distributed architectures jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, distributed architectures appears in 157 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning distributed architectures, with demand share down 15.8% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-30
Which roles want distributed architectures?
Upload your resume and Skillenai will show which roles your distributed architectures experience fits, which skills you already cover, and what is missing.
Frequently asked questions about distributed architectures
+Is distributed architectures in demand in 2026?
Yes. distributed architectures appears in 157 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Software Engineer accounts for the most postings mentioning distributed architectures (44.6% of all postings mentioning distributed architectures).
+What jobs require distributed architectures?
According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning distributed architectures are AI Integration Engineer (4.8% of that role’s postings mention distributed architectures), Storage Engineer (3.6% of that role’s postings mention distributed architectures), Salesforce Technical Lead (3.4% of that role’s postings mention distributed architectures).
+What skills are commonly paired with distributed architectures?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), distributed architectures most often appears alongside AWS, Python, Java, Kubernetes, CI/CD.
+Where is distributed architectures most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring distributed architectures are London, Tel Aviv, Bengaluru, Berlin, Pune, according to the Skillenai jobs index.
+How can I keep up with new distributed architectures content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning distributed architectures alongside the jobs index. You can subscribe to a daily email digest of new distributed architectures content from your Skillenai account.
+Which skills come before and after distributed architectures?
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 architectures — last 90 days
Career paths around distributed architectures
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before distributed architectures
Skills after distributed architectures
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.
| Connection | Moves |
|---|---|
| Before: Continuous Delivery | 1 |
| Before: TFS (Team Foundation Server) | 1 |
| Before: Microsoft Windows | 1 |
| Before: Agile (SCRUM) | 1 |
| Before: enterprise billing portal | 1 |
| After: conjoint analysis | 1 |
| After: agile methodologies | 1 |
| After: back-end APIs | 1 |
| After: machine learning | 1 |
| After: Data analytics | 1 |
| After: SOA Services | 1 |
| After: UI/UX | 1 |
Roles most likely to require distributed architectures
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Integration Engineer | 1 | 4.8% |
| Storage Engineer | 1 | 3.6% |
| Salesforce Technical Lead | 1 | 3.4% |
| AI Solutions Architect | 3 | 2.8% |
| Principal Architect | 2 | 2.5% |
| Front End Engineer | 2 | 2.3% |
| Python Engineer | 1 | 2.0% |
| Lead Software Engineer | 1 | 1.4% |
| Integration Architect | 1 | 1.1% |
| Front-End Developer | 1 | 1.0% |
Roles with the most distributed architectures postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 70 | 44.6% |
| Backend Engineer | 10 | 6.4% |
| Solutions Architect | 8 | 5.1% |
| Software Engineering Tech Lead | 6 | 3.8% |
| AI Solutions Architect | 3 | 1.9% |
| Engineering Manager | 3 | 1.9% |
| Platform Engineer | 3 | 1.9% |
| Software Engineering Manager | 3 | 1.9% |
| AI Architect | 2 | 1.3% |
| AI Engineer | 2 | 1.3% |
Top companies posting jobs requiring distributed architectures
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Ebury | 8 |
| Unframe | 8 |
| Scalable GmbH | 5 |
| Cisco | 5 |
| Databricks | 4 |
| DeepL | 4 |
| Software Mind | 3 |
| Xero | 3 |
| Scale AI | 3 |
| Delivery Hero | 3 |
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 architectures
| Name | Postings | Share |
|---|---|---|
| London | 12 | 7.6% |
| Tel Aviv | 9 | 5.7% |
| Bengaluru | 5 | 3.2% |
| Berlin | 4 | 2.5% |
| Pune | 3 | 1.9% |
| San Francisco | 3 | 1.9% |
| San Jose | 3 | 1.9% |
| São Paulo | 3 | 1.9% |
| Warsaw | 3 | 1.9% |
Skills commonly paired with distributed architectures
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 2026-10-30. 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 architectures by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s distributed architectures postings by all distributed architectures 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 2,482 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
- 68b907b962515657
- data_as_of
- 2026-10-30
- window_days
- 90