Updated July 2026
High-performing LATAM developers combine technical execution, clear communication, and reliable ownership — and none of those three show up reliably on a resume. As companies increasingly build distributed engineering teams across Mexico, Colombia, Brazil, and Argentina, the demand for a repeatable way to test candidates before making an offer has grown right alongside the hiring volume.
This framework outlines 7 things every hiring team should test before extending an offer to a LATAM developer, along with practical evaluation methods for each one. If you're still deciding where to source candidates, see our comparison of the best platforms to hire remote LATAM developers first — this checklist picks up once you have candidates in the pipeline. And if LATAM is one of several regions on your shortlist, the same seven checkpoints hold up whether you hire remote developers globally or focus on a single nearshore market.
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Skill #1: Applied Code Quality
Writes code that is correct, readable, and maintainable — not just code that runs.
Why it matters: A developer who produces working code under interview pressure isn't necessarily producing code your team can maintain six months later. Naming, structure, and error handling are just as predictive of long-term velocity as whether the feature technically functions.
Real-world scenario: Two candidates both complete a take-home API task correctly. One submission has no error handling and a single 200-line function; the other separates concerns cleanly and handles edge cases without being asked to. The second candidate will cost your team far less in future rework.
Evaluation Method: Assign a scoped 60–90 minute async task reflecting real work (not algorithm puzzles), graded against a rubric decided before submissions are reviewed.
Skill #2: Live Debugging & Code Review
Reads unfamiliar code, identifies issues, and explains reasoning out loud in real time.
Why it matters: Most day-to-day engineering work is reading and fixing existing code, not writing greenfield features. A candidate's ability to reason through someone else's code under mild pressure is one of the strongest predictors of on-the-job performance.
Evaluation Method: During the live interview, present code with 2–3 embedded issues (a bug, a performance problem, a security gap) and have the candidate walk through it aloud.
Skill #3: System Design Judgment
Thinks through tradeoffs when architecting a solution, rather than defaulting to the first approach that comes to mind.
Why it matters: For mid-level and senior roles especially, the difference between a good and a great developer often shows up in how they weigh tradeoffs — scalability vs. speed, simplicity vs. flexibility — not in whether they know a specific framework.
Evaluation Method: Ask the candidate to sketch an architecture relevant to your actual stack and probe their reasoning, not their conclusion.
Skill #4: Written English & Async Communication
Communicates clearly in writing, without requiring a manager to fill in the gaps.
Why it matters: In a distributed team, most collaboration happens asynchronously in writing — Slack messages, PR comments, ticket updates. A developer who is technically strong but unclear in writing creates ongoing friction that a single spoken interview won't reveal.
Real-world scenario: A candidate interviews well verbally but sends vague, hard-to-follow async updates during the technical assessment. Six weeks into the engagement, this shows up as missed context and repeated clarifying meetings — the exact cost the vetting stage was meant to catch.
Evaluation Method: Run part of the assessment process over async written messages and evaluate clarity, not just correctness.
Skill #5: Initiative on Ambiguity
Asks clarifying questions or flags ambiguity, rather than guessing silently and moving on.
Why it matters: Remote work multiplies the cost of assumptions — a misunderstood requirement can go uncaught for days rather than being corrected in the next desk conversation. Developers who surface ambiguity early save far more time than they cost.
Evaluation Method: Leave a requirement in the technical assessment intentionally underspecified and note whether the candidate asks about it or guesses.
Skill #6: Reliability & Work History
Delivers consistently and communicates proactively when timelines shift.
Why it matters: Technical skill doesn't predict reliability. A brilliant developer who goes silent for three days during a blocker creates more risk than a solid mid-level developer who flags delays immediately.
Evaluation Method: Call at least one past client or manager directly — don't rely on written references — and ask specifically about deadline adherence and proactive communication.
Skill #7: Ownership Beyond the Ticket
Treats assigned work as something to see through, not just a task to close.
Why it matters: Developers who stop at "the ticket is technically done" generate more edge-case bugs and post-launch fixes than those who consider how their change affects the broader system before calling it finished.
Evaluation Method: Ask the candidate to describe a past project decision they'd make differently today. Strong candidates articulate specific lessons; weaker candidates tend to describe only what went right.
Bringing It All Together: The 7-Skill Scorecard
Score each candidate from 1–5 on all seven skills above. Candidates who score 28+ out of 35 are typically strong hires; scores below 21 usually indicate a mismatch worth a second look before extending an offer.
Running this process from scratch for every hire is exactly the workload that AI-powered recruitment & smart matching is built to remove — Simera's matching engine pre-screens candidates against this same framework, so you're interviewing finalists instead of building a vetting funnel. It's also one of the more direct ways to reduce hiring costs with remote talent, since less internal vetting time gets spent per hire without lowering the bar for who makes it to your shortlist.
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FAQ
1. What should I test before hiring a LATAM developer? Code quality, live debugging ability, system design judgment, written communication, initiative on ambiguous tasks, reliability, and ownership — technical skill alone isn't a reliable predictor of on-the-job success.
2. How long should the vetting process take? A thorough process — technical assessment through reference check — typically takes 1–2 weeks per candidate in-house. Pre-vetted platforms like Simera compress this to a few days by front-loading the assessment stages.
3. Is a certification enough to skip technical testing? No. Certifications validate exposure to a technology, not applied skill. Use them as an early filter, not a replacement for hands-on evaluation.
4. How do I fairly evaluate English communication? Focus on clarity and comprehension in writing, not accent in speech. Async written communication is often a stronger, less bias-prone signal than a single spoken interview.
5. Why hire vetted LATAM developers through Simera instead of vetting in-house? Simera candidates are pre-screened across this exact framework — technical skill, communication, and reliability — so you're interviewing finalists instead of building a vetting funnel from scratch.
6. What's the most common vetting mistake companies make? Relying only on a live interview. Interviews alone are highly susceptible to interviewer bias and don't reliably predict on-the-job output — pairing them with a scoped async assessment and a reference check catches what interviews miss.
Related reading
Colombia vs. Argentina vs. Brazil: Which Country Should You Hire Developers From?
Contractor vs. EOR: How to Legally Hire a Developer in LATAM
