What 134 DevOps and SRE Job Postings Actually Ask For

134 postings · 41 company boards · read 2026-09-09 · every judgement call is written out below

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 neighbouring 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.

01automation

81.3% ±6.6

02AWS

75.4% ±7.3

03scalability

72.4% ±7.6

04Python

70.9% ±7.7

05Kubernetes

70.1% ±7.8

06observability

63.4% ±8.2

07Terraform

62.7% ±8.2

08networking

57.5% ±8.4

09monitoring

55.2% ±8.4

10infrastructure as code

52.2% ±8.5

11incident response

50.7% ±8.5

12CI/CD

50% ±8.5

13Go

47% ±8.5

14GCP / Google Cloud

43.3% ±8.4

15on-call

42.5% ±8.4

16Linux

38.8% ±8.3

17SLO / SLA

35.1% ±8.1

18Azure

30.6% ±7.8

19Docker / containers

28.4% ±7.6

20Grafana

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 executiveSalesforce11/4429.2%
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 free 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, defence 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

Where the postings came from. The Greenhouse job board API, published by companies so their own careers pages can render their listings. Nothing scraped, nothing private. The collector and the analyzer are both in the repository, so these numbers can be reproduced against the same endpoint.

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.

Duplicates. One requisition advertised in several cities returns several records. Company, normalized title and content length together decide whether two are the same posting; the rule is shared with the other studies so the sample sizes stay comparable.

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

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 DevOps keyword guide · the software engineering corpus · where PM postings put their tools · the security equivalent · account executive terms, counted · marketing postings, measured · the accounting corpus

What 134 DevOps and SRE Job Postings Actually Ask For