Hiring a DevOps Engineer in 2026: Azure vs AWS, Cost Awareness and Salaries

By Vadym Lobariev, founder of MindHunt — recruiting technical specialists in Ukraine and Europe since 2011.

Quick answer

Most DevOps engineers are deep in one cloud — Azure, AWS or GCP — and only familiar with the others, so decide your primary cloud before you search. The skill that separates strong candidates is cost awareness: understanding how architecture choices show up on the cloud bill. In Ukraine, a mid-level DevOps engineer working for a Western company earns about $3,200–4,500 a month and a senior about $5,500–7,500. Senior DevOps engineers rarely apply to job posts, so expect to source them; with active sourcing, the first qualified candidates usually come within 2–3 weeks.

DevOps engineers are genuinely competitive in the hiring market. Not because they are rare in absolute terms — plenty of people have DevOps on their CV — but because the combination of skills your role actually needs is usually much smaller than the job title suggests.

Two things 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 usually have equal depth across all cloud platforms. In practice, most have a primary specialisation — Azure, AWS or GCP — and working familiarity with one or at most two others. Genuine depth across all three is rare and usually means someone who worked at a consultancy or deliberately built breadth, not a typical career path.

Azure dominates in enterprise and corporate environments, especially for companies on Microsoft's wider stack (.NET, Active Directory, Microsoft 365). If your stack is Microsoft-aligned, real Azure experience is a strong signal.

AWS has the broadest set of services, and strong AWS experience is the most common profile in the market. For startups and product companies without a Microsoft alignment, it is often the default.

GCP has a smaller DevOps talent pool, but attracts engineers who work with data, ML and AI infrastructure, and companies built around Google's ecosystem.

The mistake I see most often

A company running on Azure posts a DevOps role, and the best applicant has strong AWS experience and "some Azure". They hire. Three months later the infrastructure work is slow, the decisions feel generic, and nobody can say exactly why.

The reason is simple: the two clouds have different services, different identity and networking models, different ways of billing. Someone who learned on AWS can work on Azure, but they are learning on your infrastructure. This happens because the company posted a job and chose from whoever replied. A job post can't tell a deep Azure engineer from an AWS engineer with an Azure certificate; their CVs look almost the same. Sourcing can: you look for people whose current work runs on your cloud, and you ask about it in the first conversation.

Before you search, decide which cloud is primary for your infrastructure, and write it into the brief. "Azure" instead of "cloud infrastructure" immediately narrows the search to people who can help.

The skill that's actually rare: cost awareness

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 it has a price. An engineer who understands how settings translate into billing makes decisions that save real money. One who doesn't may make technically correct choices that cost far more than necessary.

Why this skill is rare. In large organisations, DevOps roles are often narrow. An engineer might own one part of the CI/CD pipeline or one set of services without ever being responsible for the overall cost of the infrastructure; pricing is the job of a team lead or cloud architect. So engineers from large companies can have impressive depth in specific areas and almost no intuition for cost, simply because they never had to think about it.

The engineers with cost awareness tend to come from startups and smaller companies, where they owned a large part of the infrastructure and saw the bill, or from companies that measure cloud spend and hold engineering teams accountable for it.

DevOps, SRE or platform engineer: what are you actually hiring?

The three titles overlap, and companies often use them interchangeably. It helps to know which one you mean before you search, because the strongest candidates for each look different.

DevOps engineer: builds and runs the path from code to production — CI/CD pipelines, infrastructure as code, environments, deployments. The most common profile and the right one for most product companies.
Site reliability engineer (SRE): focuses on keeping production reliable — service-level objectives, monitoring, incident response, on-call, and engineering away the causes of incidents. Worth hiring when uptime is your product's main promise.
Platform engineer: builds an internal platform that other engineering teams use to ship on their own — templates, golden paths, self-service infrastructure. Usually makes sense once you have several product teams.

What DevOps engineers actually do in 2026

CI/CD pipelines. Building and maintaining the systems that test, build and deploy code: GitHub Actions, GitLab CI, Jenkins, ArgoCD. Often the most visible part of the role day to day.

Container orchestration. Kubernetes is the standard for running containers in production at most companies of meaningful size. For mid-level and senior DevOps, comfort with networking, scaling, secrets and cluster administration — not just deploying containers — is a baseline expectation.

Infrastructure as code. Terraform is the dominant tool for defining cloud infrastructure in code, with Helm for Kubernetes packages and Vault for secrets. Engineers who write IaC that others can read and change are worth more than those who manage infrastructure by hand.

Monitoring and observability. The systems that tell you when something is wrong: Datadog, Grafana, Prometheus, the ELK stack. Good alerting prevents incidents; poor alerting creates blind spots.

Security. Increasingly part of the job, sometimes called DevSecOps: access control, secrets management, containers running with minimal privileges, security scanning in the pipeline.

