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

As of 2026-09-30, storage appears in 1,049 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning storage, with demand share up 1.1% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
1,049
Demand vs prior month
up 1.1% vs the prior 4 weeks
Top role · 17.2% of skill postings
Top hiring metro
San Francisco

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Frequently asked questions about storage

+Is storage in demand in 2026?

Yes. storage appears in 1,049 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning storage (17.2% of all postings mentioning storage).

+What jobs require storage?

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 storage are Security Solution Architect (23.8% of that role’s postings mention storage), Developer Relations Engineer (21.9% of that role’s postings mention storage), Linux Infrastructure Engineer (18.5% of that role’s postings mention storage).

+What skills are commonly paired with storage?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), storage most often appears alongside networking, Python, Kubernetes, AWS, compute.

+Where is storage most in demand?

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

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

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

+Which skills come before and after storage?

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 storage — last 90 days

Salary distribution

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

Career paths around storage

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before storage

Before storageterraform → storage: 10 observed employer moves with this skill pairAWS → storage: 9 observed employer moves with this skill pairpython → storage: 8 observed employer moves with this skill pairJenkins → storage: 8 observed employer moves with this skill pairdocker → storage: 7 observed employer moves with this skill pairGit → storage: 7 observed employer moves with this skill pairkubernetes → storage: 6 observed employer moves with this skill pairS3 → storage: 6 observed employer moves with this skill pairstorageterraform: 10 movesterraform10 movesAWS: 9 movesAWS9 movespython: 8 movespython8 movesJenkins: 8 movesJenkins8 movesdocker: 7 movesdocker7 movesGit: 7 movesGit7 moveskubernetes: 6 moveskubernetes6 movesS3: 6 movesS36 moves

Skills after storage

After storagestorage → EC2: 10 observed employer moves with this skill pairstorage → S3: 10 observed employer moves with this skill pairstorage → Lambda: 8 observed employer moves with this skill pairstorage → AWS: 8 observed employer moves with this skill pairstorage → RDS: 7 observed employer moves with this skill pairstorage → CloudWatch: 7 observed employer moves with this skill pairstorage → VPC: 7 observed employer moves with this skill pairstorage → Prometheus: 6 observed employer moves with this skill pairstorageEC2: 10 movesEC210 movesS3: 10 movesS310 movesLambda: 8 movesLambda8 movesAWS: 8 movesAWS8 movesRDS: 7 movesRDS7 movesCloudWatch: 7 movesCloudWatch7 movesVPC: 7 movesVPC7 movesPrometheus: 6 movesPrometheus6 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: terraform10
Before: AWS9
Before: python8
Before: Jenkins8
Before: docker7
Before: Git7
Before: kubernetes6
Before: S36
After: EC210
After: S310
After: Lambda8
After: AWS8
After: RDS7
After: CloudWatch7
After: VPC7
After: Prometheus6

Roles most likely to require storage

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

RolePostings mentioning skill% of role postings mentioning skill
Security Solution Architect523.8%
Developer Relations Engineer721.9%
Linux Infrastructure Engineer518.5%
Infrastructure Architect714.9%
IT Infrastructure Engineer813.1%
Cloud Infrastructure Engineer2211.3%
Software Engineering Team Lead29.1%
Data Business Analyst28.3%
GIS Solution Engineer28.3%
Engineering Team Lead28.0%

Roles with the most storage postings

RolePostings mentioning skillShare of skill postings
Software Engineer18017.2%
Solutions Architect383.6%
Site Reliability Engineer363.4%
Infrastructure Engineer313.0%
Backend Engineer302.9%
Product Manager292.8%
Technical Program Manager282.7%
Systems Engineer262.5%
Cloud Engineer242.3%
Cloud Infrastructure Engineer222.1%

Top companies posting jobs requiring storage

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

Top companies posting jobs requiring storage
CompanyPostings · 90 days
Supabase28
NVIDIA26
Google24
Grafana Labs22
Oracle19
Nebius17
OpenAI14
Grafanalabs14
HPE13
Kyndryl11

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 storage

NamePostingsShare
San Francisco676.4%
New York City232.2%
Bengaluru212.0%
Dublin212.0%
Singapore191.8%
London141.3%
San Mateo141.3%
Toronto121.1%
Amsterdam111.0%

Skills commonly paired with storage

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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 storage by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s storage postings by all storage 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: 0.4% to 0.4%. 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 2,596 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
5c206572162533cb
data_as_of
2026-09-30
window_days
90
Hiring engineers who use storage?

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