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Describe a migration nobody wanted. How did you get it done without losing the team's trust?

Every migration story has the same technical answer and a different social one, and the social one is what is being scored. The sequencing that makes a migration reversible, the rollback that has to be real, and why the status page matters more than the tooling.

Updated Sep 2026 · Grounded in real AI infrastructure interview loops and written to a senior-engineer editorial bar, with every number worked and every diagram hand-built.

TL;DR: A migration is a trust problem wearing a technical costume. The technical part is well known: shadow the new path first, then move a small cohort, then move by cohort with a real rollback at every step, and keep both paths working until the last user is off. What decides whether it succeeds is different. Users have to hear about every problem from you before they hit it, which means a status page, a schedule they can plan against, and a message when the schedule slips. The rollback has to be exercised rather than documented, because a rollback nobody has run is a paragraph and not a plan. And the migration needs a stated end, since a half-finished migration is worse than either state and every organization has several. Tell the story with the cohort sequence, the one cohort that broke, and what you changed before moving the next one, because that recovery is the part that shows whether the plan had feedback in it.

How to approach it

Say what was being replaced and why, in one sentence each, and be honest if the reason was organizational rather than technical. Then the sequence, cohort by cohort, with the guard at each step. Then the failure, because there is always one. Then how users experienced it, which is the part most candidates omit entirely. Close with the number: how long it took against the estimate, and what the old path cost to keep alive in the meantime.

A strong answer

A typical situation: a platform team is moving 40 training teams from a homegrown job launcher to a scheduler with gang scheduling and quotas. Nobody asked for it. The launcher works. The reason is that the launcher cannot express a multi-node gang, so large jobs deadlock against each other, and the failure is invisible to the teams whose small jobs are fine.

That last sentence is the crux, and it generalizes. Migrations nobody wants are usually migrations where the pain is concentrated somewhere the users are not. Leading with the benefit to them when there is none is the fastest way to lose the room. Naming honestly who the migration helps, and what it costs the people you are asking to move, is what makes the rest of the conversation possible.

The sequence, with what each step is guarding against:

StepWhat runsThe guard
ShadowNew path receives a copy of real submissions and produces no side effectsCorrectness, without any user exposure
PilotOne friendly team, two weeks, both paths availableThe unknown unknowns, at a scale where you can hand-hold
Cohort 1Five teams with simple jobsThe common case, at enough volume to see rates rather than anecdotes
Cohort 2 to NGrouped by job shape, hardest lastEach group's specific breakage, discovered before the next group moves
FreezeOld path accepts no new usersBacksliding, which otherwise runs forever
DecommissionOld path off, with a dated announcement and a grace windowThe long tail that will otherwise never move

Migrations and Deprecations covers the mechanics of that ladder and the deprecation policy that makes the last two rows possible. The example here is a move to Gang Scheduling with Kueue and Volcano, which explains why a launcher that cannot express an all-or-nothing placement lets large jobs deadlock against each other. What the interviewer is scoring is narrower: whether each step could be undone, and whether you know what the guard was at each one.

The social half, which is where these stories are won or lost:

the rule: users learn about a problem from you, before it reaches them
  a status page for the migration, updated whether or not there is news
  a schedule with dates, published early, with the slip announced as soon as it is known
  a named person to ask, which is not a rotating queue

what this buys
  a team that hears "cohort 3 is delayed a week, here is why" stays cooperative
  a team whose job fails on Monday morning with no warning becomes an escalation, and the
  escalation costs more time than the entire delay would have

what to say about the cohort that broke
  name it, say what broke, say what you changed before moving cohort 4, and say whether you
  rolled that cohort back. A migration story with no rollback in it is either a very small
  migration or an incomplete telling
MIGRATION ORDER, BY WHAT A FAILURE COSTS quarantine pool nothing is running cheapest short-job pools one short job cheap one training pod at a job boundary moderate the rest of the fleet only after the first three held expensive Every migration has the same technical answer and a different social one, and the social one is scored. Keep the old path running longer than you want to. It buys goodwill cheaply.

The reversal condition: if the old path is causing outages now and cannot be repaired, the cohort ladder is too slow and the honest move is a hard cutover with a heavy support commitment. The tradeoff is real and worth stating: cohorts cost calendar time and preserve trust, a cutover costs trust and preserves calendar time. What makes a cutover survivable is the same thing that makes cohorts work, which is that people knew the date well ahead and had a person to ask. What makes it fail is discovering the cutover through a broken job.

What interviewers probe next

  • "How long did it take against your estimate?" Have both numbers. Migrations overrun, and a candidate who says theirs did not is either describing a small one or misremembering.
  • "What did keeping both paths cost?" Engineering time, duplicated infrastructure, and the bugs that only appear when two systems disagree. If you never estimated it, say so.
  • "Who did you move last, and why?" The hardest cohort, usually, and the reason is that moving them first would have stalled everything behind them.
  • "What did you leave behind?" Almost every migration leaves a residue: a compatibility shim, three teams that never moved, a flag that is still there. Naming it is more credible than claiming a clean finish.

Common mistakes

  • Selling a benefit the users do not get, when the honest framing is that the cost lands on them and the benefit lands elsewhere.
  • A rollback that was documented and never exercised, which is discovered at the worst moment.
  • Moving the hardest cohort first because it seemed brave, which stalls the whole sequence.
  • No dated end, so the old path survives for years and the organization pays for both.
  • Telling the story with no failure in it, which reads as either a trivial migration or an edited one.

Key takeaways

  • Shadow, pilot, cohorts grouped by job shape with the hardest last, freeze, then a dated decommission.
  • Every step reversible, and the rollback exercised at least once before it is needed.
  • Users hear about problems from you first: a status page, a published schedule, a named person.
  • State the honest reason, including when the benefit lands on someone other than the people moving.
  • Know what the migration overran by and what running both paths cost while it did.
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The concepts behind this question

Ranked by how closely each one overlaps this question's topic, so the first card is the thing to read if the answer above moved too fast.

Advanced
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Migrations and DeprecationsEvery infrastructure career contains a migration nobody wanted: the scheduler swap, the driver upgrade across a live fleet, the storage move while training runs are in flight, the deprecation of the launcher every team's scripts depend on. The behavioral round asks about one because it tests the skills that matter most and show least on a résumé: sequencing under risk, keeping a rollback real, moving people who have no reason to move, and knowing when to stop. This page gives the shape of a migration story that lands, two worked narratives from GPU fleet work, and the answers that sound like leadership and fail.
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UP NEXT ON YOUR JOURNEY
FEDITOR'S NOTE

Scored on the migration being reversible at every step, on the users learning about problems from you rather than from their jobs failing, and on naming what the migration cost.

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