Kubernetes and infrastructure engineers for enterprise software delivery

Why Kubernetes hiring at Replicated is different

Replicated builds the platform software vendors use to distribute Kubernetes applications into customer environments, which makes deep Kubernetes expertise the product rather than a supporting skill. Growing the engineering team meant holding a strict technical bar on exactly that expertise, with no room to trade it for general strength.

Kubernetes depth is also easy to claim and hard to verify. A resume that lists it might mean an engineer who ran production through a genuinely bad quarter, or an engineer who wrote manifests against a managed service that absorbed every hard problem for them. Both read identically at the screen. The difference shows up only in how a candidate talks about failure: what they have watched break, what they instrumented afterwards, and what they would not do again.

Why cost per hire was part of the brief

The second constraint was economic. Replicated needed the hires immediately and needed cost per hire to stay controlled, which are the two things a contingency search is worst at holding together. A per-hire fee on a scarce senior profile is exactly the search where the fee runs highest, so the skill bar and the budget pull against each other from the first requisition.

The searches OutScout ran

Replicated ran the work on a pre-purchased multi-hire plan instead, agreed before the searches opened, which kept the spend under what on-demand agency fees would have cost and let the team meet immediate needs without renegotiating each time a role landed. A talent partner calibrated the searches against the specific Kubernetes and infrastructure depth the product demands, screened for operated experience rather than exposure, and put a short list in front of the engineering team instead of a long one. That is what makes a specialized search survivable for a team that still has to ship.

Why verified Kubernetes depth is scarce

The pool of engineers who have run Kubernetes in production is much smaller than the pool who can describe it, and every infrastructure company in the market is hiring against the same narrow set. Sorting the two apart is the search. Doing it without burning the engineering team’s calendar on false positives is why the profile is worth running externally.