DevOps hiring for telecom platforms: what separates a real platform engineer
The résumé says Terraform, Kubernetes, Prometheus, Jenkins. So does every other résumé on your desk. Here's what I actually screen for before a platform engineer gets anywhere near a carrier-grade system.
The keyword list tells you nothing
Every DevOps candidate in telecom has the same eight tools on their résumé. Terraform. Kubernetes. Prometheus. Grafana. Jenkins or GitLab CI. Ansible. Docker. Some flavor of cloud — AWS, Azure, or a vendor-specific OSS/BSS stack. That list is table stakes, not a differentiator, and it's not what I screen against.
What I screen against is deployment history. Not "have you used Kubernetes" but "walk me through the worst incident you owned in a Kubernetes cluster, at what hour, and what you changed afterward so it didn't happen twice." The tool list tells you what a candidate has touched. The incident story tells you what they understand.
On-call is the filter, not the certification
A candidate who has written Terraform for two years but never carried a pager has not done the job you're hiring for. Infrastructure-as-code without production ownership is a different skill — closer to configuration authoring than platform engineering. The people who can actually keep a carrier network running are the ones who've been woken up by a page, opened a dashboard they didn't fully trust, and made a call under pressure with incomplete information.
I ask candidates to describe their on-call rotation directly: how often they were paged, what the escalation path looked like, and one page that turned out to be a false alarm versus one that was real. Candidates who've genuinely carried the pager answer this without hesitation, with specifics about tooling, teammates, and what the alert actually looked like on screen. Candidates who haven't tend to generalize, or shift the story to something a teammate did.
Carrier-grade reliability is a different mental model
Five-nines thinking isn't a slide in a deck — it's a set of instincts about blast radius, graceful degradation, and failure isolation that shows up in how someone designs a rollout, not in how they define "five nines" when asked. A platform engineer who's worked on consumer SaaS optimizes for shipping fast and recovering fast. A platform engineer who's worked on telecom infrastructure — call routing, billing, network element management — has internalized that some failures cannot simply be rolled back, because the transaction already happened, the call already dropped, or the billing cycle already closed.
What this looks like in practice
Strong candidates talk about canary deployments with real traffic-percentage gating, not just blue/green as a checkbox. They talk about circuit breakers and degraded-mode behavior — what the system does when a downstream dependency is unhealthy, not just whether it's "up." They talk about blast radius explicitly: which customers, which region, which network element type is exposed if this specific change goes wrong. If a candidate can't answer "what's the blast radius of this deploy" without a long pause, that's a real signal.
Observability they built versus tools they listed
Almost every candidate will say "Prometheus and Grafana" when asked about observability. That's not the interesting question. The interesting question is: what SLOs did you define, who agreed to them, and what happened operationally when you breached one. Candidates who've actually built observability from the ground up can describe the specific alert thresholds they chose, why they chose them, and an alert they later killed because it was noisy and nobody trusted it anymore.
Distributed tracing is a good secondary probe, especially for platforms with a request path across multiple network functions or microservices. Someone who's actually instrumented tracing in a production system can describe a specific latency problem they traced end-to-end and where the fix landed. Someone who's only seen tracing dashboards in a demo environment tends to describe the tool, not a diagnosis.
CI/CD when rollback isn't free
In most software shops, CI/CD discipline gets tested by asking about deployment frequency and automated testing coverage. In telecom, the harder and more revealing question is what happens when a deploy can't just be rolled back — a billing run that's already partially processed, a network configuration push that's already propagated to live network elements, a schema migration that's already touched production data. Strong candidates have a real answer involving feature flags, staged rollouts with explicit go/no-go gates, and forward-fix strategies rather than a rollback-first reflex borrowed from stateless web services.
IaC discipline matters here too, but not as a yes/no question. I want to know whether infrastructure changes go through the same review and testing rigor as application code, or whether Terraform is being used as a faster way to click through a console. The difference shows up in whether a candidate can describe a peer review that caught a real problem in their IaC before it hit production.
Six probes hiring managers can use directly
These are the questions I lean on most often when screening platform, DevOps, and SRE candidates for telecom infrastructure roles. Each one is designed to separate lived experience from résumé language.
- Walk me through your on-call rotation — page volume, escalation path, and one real incident. A strong answer is specific about tooling, timing, and what they personally did, not a generalized description of "the team."
- Describe a deploy you couldn't simply roll back. What did you do instead? A strong answer involves forward-fix strategy, feature flags, or staged exposure — not a generic rollback script.
- What's the blast radius of your last production change, and how did you know? A strong answer names specific customers, regions, or system components affected, and how that scope was verified before the change shipped.
- Tell me about an alert you killed because it was noisy. Why did it exist in the first place? A strong answer shows judgment about signal versus noise, and ownership of the SLO or threshold behind the original alert.
- Describe the worst state you found a cluster or system in, and how you diagnosed it live. A strong answer includes the specific commands, dashboards, or logs they reached for first, not just the eventual fix.
- What's the difference between "the system is up" and "the system is healthy" on your last platform? A strong answer distinguishes availability from degraded-mode behavior and explains how that distinction was monitored.
How TechNet screens differently
I lead technical screening myself, as an electrical engineer, against real deployment history — not keyword density. Before a platform or DevOps candidate reaches your team, I've already asked the on-call question, the blast-radius question, and the rollback question, and I've listened for the difference between someone describing a tool and someone describing a system they were personally responsible for keeping alive. That's the screen your interview loop should be able to trust, so your engineers spend their time validating fit and depth, not re-discovering that a candidate has never carried a pager.
Hiring platform engineers for telecom infrastructure?
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