By Vadym Lobariev, founder of MindHunt — recruiting technical specialists across Europe and Ukraine since 2011
DevOps engineers are genuinely competitive in the hiring market. Not because they are rare in absolute terms — there are many people with DevOps on their CV — but because the specific combination of skills your role requires is usually smaller than the headline technology suggests.
Two insights from running DevOps searches that most hiring guides don't mention: the cloud specialisation reality, and why cost awareness is the skill that separates strong candidates from expensive ones.
The Cloud Specialisation Reality
DevOps engineers do not typically have equal depth across all cloud platforms. In practice, most have a primary specialisation — Azure, AWS, or GCP — and meaningful familiarity with one or at most two others. Genuine deep expertise across all three is rare and usually indicates someone who has worked at a consulting firm or has been deliberately building breadth, not an average DevOps career path.
This matters for your search:
Azure is dominant in enterprise and corporate environments, particularly for companies using Microsoft's broader ecosystem (.NET, Active Directory, Teams, Office 365). If your stack is Microsoft-aligned, Azure DevOps experience is a strong signal.
AWS remains the largest cloud provider by market share and has the broadest ecosystem of services. Strong AWS experience is the most common profile in the market. For startups and product companies without a Microsoft alignment, AWS is often the default.
GCP has a smaller DevOps talent pool but attracts engineers who work heavily with data, ML/AI infrastructure, and companies deeply integrated with Google's ecosystem. If you are building AI-adjacent infrastructure, GCP-specialist DevOps engineers are worth considering.
Before posting a role, decide which cloud platform is primary for your infrastructure. Specifying "Azure" rather than "cloud infrastructure" immediately narrows the pool to relevant candidates and saves everyone's time.
The Skill That's Actually Rare: Cost Awareness
This is the insight that comes from running DevOps searches for clients who have specific requirements beyond "manage our infrastructure."
The question clients increasingly ask about DevOps engineers: do they understand how their architectural decisions affect cost?
Ingress and egress — the traffic flowing into and out of your cloud environment — are a meaningful driver of cloud costs. How you configure load balancers, where you place resources relative to your users, how data moves between services and regions — all of these have pricing implications. A DevOps engineer who understands how settings translate into billing can make architectural decisions that save meaningful money. One who doesn't may make technically correct choices that cost significantly more than necessary.
Why this skill is rare:
In large organisations, DevOps roles are often narrow. A DevOps engineer at a big company might own a specific part of the CI/CD pipeline, or manage a particular set of services, without ever having responsibility for the overall cost profile of the infrastructure. Pricing optimisation tends to be the responsibility of a team lead or cloud architect, not the individual engineer.
This means engineers who come from large-company backgrounds can have impressive technical depth in specific areas while having almost no intuition for cost. They have never had to think about it.
The engineers with cost awareness tend to come from two backgrounds: startups or smaller companies where they owned a meaningful part of the infrastructure and could see the billing impact of their decisions, or companies that actively measure cloud spend and hold engineering teams accountable for it.
For interviews: ask specifically about a time the candidate identified a cost issue in their cloud infrastructure and what they did about it. The answer — or the absence of a good answer — tells you a lot.
What DevOps Engineers Actually Do in 2026
The role has evolved significantly from the configuration-management-heavy work of ten years ago. The core areas:
CI/CD pipelines. Building and maintaining the automated systems that test, build, and deploy code. GitHub Actions, GitLab CI, Jenkins, ArgoCD — the specifics vary by company but the concept is universal. This is often the most day-to-day visible part of the role.
Container orchestration. Kubernetes is now the standard for container management in production at most companies of meaningful scale. Comfort with Kubernetes — not just deploying containers but understanding networking, scaling, secrets management, and cluster administration — is a baseline expectation for mid-level and senior DevOps.
Infrastructure as Code. Terraform is the dominant tool for defining and managing cloud infrastructure programmatically. HashiCorp Vault for secrets management. Helm for Kubernetes package management. Engineers who can write and maintain IaC that others can understand and modify are more valuable than those who manage infrastructure manually.
Monitoring and observability. Setting up and maintaining the systems that tell you when something is wrong: Datadog, Grafana, Prometheus, the ELK stack. A DevOps engineer who can build good alerting and dashboards prevents incidents. One who cannot creates blind spots.
Security. Increasingly integrated into DevOps work — sometimes called DevSecOps. Setting up proper access controls, managing secrets, ensuring containers run with minimal privileges, integrating security scanning into CI/CD pipelines.
Salary Benchmarks for DevOps Engineers in Ukraine (2026)
| Level | Monthly (USD, gross) |
|---|---|
| Junior | $1,000–1,600 |
| Middle | $2,500–4,000 |
| Senior | $4,500–7,500 |
| Lead/Staff | $6,000–10,000+ |
Engineers with Azure certification, Kubernetes expertise, or demonstrated cost optimisation experience command rates toward the top of these ranges.
How to Source DevOps Engineers
Senior DevOps engineers are almost never actively applying to job postings. They receive regular outreach, are typically employed on interesting problems, and move for specific opportunities rather than generic "cloud infrastructure" roles.
Outbound sourcing is necessary. The platforms that work:
- LinkedIn — primary channel; filter specifically by cloud platform certification and current company type
- DOU — the main Ukrainian developer community; DevOps profiles are well-represented and salary data is reliable
- Djinni — Ukraine and Eastern European DevOps market; better response rates than cold LinkedIn outreach
- GitHub — for senior and specialist roles, public repositories show what the engineer actually builds in IaC, Docker configurations, and CI pipeline setup
MindHunt AI — sources across LinkedIn and GitHub from a job description, without manual Boolean search. For DevOps searches with specific cloud platform requirements, the AI matching surfaces profiles based on actual experience rather than just keyword listing. Contact details — email and phone — fetched in one click once a candidate is identified.
What to Assess in DevOps Interviews
Cloud architecture discussion. "Walk me through how you would design the infrastructure for a new web application on [your target cloud platform] — what services would you use and why?" This reveals architectural thinking, not just tool familiarity.
Cost question. "Tell me about a time you identified a cost issue in your cloud infrastructure. What was the cause and what did you do?" As noted above — the answer reveals whether the candidate thinks about infrastructure economically, not just technically.
Ingress/egress specifics. For senior roles: "How do ingress and egress costs work on [AWS/Azure/GCP]? What settings would you review first if a client told you their cloud costs were higher than expected?" Engineers with real cost experience can answer this. Those who have only worked in large companies with managed budgets usually cannot.
Incident response. "Describe an incident in production that you were involved in resolving. What happened, what did you do, and what changed afterward?" This reveals how the candidate operates under pressure and whether they contribute to lasting improvement.
Working With MindHunt on DevOps Searches
We have placed DevOps engineers across Ukraine and Eastern Europe for product companies, SaaS businesses, and enterprise development centres. We understand the Azure/AWS/GCP specialisation distinction and screen specifically for cost awareness when clients identify it as a requirement.
Get in touch to discuss your DevOps search.
Related reading: How to Hire Developers in Ukraine in 2026 · Sourcing in IT Recruiting · Top IT Hiring Trends 2026
Written by
Vadym Lobariev
MindHunt is an AI powered recruitment firm for founders, C-level and hiring managers who are tired of posting and praying. We execute a proven sourcing process for your hardest roles and show you the work every week — so you can make hires with confidence, not hope.
