How does your resume hold up for a DevOps Engineer role?
Paste a DevOps Engineer posting and your resume. Get the score, the gaps, and what this role's ATS screens actually check for.
"Familiar with AWS" with no services named is the most common gap on DevOps resumes — the service names are the actual signal, since "familiar with AWS" could mean anything from launching one EC2 instance to running a multi-account production estate. The role has also absorbed a lot of what used to be split across sysadmin, release engineering and site reliability, so postings now stack requirements from all three, and a resume that only covers one of them reads as narrower than the title suggests. Check yours against a real posting to see the gap precisely. The overlap with backend and platform engineering roles has grown too, which means a DevOps resume increasingly needs to prove infrastructure ownership specifically, not just adjacent coding ability.
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What this role's postings ask for
- AWS / GCP / Azure
- Docker
- Kubernetes
- Terraform / CloudFormation
- Jenkins / GitHub Actions / GitLab CI
- Linux administration
- Prometheus / Grafana / Datadog
- Bash / Python scripting
- Networking
- Incident response
- Ansible
- Cost optimization
See how often each of these actually appears in live postings →
Common mistakes on resumes for this role
- "Familiar with AWS" with no services named — S3, EC2, RDS, Lambda are the actual signal, not the acronym, and naming them is the difference between a claim and evidence.
- No infrastructure-as-code mention. The absence of Terraform or CloudFormation reads as manual, click-ops infrastructure in 2026, which most postings are explicitly trying to screen out.
- Incident and on-call work omitted even though it's core to the role and a strong differentiator — a specific incident, what broke, and what changed afterward says more than a monitoring tool listed alone.
- Bullets describe setup work ("configured CI/CD pipeline") with no before/after — deploy frequency, downtime, MTTR — which are the numbers this role is actually judged on.
- Cost work never mentioned, despite infrastructure cost ownership increasingly showing up as an explicit line in postings for this role.
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Weak vs. strong
Weak Managed CI/CD pipelines and cloud infrastructure.
Strong Migrated deploys to a Terraform-managed GitHub Actions pipeline, cutting release time from 45 minutes to 6 and eliminating manual rollbacks.
What "evidence" means for this role
For a DevOps resume, evidence is a before/after operational number — deploy time, MTTR, uptime, cost — attached to a specific tool or pipeline you named. "Managed CI/CD pipelines and cloud infrastructure" evidences that you touched infrastructure; it doesn't say whether anything got faster, safer or cheaper because of it. "Cutting release time from 45 minutes to 6" evidences the tool, the change, and the measurable result. SteadyCV's check flags exactly this pattern — a posting asking for reliability or deployment-speed improvements where your resume currently lists only the tools, not what changed when you used them. The same applies to networking claims — naming a specific problem solved (a VPC redesign, a latency issue traced to routing) evidences more than "networking" sitting alone in a skills list.
A closer look at the requirements that matter most
- Terraform / CloudFormation
- Infrastructure-as-code is close to a hard requirement now rather than a nice-to-have, because manually managed infrastructure at any real scale is treated as a liability by most engineering orgs. If you've written Terraform, say roughly how much of the infrastructure it covers — a handful of resources versus an entire account — since that scope is what the posting is actually trying to gauge.
- Incident response
- This requirement is screening for whether you've been the person paged at 3am and what you did with that experience, not whether you've read a runbook. One specific incident — what broke, how it was found, what changed afterward to prevent it — evidences on-call judgment that a monitoring-tool list alone can't.
- Kubernetes
- Kubernetes on a resume is often read as a scale signal more than a tool signal — it implies you've worked somewhere with enough services that manual orchestration stopped working. If your Kubernetes experience is limited to a single small cluster, that's still worth naming, but precisely, rather than letting it imply large-scale multi-cluster experience you don't have.
- Prometheus / Grafana / Datadog
- Monitoring tool names matter less than what you actually watched and acted on — postings ask for this to gauge whether you find out about problems from a dashboard or from a customer complaint. A specific alert you configured, or an incident a dashboard caught early, evidences the difference.
- Jenkins / GitHub Actions / GitLab CI
- The specific CI tool matters less than what the pipeline actually does — postings ask for it as a proxy for whether deploys are automated, tested and rolled back safely, or still partly manual. A bullet naming what stages your pipeline ran (tests, security scans, staged rollout) evidences more than the tool name alone.
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