Vetting Process: How We Hire the Top 5% of Engineers

Most hiring pipelines leak. A great CV turns into a bad hire when the interview tests trivia instead of shipped code, when domain context is never checked, or when communication skills are assessed in a single 30-minute call. At SelectCursor, we accept fewer than 5% of applicants into our Proptech and Fintech network. Clients do not have time to run six interview rounds on every candidate, so we front-load rigor in our vetting pipeline. Every engineer in our network holds at least five years of production experience and works with mandatory EU timezone overlap. This is how the process works, and why it is built the way it is.

Why the top 5% benchmark matters

A mis-hire in a seed or Series A engineering team costs more than salary. It costs delayed roadmap, lost investor confidence, and senior engineer time spent mentoring someone who will not make it. We designed the process to catch mismatches early, before the engineer ever speaks to the client. The result is an embedded team model where replacements are rare and onboarding is measured in days, not quarters. The 5% figure is an acceptance rate, not a vanity metric. It reflects a pipeline deep enough that we can be selective on technical depth, domain fluency, and remote communication at the same time. It also reflects market reality: across the EU, demand for senior ICT specialists continues to outstrip supply (Eurostat), so filtering for proven production skill is not a preference; it is a necessity.

Round 1: Technical assessment

The first round is a live technical interview, not a take-home task that sits unread for a week. The candidate joins a video call with a senior engineer from our network and works through a problem close to real production code: design an idempotent payment webhook handler, refactor a slow geospatial query, or add observability to a failing service. We score on three axes. First, correctness: does the solution handle edge cases, errors, and concurrency? Second, tradeoff articulation: can the candidate explain why they chose a specific index, data structure, or API pattern over alternatives? Third, testing habits: do they write tests as they go, or treat them as an afterthought?

We do not use LeetCode brainteasers. Senior engineers should demonstrate that they have shipped under real constraints, not that they can invert a binary tree from memory. Candidates who pass this round show they can read existing code, reason about maintainability, and discuss performance without guessing. We also pay attention to how they respond to feedback. The best engineers update their design when new constraints are introduced; the worst defend a fragile first answer.

Round 2: Domain knowledge

Technical skill is necessary but not sufficient. The second round tests whether the candidate understands the industry they will work in. For fintech placements, we probe payment flow design, idempotency keys, ledger consistency, PCI scope awareness, and GDPR basics. We ask how they would handle a double-charge bug, how they segment production access, and what audit evidence they would leave behind. For proptech placements, we test data modeling for listings, search ranking, geospatial queries, cadastral data ingestion, and integration patterns with property data APIs.

Domain fluency is what turns a two-week onboarding into two days. A senior engineer who already understands why a valuation model needs confidence intervals, or why a loan origination flow needs immutable event logs, can start contributing to architecture conversations immediately. This round is also where we filter out candidates who are technically strong but have only worked in low-stakes environments without regulatory or data-quality pressure. If you are hiring for a regulated product, generic backend experience is not enough.

Round 3: Communication and culture fit

Remote embedded teams live or die on written and spoken communication. The third round is a structured interview focused on English proficiency, async written clarity, and experience working in distributed teams. We ask candidates to explain a recent technical decision in writing, then discuss it live. We look for concise updates, the ability to flag blockers early, and the discipline to document context so that a teammate in a different timezone can pick up the work.

Culture fit does not mean personality fit. It means shared standards: do they review code as carefully as they write it? Do they ask clarifying questions before building? Do they treat client time as expensive? Clients interview finalists themselves before any offer; we coordinate the logistics, but we do not replace your judgment. Our role is to make sure every finalist is worth your time.

The best senior engineers are not always the easiest to interview. They ask hard questions about constraints, push back on vague requirements, and leave code better than they found it. Our rubric is designed to find them.

Ongoing quality management

Vetting is not a one-time filter. It is an operating system for long-term embedded teams. After placement, we run monthly check-ins with both the engineer and the client engineering lead. We review velocity, code review feedback, communication patterns, and integration into rituals. If performance slips or the business context changes, we intervene early with coaching, scope adjustments, or a replacement.

Our replacement guarantee means that if fit degrades, we source a successor and manage the handover. That safety net is only possible because the vetting pipeline is deep enough to produce bench strength quickly. We also collect structured feedback after every engagement, which feeds back into the interview rubric. If clients consistently flag a gap, such as deeper DevOps experience for fintech infrastructure roles, we update the domain interview to cover it.

What clients actually get

The practical output is a shortlist of one to three senior engineers who match your stack, domain, and working style. Many clients move from first call to offer within two to four weeks. Because our engineers work with at least six hours of EU timezone overlap, stand-ups, pair programming, and sprint planning happen in real time. Onboarding is usually measured in weeks, not the months typical of local senior hires.

Our transparent monthly rates, from EUR 4,000 for mid-level to EUR 11,200 for lead engineers, include vetting, contracts, payroll, compliance, and replacement support. There are no placement fees. You manage scope directly; we handle HR and admin overhead.

Frequently asked questions

What does top 5% actually mean? It is an acceptance rate, not a universal ranking. Fewer than 5% of applicants who enter our pipeline are accepted into the network. The benchmark is senior-level production experience plus validated performance in our three-round assessment.

Do clients lose control of the hiring decision? No. We vet and shortlist; clients interview finalists and approve every hire. We coordinate, we do not decide for you.

How quickly can an engineer start? Most placements start within two to four weeks from the first client call, depending on notice periods and domain specialization.

What happens if the engineer is not a fit? We run monthly performance check-ins and will replace the engineer at no additional placement cost if fit degrades, managing the handover to minimize disruption.

Which stacks and domains do you cover? We focus on Proptech and Fintech: Python, TypeScript, Node.js, React, Go, AWS, PostgreSQL, and modern data/ML pipelines. Domain expertise in payments, lending, property data, and compliance is part of every match.