AXENTED — Blog Article
Slug: /blog-posts/how-to-interview-nearshore-engineers |
Meta description: Most technical interviews were designed for in-person hiring. For distributed teams, the signal that matters most is async communication quality, not LeetCode scores. |
Target keywords: interview nearshore engineer, remote technical interview, hire nearshore developer, remote engineer hiring process |
Remote technical interviews have a waste problem. Most of the process — the LeetCode screening, the abstract system design question, the vague "culture fit" conversation — was designed for in-person hiring and doesn't translate cleanly to a cross-border, distributed team context. The signal-to-noise ratio is low and the best candidates often self-select out before you see them.
This is the process we've refined running nearshore hiring across teams in Monterrey, Mexico City, and LATAM more broadly.
For a nearshore engineer joining a distributed team, the technical baseline is necessary but not sufficient. Two other dimensions matter at least as much and are evaluated poorly in most interview processes: the ability to work asynchronously and the ability to communicate across context gaps.
A technically strong engineer who requires constant synchronous unblocking is expensive on a distributed team. The overhead of timezone-bridging every question or decision eliminates the productivity advantage of a nearshore engagement. What you need is an engineer who can hold a problem, reason through it independently, document their thinking, and make good decisions with incomplete information. Those traits don't show up in a coding test.
Replace the initial recruiter call with a written async assignment. Send the candidate a one-page description of a technical problem — something that would take two to three hours to think through carefully — and ask them to write back a proposed approach. Not code. A written explanation of how they would think about it.
This screen does three things: it filters candidates who can't communicate in writing (a real blocker for distributed teams), it gives you a preview of how they reason through ambiguous problems, and it reveals whether they ask clarifying questions or make assumptions. The candidates who write back with good clarifying questions before diving into the answer are usually the ones worth continuing with.
The most predictive interview for distributed team work is a simulation of actual work conditions. Give the candidate a small, real-ish task — a code review of a 200-line pull request, a debugging exercise in a codebase you provide, or a technical design question with constraints that mirror your actual product. Give them two hours and access to documentation. Watch how they use it.
The goal is not to test whether they can solve the problem without help. It's to observe the process: how they break down the problem, what they look up versus what they know, how they handle the moment when their first approach doesn't work, and how they document what they did. That process is what you're hiring.
One technical conversation with a senior engineer on your team, structured around the simulation output. The candidate explains their work, the interviewer asks follow-up questions, and both sides test whether they can communicate effectively under real conditions.
What to look for: does the candidate speak precisely about technical concepts without being asked to, or do they use vague language that requires follow-up to understand? Do they explain their tradeoffs or just their conclusion? Can they say "I don't know" cleanly when they don't know something?
Most reference calls are useless because they ask questions that produce useless answers. "Would you work with this person again?" produces "yes" in 98% of cases. The question that produces useful information: "Tell me about a time this person got something wrong and how they handled it." Then listen carefully.
Candidates who acknowledge and learn from mistakes in the reference call are usually the engineers who improve fastest. Candidates whose references struggle to answer this question have usually never been in an environment where honest feedback was safe to give.
The full process described above takes about two weeks from first contact to offer. Stages 1 and 2 are async and don't require calendar coordination. Stage 3 requires one 60-minute meeting. Stage 4 requires one 30-minute call.
That timeline is faster than most in-person hiring processes, produces more signal about distributed work capability, and respects both the candidate's time and yours.
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