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

As of 2026-09-30, Distributed computing appears in 916 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Distributed computing.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
916
Top role · 35.8% of skill postings
Top hiring metro
Bengaluru

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Frequently asked questions about Distributed computing

+Is Distributed computing in demand in 2026?

Yes. Distributed computing appears in 916 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning Distributed computing (35.8% of all postings mentioning Distributed computing).

+What jobs require Distributed computing?

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 Distributed computing are Simulation Software Engineer (23.1% of that role’s postings mention Distributed computing), Field Engineering Manager (11.4% of that role’s postings mention Distributed computing), Postdoctoral Researcher (9.5% of that role’s postings mention Distributed computing).

+What skills are commonly paired with Distributed computing?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), Distributed computing most often appears alongside Python, networking, large-scale system design, Natural language processing, security.

+Where is Distributed computing most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring Distributed computing are Bengaluru, London, Warsaw, Hawthorne, San Francisco, according to the Skillenai jobs index.

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

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

+Which skills come before and after Distributed computing?

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 Distributed computing — last 90 days

Salary distribution

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

Career paths around Distributed computing

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Distributed computing

Before Distributed computingETL → Distributed computing: 2 observed employer moves with this skill pairsql → Distributed computing: 2 observed employer moves with this skill pairdata models → Distributed computing: 2 observed employer moves with this skill pairUnix shell script → Distributed computing: 1 observed employer moves with this skill pairspark → Distributed computing: 1 observed employer moves with this skill pairoutgassing measurements → Distributed computing: 1 observed employer moves with this skill paircloud-native architecture → Distributed computing: 1 observed employer moves with this skill pairMPICH → Distributed computing: 1 observed employer moves with this skill pairDistributedcomputingETL: 2 movesETL2 movessql: 2 movessql2 movesdata models: 2 movesdata models2 movesUnix shell script: 1 movesUnix shell script1 movesspark: 1 movesspark1 movesoutgassing measurements: 1 movesoutgassingmeasurements1 movescloud-native architecture: 1 movescloud-nativearchitecture1 movesMPICH: 1 movesMPICH1 moves

Skills after Distributed computing

After Distributed computingDistributed computing → machine learning: 2 observed employer moves with this skill pairDistributed computing → machine learning models: 2 observed employer moves with this skill pairDistributed computing → infrastructure: 1 observed employer moves with this skill pairDistributed computing → mssql: 1 observed employer moves with this skill pairDistributed computing → ci/cd: 1 observed employer moves with this skill pairDistributed computing → Oracle 10g: 1 observed employer moves with this skill pairDistributed computing → machine learning-based real time equalizer: 1 observed employer moves with this skill pairDistributed computing → opinion mining: 1 observed employer moves with this skill pairDistributedcomputingmachine learning: 2 movesmachine learning2 movesmachine learning models: 2 movesmachine learningmodels2 movesinfrastructure: 1 movesinfrastructure1 movesmssql: 1 movesmssql1 movesci/cd: 1 movesci/cd1 movesOracle 10g: 1 movesOracle 10g1 movesmachine learning-based real time equalizer: 1 movesmachinelearning-basedreal time…1 movesopinion mining: 1 movesopinion mining1 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: ETL2
Before: sql2
Before: data models2
Before: Unix shell script1
Before: spark1
Before: outgassing measurements1
Before: cloud-native architecture1
Before: MPICH1
After: machine learning2
After: machine learning models2
After: infrastructure1
After: mssql1
After: ci/cd1
After: Oracle 10g1
After: machine learning-based real time equalizer1
After: opinion mining1

Roles most likely to require Distributed computing

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

RolePostings mentioning skill% of role postings mentioning skill
Simulation Software Engineer623.1%
Field Engineering Manager411.4%
Postdoctoral Researcher29.5%
Forward Deployed Engineer838.2%
Lead Data Scientist77.0%
Data Infrastructure Engineer26.9%
Data Platform Architect25.4%
Software Engineering Manager385.3%
AI Researcher65.0%
Quantitative Finance Analyst14.5%

Roles with the most Distributed computing postings

RolePostings mentioning skillShare of skill postings
Software Engineer32835.8%
Forward Deployed Engineer839.1%
Data Scientist606.6%
Machine Learning Engineer586.3%
Data Engineer485.2%
Software Engineering Manager384.1%
Solutions Architect151.6%
Technical Program Manager151.6%
Engineering Manager91.0%
ML Engineer80.9%

Top companies posting jobs requiring Distributed computing

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

Top companies posting jobs requiring Distributed computing
CompanyPostings · 90 days
Google267
Databricks95
Capital One50
Nimble Storage29
SpaceX19
NVIDIA19
Accenture14
Wayve10
Quora10
YouTube9

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 Distributed computing

NamePostingsShare
Bengaluru323.5%
London272.9%
Warsaw272.9%
Hawthorne182.0%
San Francisco182.0%
New York City161.7%
Chicago151.6%
Sunnyvale131.4%
Munich121.3%

Skills commonly paired with Distributed computing

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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 Distributed computing by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Distributed computing postings by all Distributed computing 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
6a288597c282685f
data_as_of
2026-09-30
window_days
90
Hiring engineers who use Distributed computing?

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