400+ DevOps assessments, these are the patterns that reliably predict a bad hire.
Technical red flags:
Behavioral red flags:
In the offer stage:
Infrastructure engineers command premium salaries because the blast radius of their mistakes — and the value of their excellence — is enormous. Do not anchor to software engineer compensation bands.
| Level | Remote (Global) | US Market | Western Europe |
|---|---|---|---|
| Mid-Level (3–5 yrs) | $80–110k | $130–160k | €70–90k |
| Senior (5–8 yrs) | $110–145k | $160–200k | €90–120k |
| Lead / Staff (8+ yrs) | $145–185k | $200–270k | €120–155k |
On equity: In the US, strong candidates expect meaningful RSU grants or options. In Europe and fully remote markets, cash compensation dominates. Equity-heavy, cash-light offers rarely close senior DevOps candidates outside of Series A+ US startups.
On contractor vs. full-time: Many senior DevOps engineers prefer contracts for flexibility and rate arbitrage. If your role requires on-call and infrastructure ownership, push for full-time. If you need project-based work (a migration, a K8s build-out), a contract DevOps engineer at a higher daily rate is often the right answer.
A DevOps engineer set up to fail in the first 90 days will cost you more than the entire recruiting process. The most common failure: giving them no context and expecting immediate productivity.
Week 1–2: Access and context Give them read access to everything before their first day. On day one they should have credentials to production monitoring, the IaC repository, the runbooks, and three months of incident history. Nothing signals organizational dysfunction faster than waiting a week for a Jira account.
Week 3–4: Shadow and document Their first deliverable should be a runbook or architecture diagram of something they have learned. This forces real comprehension of the system and creates documentation that will outlast them.
Month 2: First ownership Assign one clear area of ownership. One service. One pipeline. One environment. Not five. Let them make it better and take full credit for the improvement.
Month 3: First incident If they have not handled a real production incident by month three, run a game day — intentional failure injection in a staging environment. You need to see how they perform under pressure before the real thing. How an engineer behaves during an incident tells you more about them than any interview.
Hiring DevOps is a high-stakes search where the cost of getting it wrong compounds quickly. The engineers who look good on paper but cannot perform under pressure are extremely common in this market. The ones who can — and who will stay — require a disciplined search process, a rigorous interview loop, and an onboarding that sets them up to succeed.
If you want to shortcut the sourcing and screening, we can help. Every engineer in the EXZEV database has been assessed on our 10-point framework. We do not introduce anyone who scores below 8.5. Most clients make an offer within 10 days of their first shortlist.
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