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

As of 2026-09-30, Solr appears in 250 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Solr.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
250
Top role · 64.0% of skill postings
Top hiring metro
Greece

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Frequently asked questions about Solr

+Is Solr in demand in 2026?

Yes. Solr appears in 250 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning Solr (64.0% of all postings mentioning Solr).

+What jobs require Solr?

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 Solr are Computer Scientist (16.0% of that role’s postings mention Solr), DevOps Cloud Engineer (10.0% of that role’s postings mention Solr), Technical Services Engineer (6.5% of that role’s postings mention Solr).

+What skills are commonly paired with Solr?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), Solr most often appears alongside Elasticsearch, Java, MongoDB, PostgreSQL, data structures.

+Where is Solr most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring Solr are Greece, Toronto, Bengaluru, Dublin, McLean, according to the Skillenai jobs index.

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

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

+Which skills come before and after Solr?

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 Solr — last 90 days

Career paths around Solr

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Solr

Before SolrJava → Solr: 8 observed employer moves with this skill pairC# → Solr: 5 observed employer moves with this skill pairMYSQL → Solr: 5 observed employer moves with this skill pairsql → Solr: 5 observed employer moves with this skill pairSpring Boot → Solr: 3 observed employer moves with this skill pairDjango → Solr: 3 observed employer moves with this skill pairJavaScript → Solr: 3 observed employer moves with this skill pairReact → Solr: 3 observed employer moves with this skill pairSolrJava: 8 movesJava8 movesC#: 5 movesC#5 movesMYSQL: 5 movesMYSQL5 movessql: 5 movessql5 movesSpring Boot: 3 movesSpring Boot3 movesDjango: 3 movesDjango3 movesJavaScript: 3 movesJavaScript3 movesReact: 3 movesReact3 moves

Skills after Solr

After SolrSolr → Jenkins: 5 observed employer moves with this skill pairSolr → AWS: 3 observed employer moves with this skill pairSolr → Spring Boot: 3 observed employer moves with this skill pairSolr → ci/cd: 3 observed employer moves with this skill pairSolr → Angular: 3 observed employer moves with this skill pairSolr → python: 3 observed employer moves with this skill pairSolr → MYSQL: 3 observed employer moves with this skill pairSolr → RDS: 2 observed employer moves with this skill pairSolrJenkins: 5 movesJenkins5 movesAWS: 3 movesAWS3 movesSpring Boot: 3 movesSpring Boot3 movesci/cd: 3 movesci/cd3 movesAngular: 3 movesAngular3 movespython: 3 movespython3 movesMYSQL: 3 movesMYSQL3 movesRDS: 2 movesRDS2 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: Java8
Before: C#5
Before: MYSQL5
Before: sql5
Before: Spring Boot3
Before: Django3
Before: JavaScript3
Before: React3
After: Jenkins5
After: AWS3
After: Spring Boot3
After: ci/cd3
After: Angular3
After: python3
After: MYSQL3
After: RDS2

Roles most likely to require Solr

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

RolePostings mentioning skill% of role postings mentioning skill
Computer Scientist416.0%
DevOps Cloud Engineer210.0%
Technical Services Engineer26.5%
Machine Learning Engineering Manager23.4%
Release Engineer13.0%
Technology Lead32.5%
ML Ops Engineer12.4%
Principal Software Engineer31.8%
Software Quality Engineer11.8%
Technical Consultant10.8%

Roles with the most Solr postings

RolePostings mentioning skillShare of skill postings
Software Engineer16064.0%
Site Reliability Engineer83.2%
Machine Learning Engineer72.8%
Data Scientist62.4%
Data Engineer52.0%
Engineering Manager52.0%
Full Stack Engineer52.0%
Computer Scientist41.6%
Search Engineer41.6%
Full Stack Developer31.2%

Top companies posting jobs requiring Solr

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

Top companies posting jobs requiring Solr
CompanyPostings · 90 days
Elastic81
Referralsuseonly10
Elsevier7
Adobe5
Zoominfo uses technologies4
Webroot4
Etsy4
Epiq4
ZoomInfo4
ServiceNow4

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 Solr

NamePostingsShare
Greece104.0%
Toronto83.2%
Bengaluru72.8%
Dublin72.8%
McLean62.4%
New York City41.6%
San Francisco41.6%
Santa Clara41.6%
Chantilly31.2%

Skills commonly paired with Solr

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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 Solr by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Solr postings by all Solr 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). An adjusted trend is not shown because comparable posting coverage is insufficient.

source
Skillenai jobs index, deduplicated daily
entity_id
6d608fd635f5d6c4
data_as_of
2026-09-30
window_days
90
Hiring engineers who use Solr?

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