low-latency systems jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, low-latency systems appears in 209 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning low-latency systems, with demand share down 10.9% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want low-latency systems?
Upload your resume and Skillenai will show which roles your low-latency systems experience fits, which skills you already cover, and what is missing.
Frequently asked questions about low-latency systems
+Is low-latency systems in demand in 2026?
Yes. low-latency systems appears in 209 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Software Engineer accounts for the most postings mentioning low-latency systems (46.9% of all postings mentioning low-latency systems).
+What jobs require low-latency systems?
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 low-latency systems are Java Engineer (6.7% of that role’s postings mention low-latency systems), Quantitative Developer (5.2% of that role’s postings mention low-latency systems), ML Engineering Manager (4.3% of that role’s postings mention low-latency systems).
+What skills are commonly paired with low-latency systems?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), low-latency systems most often appears alongside Distributed systems, Java, Python, C++, high-throughput systems.
+Where is low-latency systems most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring low-latency systems are New York City, San Francisco, London, Toronto, Amsterdam, according to the Skillenai jobs index.
+How can I keep up with new low-latency systems content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning low-latency systems alongside the jobs index. You can subscribe to a daily email digest of new low-latency systems content from your Skillenai account.
+Which skills come before and after low-latency systems?
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 low-latency systems — last 90 days
Career paths around low-latency systems
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before low-latency systems
Skills after low-latency systems
No published outgoing skill pairs yet.
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: customer-facing | 1 |
| Before: cloud security solutions | 1 |
| Before: AWS Security Hub | 1 |
| Before: low-latency architecture | 1 |
Roles most likely to require low-latency systems
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Java Engineer | 3 | 6.7% |
| Quantitative Developer | 5 | 5.2% |
| ML Engineering Manager | 1 | 4.3% |
| Lead Software Engineer | 2 | 2.7% |
| Back-end Engineer | 2 | 2.7% |
| Algorithm Engineer | 1 | 2.5% |
| AI Data Engineer | 1 | 1.5% |
| Hardware Engineer | 1 | 1.5% |
| Distributed Systems Engineer | 1 | 1.4% |
| Data Science Manager | 2 | 0.9% |
Roles with the most low-latency systems postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 98 | 46.9% |
| Engineering Manager | 22 | 10.5% |
| Backend Engineer | 9 | 4.3% |
| Machine Learning Engineer | 5 | 2.4% |
| Product Manager | 5 | 2.4% |
| Quantitative Developer | 5 | 2.4% |
| Backend Software Engineer | 4 | 1.9% |
| Java Engineer | 3 | 1.4% |
| Research Scientist | 3 | 1.4% |
| Software Developer | 3 | 1.4% |
Top companies posting jobs requiring low-latency systems
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Stripe | 11 |
| Quberesearchandtechnologies | 6 |
| Adyen | 5 |
| Twilio | 5 |
| TTEC | 5 |
| Netflix | 5 |
| Waymo | 5 |
| 4 | |
| Barclays | 4 |
| Dialpad | 4 |
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 low-latency systems
| Name | Postings | Share |
|---|---|---|
| New York City | 16 | 7.7% |
| San Francisco | 9 | 4.3% |
| London | 8 | 3.8% |
| Toronto | 8 | 3.8% |
| Amsterdam | 7 | 3.3% |
| Singapore | 5 | 2.4% |
| Chicago | 4 | 1.9% |
| Warsaw | 4 | 1.9% |
| Bengaluru | 3 | 1.4% |
Skills commonly paired with low-latency systems
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 low-latency systems by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s low-latency systems postings by all low-latency systems 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
- 40138f9154f78423
- data_as_of
- 2026-10-29
- window_days
- 90