policy-as-code jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, policy-as-code appears in 432 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning policy-as-code, with demand share up 11.3% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
432
Demand vs prior month
up 11.3% vs the prior 4 weeks
Top role · 11.3% of skill postings
Top hiring metro
San Francisco

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Frequently asked questions about policy-as-code

+Is policy-as-code in demand in 2026?

Yes. policy-as-code appears in 432 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning policy-as-code (11.3% of all postings mentioning policy-as-code).

+What jobs require policy-as-code?

According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning policy-as-code are Infrastructure Security Engineer (17.2% of that role’s postings mention policy-as-code), Data Security Engineer (11.5% of that role’s postings mention policy-as-code), GRC Engineer (9.1% of that role’s postings mention policy-as-code).

+What skills are commonly paired with policy-as-code?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), policy-as-code most often appears alongside Terraform, CI/CD, AWS, Python, Kubernetes.

+Where is policy-as-code most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring policy-as-code are San Francisco, New York City, London, Bengaluru, Toronto, according to the Skillenai jobs index.

+How can I keep up with new policy-as-code content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning policy-as-code alongside the jobs index. You can subscribe to a daily email digest of new policy-as-code content from your Skillenai account.

+Which skills come before and after policy-as-code?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring policy-as-code — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around policy-as-code

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before policy-as-code

Before policy-as-codeterraform → policy-as-code: 3 observed employer moves with this skill pairAnsible → policy-as-code: 3 observed employer moves with this skill pairdocker → policy-as-code: 2 observed employer moves with this skill pairAWS → policy-as-code: 2 observed employer moves with this skill pairHelm → policy-as-code: 2 observed employer moves with this skill pairOpenShift → policy-as-code: 1 observed employer moves with this skill pairhybrid and multi-cloud architectures → policy-as-code: 1 observed employer moves with this skill pairOAuth2 → policy-as-code: 1 observed employer moves with this skill pairpolicy-as-co…terraform: 3 movesterraform3 movesAnsible: 3 movesAnsible3 movesdocker: 2 movesdocker2 movesAWS: 2 movesAWS2 movesHelm: 2 movesHelm2 movesOpenShift: 1 movesOpenShift1 moveshybrid and multi-cloud architectures: 1 moveshybrid andmulti-cloudarchitectures1 movesOAuth2: 1 movesOAuth21 moves

Skills after policy-as-code

After policy-as-codepolicy-as-code → Jenkins: 1 observed employer moves with this skill pairpolicy-as-code → Figma: 1 observed employer moves with this skill pairpolicy-as-code → Jira: 1 observed employer moves with this skill pairpolicy-as-co…Jenkins: 1 movesJenkins1 movesFigma: 1 movesFigma1 movesJira: 1 movesJira1 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: terraform3
Before: Ansible3
Before: docker2
Before: AWS2
Before: Helm2
Before: OpenShift1
Before: hybrid and multi-cloud architectures1
Before: OAuth21
After: Jenkins1
After: Figma1
After: Jira1

Roles most likely to require policy-as-code

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Infrastructure Security Engineer1117.2%
Data Security Engineer311.5%
GRC Engineer29.1%
Platform Security Engineer48.3%
DevSecOps Engineer247.3%
IAM Engineer46.7%
Cloud Security Architect36.2%
Cloud Security Engineer175.9%
Cybersecurity Architect45.5%
Information Security Architect14.3%

Roles with the most policy-as-code postings

RolePostings mentioning skillShare of skill postings
Software Engineer4911.3%
Security Engineer4811.1%
DevSecOps Engineer245.6%
Cloud Security Engineer173.9%
Platform Engineer163.7%
DevOps Engineer133.0%
Cloud Engineer122.8%
Product Security Engineer122.8%
Infrastructure Security Engineer112.5%
Infrastructure Engineer102.3%

Top companies posting jobs requiring policy-as-code

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring policy-as-code
CompanyPostings · 90 days
Sezzle9
Cisco9
Capital One6
Five96
Ebury6
BMO6
Fiserv5
Affirm5
Gitlab5
Truist4

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for policy-as-code

NamePostingsShare
San Francisco235.3%
New York City194.4%
London92.1%
Bengaluru71.6%
Toronto71.6%
San Jose61.4%
Valencia61.4%
Washington61.4%
Austin51.2%

Skills commonly paired with policy-as-code

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning policy-as-code by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s policy-as-code postings by all policy-as-code postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.2% to 0.2%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,595 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.

source
Skillenai jobs index, deduplicated daily
entity_id
8e89bc9079364124
data_as_of
2026-09-30
window_days
90
Hiring engineers who use policy-as-code?

The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index