DevOps salaries in Ukraine (2026)

Figures for DevOps and SRE engineers working for Western companies, from our Ukraine developer salary guide, which is built on DOU and Djinni data:

Level	Monthly (USD)
Mid-level	$3,200 – $4,500
Senior	$5,500 – $7,500

DevOps is among the best-paid engineering roles in Ukraine, and supply is tight. Deep experience in your exact cloud, strong Kubernetes skills and real cost-optimisation work push candidates to the top of the range. Ukrainian companies pay less for the same level; the salary guide has those figures too. For what a hire costs beyond the salary — contract route, fees and time — see Cost of Hiring a Developer in Ukraine.

How to find DevOps engineers

Senior DevOps engineers almost never apply to job posts. They receive regular outreach, usually work on interesting problems, and move for specific opportunities rather than a generic "cloud infrastructure" role. Outbound sourcing is necessary, and the channels that work are:

LinkedIn — the primary channel; filter by the cloud they use now, not just by certifications.
DOU — the main Ukrainian developer community, where DevOps profiles are well represented.
Djinni — the Ukrainian tech job platform, useful for engineers who are open to offers.
GitHub — for senior roles, public repositories show the IaC, Docker setups and pipelines a person actually builds.

Then comes follow-up. A senior engineer who doesn't answer the first message is usually busy, not uninterested; an email, a second message or a call often gets the conversation that one LinkedIn note never would. We source through MindHunt AI, which searches from a job description and filters by actual experience rather than keyword lists, and then reach out across several channels until we get a clear yes or no.

Red flags in DevOps candidates

A sysadmin with a new title. Years of manual server administration relabelled as DevOps, with no infrastructure as code or pipelines they built themselves.
Certificates without production. A strong cloud certification but no system they ran in production under real load.
"Expert in all three clouds." Ask one detailed question about your primary cloud. Breadth claimed on a CV usually turns out to be shallow.
Tools without reasons. A long list of tools, but no clear answer to why they chose one over another.
No cost and no incident story. A senior engineer who can't describe a cost problem they found or an incident they helped resolve hasn't owned enough of the infrastructure yet.

What to assess in DevOps interviews

Cloud architecture. "Walk me through how you would design the infrastructure for a new web application on [your cloud]. Which services would you use, and why?" This reveals architectural thinking, not just tool familiarity.

Cost. "Tell me about a time you found a cost problem in your cloud infrastructure. What caused it and what did you do?" The answer shows whether the candidate thinks about infrastructure economically as well as technically.

Ingress and egress. For senior roles: "How do ingress and egress costs work on [your cloud]? What would you check first if a client said their cloud bill was higher than expected?" Engineers with real cost experience can answer; those who have only worked inside large companies with managed budgets usually can't.

Incident response. "Describe a production incident you helped resolve. What happened, what did you do, and what changed afterwards?" This shows how the candidate works under pressure and whether they make lasting improvements.

How long a DevOps search takes

With active sourcing across several channels, the first qualified candidates usually come within 2–3 weeks. After that, the timeline depends mostly on your interview speed and the candidate's notice period. Most DevOps engineers working for Western companies are contractors (FOP), so the notice they give is whatever their current contract says.

The fastest way to lose that time is a vague brief. "DevOps engineer, cloud, Kubernetes" finds everyone and therefore no one. "DevOps engineer, Azure primary, AKS in production, Terraform, owns cost" finds the people who can do the job.

Frequently Asked Questions

How much does a DevOps engineer cost in Ukraine?

A mid-level DevOps engineer working for a Western company earns about $3,200–4,500 a month and a senior about $5,500–7,500, according to our salary guide based on DOU and Djinni data. Engineers with deep experience in your exact cloud and real cost-optimisation work are at the top of the range.

Should I hire a DevOps engineer with AWS experience for an Azure role?

Only if you accept a learning period on your infrastructure. The clouds differ in services, identity, networking and billing, so an engineer whose depth is in AWS will be slower and less sure on Azure for months. If your infrastructure is on Azure, look for someone whose current work runs on Azure.

What is the difference between DevOps and SRE?

A DevOps engineer builds and runs the path from code to production: pipelines, infrastructure as code and deployments. A site reliability engineer focuses on keeping production reliable: service-level objectives, monitoring, incident response and on-call. Most product companies need a DevOps engineer first.

How long does it take to hire a DevOps engineer?

With active sourcing, the first qualified candidates usually come within 2–3 weeks. The rest depends on how fast you interview and on the candidate's notice period.

Where can I find DevOps engineers in Ukraine?

Senior DevOps engineers rarely apply to job posts, so search for them: LinkedIn filtered by the cloud they use now, DOU, Djinni and GitHub, followed by outreach on several channels until each person gives a clear answer.

If you're hiring a DevOps engineer, tell me about the role. We screen for the cloud you actually run on and for cost awareness when you need it.