Hiring guide

How to Interview Platform Engineers

Hire for product thinking, not just infrastructure

Platform engineering is easy to interview badly, because the obvious questions — Kubernetes trivia, cloud service names — miss the point of the role. The best platform engineers treat the platform as a product with internal customers. Their job is to turn developer pain into paved paths, reduce cognitive load and drive adoption, and to show leadership the value of that work. Screen for that mindset alongside the technical core, or you will hire someone who builds an elegant platform nobody uses.

Test golden-path design

The clearest signal in a platform interview is how someone designs a golden path. Ask them to build a template for deploying a microservice: what does it include by default — CI pipeline, observability scaffolding, deployment manifests, service-catalogue registration — and, critically, what do they leave out? Strong candidates optimise for adoption and low cognitive load, not for cramming in every feature. They think about the developer using the platform, not just the platform itself.

Assess reliability the way it happens

Maintaining reliability through monitoring and observability is core to the role, so test it with realistic scenarios rather than trivia: a failing rollout, a noisy alert, a service degrading under load. Look at how they design a monitoring strategy — the sort you would build with Prometheus and Grafana — how they reason about failure modes, and whether they can keep the platform reliable without making it painful to use. Pair this with the technical foundations: infrastructure-as-code, automation and security. Our Kubernetes hiring and AWS hiring guides cover the specifics there.

Be clear about platform versus SRE

Platform engineering and SRE overlap on tooling but serve different customers. Platform engineering serves internal developers, building the paved paths teams use to ship. SRE prioritises end-user reliability: incident response, and setting and maintaining service-level objectives. Many roles are a blend, which is fine — but decide which one you actually need before you interview, and be explicit in the brief. A mismatch here is one of the most common reasons these searches stall.

Move fast, and close

Strong platform engineers are scarce and in demand, so keep the loop short, give feedback quickly, and make sure every candidate hears from a real person. Speed is free, and it wins offers.

The platform hire that pays for itself is the engineer who makes every other team faster — not the one with the longest tool list. That judgement is what we screen for. If you are hiring, see how we hire DevOps and platform engineers and our Kubernetes and AWS hiring guides, or talk to us.

FAQ

Frequently asked questions

What should you test when interviewing a platform engineer?

Test product thinking as much as infrastructure skill. Platform engineers treat the platform as a product with internal customers, so screen for how they turn developer pain into golden paths, reduce cognitive load and drive adoption, alongside the technical core: infrastructure-as-code, automation, security, and reliability through monitoring and observability.

What is the difference between a platform engineer and an SRE?

They overlap on tooling but differ in who they serve. Platform engineering serves internal developers, building the paved paths and internal platform teams use to ship. SRE prioritises end-user reliability: incident response, and setting and maintaining SLOs. Screen for the one your role actually needs, or be explicit that it is a blend.

How do you assess golden-path design?

Ask a candidate to design a template for deploying a microservice: what it includes by default (CI, observability scaffolding, deployment manifests, service-catalogue registration) and, just as importantly, what they deliberately leave out. Good platform engineers optimise for adoption and low cognitive load, not maximal features.

How do you interview for platform reliability skills?

Use realistic scenarios: a failing rollout, a noisy alert, a service degrading under load. Assess how they design monitoring and observability (for example with Prometheus and Grafana), how they reason about failure modes, and whether they can keep the platform reliable without making it painful to use.

Ready to build your team?

Tell us what you’re hiring for and we’ll come back with a plan, and usually a technically screened shortlist faster than you’d expect.