One of seven role studies in the ATS Resume Keyword Study counts 3,518 job postings from 81 companies, term by term. Terms counted in more than one role are compared in the same-term comparison across roles.

Keyword study

What 134 DevOps and SRE Job Postings Actually Ask For

The dataset

Postings
134, after removing duplicates
Companies
41
Collected
2026-09-09, a one-day snapshot of open roles
Source
Public company job boards, via the Greenhouse job board API. Nothing scraped, nothing private; every figure can be re-derived from the same endpoint
Coverage
Weighted toward US technology companies; one ATS vendor
Role definition
Title names DevOps, SRE, platform or infrastructure engineering; managers excluded
Deduplication
Company, normalized title and content length
Terms measured
42
Unit
Share of postings naming a term at least once
Margin of error
95% interval, shown against each term
Analysis
ZoeVera, method v1.0

Download this study as CSV · Full method and limits

Before you apply

The aggregate is not your next application

One posting weights these 42 terms differently from all 134. Paste yours against it and see which of its words your resume never uses.

Check My Resume

134 open roles whose title names DevOps, SRE, platform engineering or infrastructure engineering, taken from 41 public company job boards and checked against 42 terms. Managers and program managers are not in it.

Each figure is the share of postings using a term at least once, so repetition inside one posting counts for nothing. At this sample size the ± column matters more than usual: intervals run to roughly eight points, which means neighboring rows are not meaningfully different. Read the bands, not the ranks.

All 42 terms, most common first

Top twenty shown; the remainder are tabulated by category below.

automation

81.3% ±6.6

AWS

75.4% ±7.3

scalability

72.4% ±7.6

Python

70.9% ±7.7

Kubernetes

70.1% ±7.8

observability

63.4% ±8.2

Terraform

62.7% ±8.2

networking

57.5% ±8.4

monitoring

55.2% ±8.4

infrastructure as code

52.2% ±8.5

incident response

50.7% ±8.5

CI/CD

50% ±8.5

Go

47% ±8.5

GCP / Google Cloud

43.3% ±8.4

on-call

42.5% ±8.4

Linux

38.8% ±8.3

SLO / SLA

35.1% ±8.1

Azure

30.6% ±7.8

Docker / containers

28.4% ±7.6

Grafana

27.6% ±7.6

Where this differs from the other studies

A named product reaches further here than in any earlier study. AWS is number 2 of 42 at 75.4%. Every other study we have run is below, and two of them already had a named product near the top, so this is a difference of degree, not a reversal:

StudyFirst named productRankShare
DevOps / SRE (this one)AWS2/4275.4%
security rolesAWS2/4046.7%
software engineeringAWS6/4541.3%
accounting rolesNetSuite12/3036.6%
account executiveSalesforce11/4329.2%
marketingSalesforce11/4423.1%
product managementFigma29/442.4%

Infrastructure hiring names its stack more heavily than product or sales hiring does. It does not name it more heavily than security hiring, which the 212-posting security study already showed.

A practice still beats every one of them. automation leads at 81.3%, above 75.4% for AWS and 70.1% for Kubernetes, and scalability (72.4%) outranks Kubernetes too. The pattern from the earlier studies is dented here, not overturned.

The generic word beats the branded one, again. Observability is named in 63.4% of postings against Grafana 27.6%, Prometheus 22.4% and Datadog 17.9%. That is the same shape as SIEM against Splunk in the security study, where the generic term led by 4 times. Carry both forms on a resume.

The previous generation of tooling has almost gone. Jenkins appears in 3% of these postings, Chef 3.7%, and Puppet in 1 of the 134. Against that, Terraform is at 62.7%, ArgoCD 24.6% and GitHub Actions 19.4%. GitHub Actions is named roughly 6 times as often as Jenkins.

SRE vocabulary is real vocabulary. Toil appears in 26.9% and SLO, SLA or SLI in 35.1%, both ahead of several household tool names. Postmortems reach 12.7% and chaos engineering 6.7%.

Want this for one posting rather than the aggregate? Put your resume and that posting through the checker and it names the terms the posting uses that you do not.

Do not delete Jenkins from your resume

The finding that Jenkins, Chef and Puppet have thinned out is real for this corpus and misleading outside it. These are 41 companies hiring through one modern ATS, overwhelmingly venture-funded product companies with recent infrastructure. They are the least likely employers in the market to be running a decade-old CI server.

Banks, insurers, telcos, government departments, defense contractors and their integrators are absent from this sample, and Jenkins, Chef, Puppet and Ansible run a great deal of production infrastructure inside them. Those employers also hire more DevOps engineers than the companies here do. If your experience is on that stack, it is an asset in the market this study cannot see.

The defensible reading: when applying to product companies, lead with Terraform, Kubernetes and the cloud you know. Keep the older stack on the page. It costs nothing and it is the entire requirement somewhere else.

