KMS jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, KMS appears in 261 job postings indexed by Skillenai over the past 90 days — Security Engineer has the most postings mentioning KMS, with demand share up 16.8% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
261
Demand vs prior month
up 16.8% vs the prior 4 weeks
Top role · 11.9% of skill postings
Top hiring metro
Bengaluru

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Frequently asked questions about KMS

+Is KMS in demand in 2026?

Yes. KMS appears in 261 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Security Engineer accounts for the most postings mentioning KMS (11.9% of all postings mentioning KMS).

+What jobs require KMS?

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 KMS are Infrastructure Security Engineer (9.4% of that role’s postings mention KMS), Cloud Systems Engineer (9.4% of that role’s postings mention KMS), Cloud Security Engineer (8.0% of that role’s postings mention KMS).

+What skills are commonly paired with KMS?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), KMS most often appears alongside AWS, IAM, Terraform, Kubernetes, VPC.

+Where is KMS most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring KMS are Bengaluru, Singapore, San Carlos, London, New York City, according to the Skillenai jobs index.

+How can I keep up with new KMS content and jobs?

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

+Which skills come before and after KMS?

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 KMS — last 90 days

Career paths around KMS

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before KMS

Before KMSterraform → KMS: 17 observed employer moves with this skill pairpython → KMS: 16 observed employer moves with this skill pairdocker → KMS: 14 observed employer moves with this skill pairJenkins → KMS: 14 observed employer moves with this skill pairAWS → KMS: 11 observed employer moves with this skill pairPrometheus → KMS: 10 observed employer moves with this skill pairkubernetes → KMS: 9 observed employer moves with this skill pairCloudWatch → KMS: 8 observed employer moves with this skill pairKMSterraform: 17 movesterraform17 movespython: 16 movespython16 movesdocker: 14 movesdocker14 movesJenkins: 14 movesJenkins14 movesAWS: 11 movesAWS11 movesPrometheus: 10 movesPrometheus10 moveskubernetes: 9 moveskubernetes9 movesCloudWatch: 8 movesCloudWatch8 moves

Skills after KMS

After KMSKMS → Azure DevOps: 8 observed employer moves with this skill pairKMS → Grafana: 6 observed employer moves with this skill pairKMS → Prometheus: 6 observed employer moves with this skill pairKMS → python: 6 observed employer moves with this skill pairKMS → kubernetes: 6 observed employer moves with this skill pairKMS → Azure Databricks: 5 observed employer moves with this skill pairKMS → Azure Data Factory: 5 observed employer moves with this skill pairKMS → docker: 5 observed employer moves with this skill pairKMSAzure DevOps: 8 movesAzure DevOps8 movesGrafana: 6 movesGrafana6 movesPrometheus: 6 movesPrometheus6 movespython: 6 movespython6 moveskubernetes: 6 moveskubernetes6 movesAzure Databricks: 5 movesAzure Databricks5 movesAzure Data Factory: 5 movesAzure Data Factory5 movesdocker: 5 movesdocker5 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: terraform17
Before: python16
Before: docker14
Before: Jenkins14
Before: AWS11
Before: Prometheus10
Before: kubernetes9
Before: CloudWatch8
After: Azure DevOps8
After: Grafana6
After: Prometheus6
After: python6
After: kubernetes6
After: Azure Databricks5
After: Azure Data Factory5
After: docker5

Roles most likely to require KMS

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

RolePostings mentioning skill% of role postings mentioning skill
Infrastructure Security Engineer69.4%
Cloud Systems Engineer39.4%
Cloud Security Engineer238.0%
Security Platform Engineer27.7%
Security Consultant26.2%
Cloud Infrastructure Engineer115.6%
Data Engineering Director45.6%
Data Security Engineer13.8%
Database Administrator (DBA)13.4%
Java Backend Developer12.6%

Roles with the most KMS postings

RolePostings mentioning skillShare of skill postings
Security Engineer3111.9%
Software Engineer2610.0%
DevOps Engineer249.2%
Cloud Security Engineer238.8%
Cloud Infrastructure Engineer114.2%
Platform Engineer83.1%
Infrastructure Security Engineer62.3%
Cloud Architect51.9%
Cloud Engineer41.5%
Cryptography Engineer41.5%

Top companies posting jobs requiring KMS

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

Top companies posting jobs requiring KMS
CompanyPostings · 90 days
BeaconOS9
Grab8
LastPass7
Quantiphi5
Renesas4
Freshworks4
DISCO4
Pliant3
Barclays3
Swile3

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 KMS

NamePostingsShare
Bengaluru103.8%
Singapore103.8%
San Carlos93.4%
London72.7%
New York City72.7%
Los Angeles62.3%
Pune62.3%
Austin51.9%
Sunnyvale41.5%

Skills commonly paired with KMS

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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 KMS by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s KMS postings by all KMS 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: 0.1% to 0.1%. 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
0bed8f9f79eeb5ee
data_as_of
2026-09-30
window_days
90
Hiring engineers who use KMS?

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