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

As of 2026-10-29, patching appears in 496 job postings indexed by Skillenai over the past 90 days — Database Administrator has the most postings mentioning patching, with demand share down 6.8% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-29

Postings · last 90 days
496
Demand vs prior month
down 6.8% vs the prior 4 weeks
Top role · 9.1% of skill postings
Top hiring metro
Washington

Which roles want patching?

Upload your resume and Skillenai will show which roles your patching experience fits, which skills you already cover, and what is missing.

Frequently asked questions about patching

+Is patching in demand in 2026?

Yes. patching appears in 496 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Database Administrator accounts for the most postings mentioning patching (9.1% of all postings mentioning patching).

+What jobs require patching?

According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning patching are Oracle Database Administrator (17.1% of that role’s postings mention patching), Oracle DBA (15.0% of that role’s postings mention patching), Infrastructure Engineering Manager (14.3% of that role’s postings mention patching).

+What skills are commonly paired with patching?

Across job postings indexed by Skillenai (90 days ending 2026-10-29), patching most often appears alongside Linux, automation, Python, monitoring, Troubleshooting.

+Where is patching most in demand?

As of 2026-10-29, the metro areas posting the most jobs requiring patching are Washington, Nashville, New York City, Austin, Bengaluru, according to the Skillenai jobs index.

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

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

+Which skills come before and after patching?

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 patching — last 90 days

Salary distribution

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

Career paths around patching

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before patching

Before patchingpython → patching: 3 observed employer moves with this skill pairPowerShell → patching: 3 observed employer moves with this skill pairdocker → patching: 3 observed employer moves with this skill pairLinux → patching: 3 observed employer moves with this skill pairAWS → patching: 3 observed employer moves with this skill pairJenkins → patching: 3 observed employer moves with this skill pairJava → patching: 3 observed employer moves with this skill pairci/cd → patching: 2 observed employer moves with this skill pairpatchingpython: 3 movespython3 movesPowerShell: 3 movesPowerShell3 movesdocker: 3 movesdocker3 movesLinux: 3 movesLinux3 movesAWS: 3 movesAWS3 movesJenkins: 3 movesJenkins3 movesJava: 3 movesJava3 movesci/cd: 2 movesci/cd2 moves

Skills after patching

After patchingpatching → AWS: 10 observed employer moves with this skill pairpatching → docker: 6 observed employer moves with this skill pairpatching → Ansible: 3 observed employer moves with this skill pairpatching → DynamoDB: 3 observed employer moves with this skill pairpatching → Jenkins: 3 observed employer moves with this skill pairpatching → IAM: 3 observed employer moves with this skill pairpatching → kubernetes: 3 observed employer moves with this skill pairpatching → MFA: 3 observed employer moves with this skill pairpatchingAWS: 10 movesAWS10 movesdocker: 6 movesdocker6 movesAnsible: 3 movesAnsible3 movesDynamoDB: 3 movesDynamoDB3 movesJenkins: 3 movesJenkins3 movesIAM: 3 movesIAM3 moveskubernetes: 3 moveskubernetes3 movesMFA: 3 movesMFA3 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: python3
Before: PowerShell3
Before: docker3
Before: Linux3
Before: AWS3
Before: Jenkins3
Before: Java3
Before: ci/cd2
After: AWS10
After: docker6
After: Ansible3
After: DynamoDB3
After: Jenkins3
After: IAM3
After: kubernetes3
After: MFA3

Roles most likely to require patching

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

RolePostings mentioning skill% of role postings mentioning skill
Oracle Database Administrator617.1%
Oracle DBA315.0%
Infrastructure Engineering Manager314.3%
Security Solutions Architect311.5%
IT Infrastructure Engineer610.5%
Database Administrator (DBA)28.0%
Security Operations Engineer47.7%
Linux Systems Engineer27.4%
Database Administrator457.2%
IT Systems Administrator26.7%

Roles with the most patching postings

RolePostings mentioning skillShare of skill postings
Database Administrator459.1%
Systems Engineer316.2%
Security Engineer255.0%
Site Reliability Engineer214.2%
Software Engineer193.8%
DevOps Engineer173.4%
Infrastructure Engineer163.2%
Cybersecurity Engineer132.6%
Platform Engineer112.2%
Cloud Engineer102.0%

Top companies posting jobs requiring patching

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

Top companies posting jobs requiring patching
CompanyPostings · 90 days
DXC Technology12
Opower9
NetLimiter9
Oracle9
General Motors8
Reuters8
General Dynamics Information Technology8
Defense Unicorns7
Kyndryl7
City of New York6

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 patching

NamePostingsShare
Washington132.6%
Nashville91.8%
New York City81.6%
Austin71.4%
Bengaluru71.4%
London71.4%
Hyderabad61.2%
Bra51.0%
Lisbon51.0%

Skills commonly paired with patching

Explore related pages

How this was computed

Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. 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 patching by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s patching postings by all patching 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 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (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
a9c9481454f1f2df
data_as_of
2026-10-29
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index