Why pre-screen support developers before the technical panel
This job is mostly reading code somebody else wrote, under time pressure, while a customer waits for an update. Two abilities decide it: whether they can isolate a fault in an unfamiliar system, and whether they can tell a frustrated customer what is happening without either jargon or false promises. A short screen asks about the bug that took them longest to find.
What actually matters when screening Support Developer candidates
- 01
Technical proficiency
Check fluency in reading unfamiliar codebases, writing SQL against production replicas, tracing stack traces, and shipping patches or hotfixes in the stack they name (Java, Python, .NET).
- 02
Systems and trade-offs
Probe how they decide between a customer-specific workaround, a config change, and a core fix, and how they weigh regression risk on a hotfix branch.
- 03
Evidence and rigour
Test their diagnostic evidence trail: log aggregation queries (Splunk, Kibana, Datadog), APM traces, database state dumps, and how they confirm root cause rather than correlation.
- 04
Collaboration and communication
Assess handling of an escalated ticket: updating an angry customer, writing the reproduction steps engineering will accept in Jira, and feeding known issues back to support docs.
Pre-screening questions to ask Support Developer candidates
12 questions grouped by what they test. Ask the same set in every screen and score answers on a consistent scale, or send them as an async video screen and compare answers side by side.
Diagnoses real bugs
3 questions01Can you describe a difficult bug you had to track down?
Listen forA hard fault with the diagnosis path described, including the false leads and the actual cause.
Bugs described by symptom only, or causes never established before the ticket was closed.
02What is your experience debugging code you did not write?
Listen forComfort reading unfamiliar systems, using logs, traces and reproduction to narrow the problem.
Reliance on the original author, or a need for complete context before starting.
03Can you describe improving the performance or reliability of a system?
Listen forA measured improvement with the bottleneck found through profiling rather than assumption.
Improvements claimed without measurement, or changes made speculatively.
Sound practice
4 questions04Which programming languages are you strongest in?
Listen forReal depth in the languages your product uses, with an honest assessment of the others.
Long lists with no depth, or claimed fluency in everything relevant.
05What is your experience with databases and query debugging?
Listen forAble to read query plans and diagnose slow queries, not just write basic statements.
Database work escalated by default, or performance problems attributed to the database itself.
06How do you work with version control day to day?
Listen forComfortable with branching, history and bisecting to find when a defect was introduced.
Basic commit and push only, or no use of history when investigating a regression.
07How do you ensure the quality of a fix before it ships?
Listen forRegression tests written for the fault, with the fix verified against the original reproduction.
Fixes shipped without a test, or verification limited to the symptom disappearing.
Explains to customers
2 questions08How do you explain a technical problem to a non-technical customer?
Listen forPlain language with an honest position on cause and timing, without over-promising a fix.
Jargon used with customers, or fix dates promised that depend on other teams.
09What experience do you have writing technical documentation?
Listen forRoot cause notes and known issue articles written so other engineers avoid the same investigation.
Findings kept in tickets, or documentation treated as work for somebody else.
Handles pressure
3 questions10How do you prioritise when you are assigned several issues at once?
Listen forImpact and severity weighed rather than order of arrival, with expectations reset where needed.
Work handled first in first out, or the loudest customer always taken first.
11How would you handle an urgent issue arising outside working hours?
Listen forService restored first, escalation used appropriately, and the customer kept informed throughout.
Deep investigation attempted alone at night, or escalation avoided out of pride.
12Can you describe using your engineering skills to resolve a critical incident?
Listen forA real incident with a workaround delivered quickly and a proper fix following afterwards.
Temporary workarounds left permanently, or no follow-up after the immediate pressure passed.
How to score responses
Score every candidate on the same four criteria immediately after the screen. At this stage you are shortlisting for panel interviews, not making the final call.
Technical proficiency
35%5Reads someone else's code cold, reproduces the defect locally, and lands a tested patch or scripted workaround the same day.
Systems and trade-offs
25%5Separates the unblock-now action from the permanent fix, and names the tech debt or backport risk each choice creates.
Evidence and rigour
25%5Cites the specific log line, query result, or trace span that proved cause, and describes how they ruled out alternatives.
Collaboration and communication
15%5Writes reproduction steps product engineers act on without follow-up, and keeps the customer informed on a stated cadence.
The job is reading code somebody else wrote while a customer waits. A one-way video screen asks about that.
Try it on HirevireScreening FAQ
Process basics
How long should a pre-screening round for this role take?
Ten to fifteen minutes across eight to ten questions, answered async. Enough to establish their debugging experience, test their engineering practice, and hear how they talk to customers.
How does this differ from a product engineer screen?
Weight diagnosis and communication far more heavily than design skill. The job is finding faults in code they did not write and explaining them to people who did not write it either.
Evaluating answers
What is the strongest signal when screening this role?
The bug that took longest. Strong support developers describe the false leads and how they narrowed it down. Anyone whose examples were quick fixes has not worked a hard one.
How do I judge their customer communication?
Listen for how they explain a technical cause without jargon and without promising a fix date they cannot control. Both failures damage trust in different ways.
Go deeper on this role
Sanat has been hiring since 2012 and watching the recruitment industry change up close ever since, and turned that screening process into Hirevire's video screening platform. LinkedIn
