By Vadym Lobariev, founder of MindHunt — recruiting technical specialists across Europe, Ukraine and Asia since 2011
Recruiting IT talent across multiple regions is not the same process as hiring locally. The platforms are different. The sourcing approaches are different. The complications — visa requirements, time zones, currency and contract structures — are different.
Over 15 years of running cross-border technical searches, we've placed engineers from Kyiv to Warsaw, from Manila to Auckland, from Poland to the UK. Here are the eight steps that determine whether those searches succeed.
Step 1: Write a Brief, Not Just a Job Description
Before you start looking for candidates, define the role precisely — and honestly.
Most searches that fail or drag on start with an underspecified brief. "Senior developer with X experience" tells a recruiter what technology stack you need. It doesn't tell them what problem this person is solving, what the team context is, which requirements are genuinely critical versus nice-to-have, or what makes this role worth leaving a stable job for.
A brief that works answers: What does success look like in six months? Which skills are must-have vs preferred? What kind of seniority signals matter — ownership level, architecture scope, team size managed? What is the compensation range?
Real example: When we searched for a C# WPF Developer for a European SaaS company in Kyiv, the specificity of the brief was critical. C# developers in Ukraine were largely transitioning toward web development — WPF desktop experience was becoming rarer. The brief needed to reflect that we were looking for someone with a genuine interest in desktop application development and openness to a hybrid work model, not just anyone with C# on their CV. We screened 433 candidates, presented 5, and placed one who aligned precisely with the technical needs.
Step 2: Map Where Your Candidates Actually Are
Different roles, different regions, different platforms.
A senior Golang developer in Europe is most likely on LinkedIn, DOU (if based in Ukraine), or in European tech communities. An AI/ML engineer in Southeast Asia is reachable through LinkedIn and local tech platforms. A .NET technical lead in Eastern Europe may be active on Djinni or Polish developer communities alongside LinkedIn.
Before sourcing, map the geography and the platforms. For cross-border searches, this means understanding where talent concentrates in each target market.
MindHunt AI searches LinkedIn and GitHub simultaneously from a job description — useful when you are sourcing across multiple regions and need to cast a wide net quickly without building separate Boolean searches for each market.
Real example: For a European SaaS company that needed two Technical/Team Leads with .NET expertise, we ran a targeted search across three countries — Poland, Romania, and Spain. Each market had a different sourcing approach. We reviewed 297 candidates across all three, presented 8 to the client, and placed two Technical/Team Leads who joined the client's development teams.
Step 3: Write a Job Description That Sells, Not Just Lists
A job description is a marketing document, not an HR checklist.
The best technical candidates — the ones you actually want — are evaluating multiple opportunities. Your job description needs to give them a reason to stop and respond rather than continue scrolling.
This means: specific problems they will work on (not generic "exciting challenges"), honest context about the team and technology (not marketing language), and clear information about compensation and structure. Vague descriptions attract vague candidates.
For cross-border searches specifically: be explicit about the arrangement — remote or relocation, contract or employment, which jurisdiction, what the working hours overlap looks like. International candidates have these questions before they reply.
Step 4: Source Active AND Passive Candidates — Especially for Senior Roles
Posting a job and waiting produces a self-selected pool: candidates who are actively looking. For senior and specialist roles, this pool is typically a small fraction of the available talent — and not necessarily the best of it.
The strongest candidates at senior level are usually employed, engaged in their current work, and not monitoring job boards. Reaching them requires outbound sourcing: identifying them, crafting a specific and credible approach, and opening a conversation.
This is where MindHunt AI is most useful in practice — you paste a job description and it sources matching candidates across LinkedIn and GitHub automatically, scoring them by relevance. It removes the manual search burden so recruiters can focus on the conversations that matter rather than the mechanics of finding who to contact.
Real example — and an honest one: For a New Zealand hospitality company launching an ambitious AI project, we ran an international search for an AI/ML Engineer willing to relocate from the Philippines to New Zealand. We sourced across the Philippines — one of Southeast Asia's growing tech hubs — and evaluated candidates not just for AI/ML technical skills but also for relocation readiness and visa eligibility.
We reviewed 464 candidates and presented 6 highly qualified AI/ML engineers. The client selected their preferred candidate. Then New Zealand immigration declined the visa application.
This was outside anyone's control. We continue to support the client in their search. We include this case because honest reporting matters more than a perfect track record — and because international searches genuinely involve factors that technical recruiting alone cannot resolve.
Step 5: Qualify Hard Constraints Early
Don't save the difficult conversations for the offer stage.
In the first recruiter screening conversation, establish: salary expectations and current compensation, notice period, any immigration or work permit considerations, competing offers, and — for candidates in Ukraine — mobilisation status.
These questions are not uncomfortable if asked professionally. They will cause significant problems if you discover the answers when you are ready to make an offer.
For international searches: visa eligibility is a hard constraint that needs to be validated early, not assumed. As the AI/ML search above illustrates — finding the right technical candidate and losing the placement at the immigration stage is a waste of everyone's effort that earlier qualification can sometimes prevent.
Step 6: Assess for the Role, Not for Generic Technical Standards
Technical assessment should match what the role actually requires.
A coding challenge testing algorithm complexity is appropriate for some roles and irrelevant for others. A system architecture discussion is the right assessment for a Tech Lead role. A live code review exercise is more practical than a whiteboard for many senior individual contributor roles.
Real example: For the Lead Golang Developer search across Europe, we focused the assessment specifically on Golang depth and leadership capability — the two things that actually mattered for a role that needed someone to lead critical development initiatives. We screened 198 candidates, presented 5, and placed one who immediately contributed to the client's SaaS development efforts.
The efficiency came from assessment precision. When you know what you're testing for, you don't waste time on criteria that don't affect the outcome.
Step 7: Move Fast Once You Have Good Candidates
Senior and specialist technical candidates in Europe, Ukraine and Asia are not waiting.
The developers, leads, and engineers worth hiring are receiving outreach from multiple companies simultaneously. The difference between getting the right person and losing them to a competitor is often the speed of your process — not the quality of your offer.
A well-run technical hiring process reaches a decision within three to four weeks of first candidate contact. Stages beyond four rounds produce diminishing returns and increasing drop-off. Feedback within 48 hours of each stage maintains momentum.
If your process takes three months, expect to lose candidates you want to move-faster competitors.
Step 8: Close Honestly — and Know What You Can't Control
Technical hiring has variables that are outside the recruiter's control: immigration decisions, counter-offers, personal circumstances that change during a long notice period.
The things you can control: how you treat candidates throughout the process, how clearly you communicate at every stage, how competitive your offer is relative to what the market actually pays (not what you budgeted two years ago), and how quickly you move once a decision is made.
For cross-border searches specifically: build in contingency for immigration timelines. Know the visa requirements for your target countries before you start sourcing. Involve your legal or HR team in the process early enough to identify issues before they become blockers.
Putting It Together
These eight steps apply whether you are hiring a developer in Kyiv, a team lead in Warsaw, a Golang engineer in Berlin, or an AI/ML specialist in Manila.
The specifics change — platforms, salary benchmarks, notice periods, visa requirements. The discipline doesn't.
At MindHunt, we use MindHunt AI to source candidates across LinkedIn and GitHub from a job description, without manual Boolean search — and pair it with recruiter-led screening and assessment. We cover Ukraine and Eastern Europe as primary markets and run searches across Europe and into Asia when the role requires it.
If you want to talk through a specific search, get in touch.
Related reading: Sourcing in IT Recruiting · Technical Recruitment: A Practical Process Guide · 7 Secrets to Successful IT Recruiting
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.
