Business Challenge
The client was executing multiple cloud transformation programs at once across APAC, each on an aggressive delivery timeline set by the underlying client contracts, not by how long good hiring normally takes. That created a constant, overlapping need for cloud engineers, architects and platform specialists, the kind of sustained volume that overwhelms a standard hiring process built to fill one requisition at a time. Every week a seat stayed open pushed a go-live date, and the client had no internal bench deep enough to absorb that pressure across several programmes simultaneously.
Our Solution
We put our dedicated cloud recruitment practice on the account and opened up our existing cloud talent network rather than starting sourcing from zero for every requisition. AI-enabled screening filtered candidates against each programme's specific technical bar, cloud platform, migration pattern, security posture, before a single profile reached the client, while specialised cloud recruiters kept a continuous pipeline moving so the search for the next hire started well before the current one closed.
Our Approach
We sat with programme leads across the APAC portfolio to translate each transformation workstream into a concrete skills profile, rather than treating "cloud engineer" as one generic requisition.
Our cloud practice ran sourcing as an always-on pipeline instead of a per-role search, drawing on a pre-qualified network built specifically for cloud and platform talent.
Every profile was filtered against the receiving programme's technical bar before submission, keeping the interview-to-offer ratio high and the client's time spent on unqualified candidates near zero.
Offer-stage engagement and onboarding support kept the offer-to-join ratio strong across an 8-month engagement that never had a quiet month.
Client Voice
“They didn't just fill requisitions, they understood which programme each hire was going into and screened for that specific technical bar before we ever saw a profile.”
— Director – Cloud & Digital Transformation
The Outcome
Across the 8-month engagement, the continuous pipeline model meant the client never had to pause a workstream waiting on headcount, a structural difference from the stop-start hiring cycle that had shaped their previous cloud programmes.