By category, with intervals

Cloud & infrastructure

TermPostingsShare±95%
AWS10175.4%±7.3
Kubernetes9470.1%±7.8
networking7757.5%±8.4
GCP / Google Cloud5843.3%±8.4
Linux5238.8%±8.3
Azure4130.6%±7.8
Docker / containers3828.4%±7.6
serverless86%±4

Provisioning & delivery

TermPostingsShare±95%
Terraform8462.7%±8.2
infrastructure as code7052.2%±8.5
CI/CD6750%±8.5
ArgoCD3324.6%±7.3
GitHub Actions2619.4%±6.7
Ansible2417.9%±6.5
Helm1914.2%±5.9
GitLab1410.4%±5.2
Chef53.7%±3.2
Jenkins43%±2.9
Puppet10.7%±1.4

Observability

TermPostingsShare±95%
observability8563.4%±8.2
monitoring7455.2%±8.4
Grafana3727.6%±7.6
logging3324.6%±7.3
Prometheus3022.4%±7.1
distributed tracing2720.1%±6.8
Datadog2417.9%±6.5
PagerDuty107.5%±4.5

Reliability practice

TermPostingsShare±95%
automation10981.3%±6.6
scalability9772.4%±7.6
incident response6850.7%±8.5
on-call5742.5%±8.4
SLO / SLA4735.1%±8.1
toil reduction3626.9%±7.5
postmortems1712.7%±5.6
cost optimization1511.2%±5.3
capacity planning139.7%±5
chaos engineering96.7%±4.2
disaster recovery43%±2.9

Languages

TermPostingsShare±95%
Python9570.9%±7.7
Go6347%±8.5
Bash / shell2820.9%±6.9
Rust75.2%±3.8

How this was counted

Which postings counted. Title match on DevOps, SRE, site reliability, platform engineer or infrastructure engineer. Managers, directors, technical program managers and SkillBridge interns are excluded, twelve postings, because a posting for someone who runs the team asks for different things than a posting for someone on it.

One term needed care. A bare match on “Go” also catches “go to market” and “go above and beyond”, which overstated it by about four and a half points. It is matched case-sensitively with a negative lookahead, the same handling the software engineering study uses. Every other term was checked loose against strict and came back identical, including Helm, which carries no “at the helm” contamination in this corpus.

What this cannot tell you. 41 companies, one ATS vendor, mostly US and mostly venture-funded. Not a random sample of infrastructure jobs. Terms outside the 42-term list were not counted, so nothing here is evidence that a missing term does not matter. No certification was measured at all. And it is one day's snapshot of open roles, 2026-09-09, not a trend line.

Boards these came from

adyen · affirm · anaplan · anthropic · applovin · asana · braze · carta · chime · cloudflare · coinbase · cultureamp · databricks · discord · duolingo · elastic · faire · fivetran · flexport · gemini · gitlab · gympass · impact · intercom · mongodb · okta · oscar · pagerduty · pinterest · postman · pushpay · reddit · ridgeline · ripple · smartsheet · stripe · twilio · vercel · webflow · zocdoc · zscaler

What a figure here means

A percentage is the share of the 134 postings in this sample that name the term at least once. It is not the share of all employers that ask for it, a cutoff an applicant tracking system applies, or a measure of your chances of an interview.

The 95% interval shows sampling error only. It does not correct for which companies publish on the job boards it draws from or for the one-day snapshot. A larger sample for one role says nothing about which role is more in demand or more important.

Version history

  • 2026-09-10: published, from postings collected 2026-09-09.

The table as it stands: 134 postings from 41 companies, 42 terms, method v1.0.

No figure on this page has been corrected. Every withdrawn row and corrected figure across the studies is listed in the corrections log. The analysis script that built this table and the collector it reads from are published as plain text.

How to cite this study

Quote any figure on this page. If you do, link back to it so readers can see the sample and its limits rather than the number alone.

General citation

ZoeVera, “What 134 DevOps and SRE Job Postings Actually Ask For” (method v1.0, data collected 2026-09-09). https://www.zoevera.com/resume/devops-sre-job-description-keywords

APA style

ZoeVera. (2026-09-10). What 134 DevOps and SRE Job Postings Actually Ask For. https://www.zoevera.com/resume/devops-sre-job-description-keywords

MLA style

ZoeVera. “What 134 DevOps and SRE Job Postings Actually Ask For.” ZoeVera, 2026-09-10, www.zoevera.com/resume/devops-sre-job-description-keywords.

Chicago style

ZoeVera. “What 134 DevOps and SRE Job Postings Actually Ask For.” ZoeVera, 2026-09-10. https://www.zoevera.com/resume/devops-sre-job-description-keywords.

Before you apply

The aggregate is not your next application

One posting weights these 42 terms differently from all 134. Paste yours against it and see which of its words your resume never uses.

Check My Resume

Or read the software engineering corpus · the security equivalent

The rest of the research

This role is one corpus of seven

The study hub holds the method, every role's figures, the limits of each sample, and the full dataset as a CSV.

Back to the full 3,518-posting study →

DevOps and SRE Job Description Keywords: 134 Postings