The seniority gap in US tech hiring

Almost every open technology role in the United States is written for someone who has already had the job. This report measures how far that goes, what it pays, and what employers actually ask of the people they call junior — across 32,283 live postings at 270 employers.

Published by FindRole · computed · Methodology · Download CSV

Key findings

  • As of October 2026, 75.1% of the 32,283 live US technology roles tracked by FindRole target Senior level or above (24,243 postings). Only 20.5% sit below Senior.
  • Of the 27,162 postings that state a years-of-experience figure, just 193 (0.7%) ask for zero years.
  • 69.0% of junior-level postings that state a figure still demand two or more years of experience (1,426 of 2,068); 12.8% demand three or more.
  • Median advertised pay rises with every step of the ladder, from $132,600 at junior level to $215,000 at Staff+ level.
  • Seniority buys more than pay. Remote work rises from 3.4% of junior postings to 9.4% of Staff+ postings, and the share of postings that disclose a salary rises from 50.0% to 71.2%.
  • 5 years is the single most demanded figure in US tech hiring, named by 5,536 postings (20.4% of those stating any figure).

Data free to reuse with attribution to findrole.ai (CC BY 4.0). Download the table as CSV.

1. Where the openings are

Every posting is placed on one of four levels. The distribution is not a pyramid — it is a market with almost no bottom.

  1. Junior 10.4% · 3,363
    posted by 183 of 270 employers
  2. Mid 10.1% · 3,249
    posted by 187 of 270 employers
  3. Senior 56.0% · 18,071
    posted by 260 of 270 employers
  4. Staff+ 19.1% · 6,172
    posted by 219 of 270 employers

A further 1,428 postings (4.4%) carry no level signal at all — no seniority word in the title, no stated seniority, no years figure — and are excluded from the level percentages above.

2. What “entry level” actually asks for

The complaint is familiar enough to be a joke. It is also measurable. Of the junior-level postings that name a years-of-experience figure, the median demand is 2.0 years.

69.0%
of junior postings demand 2+ years
12.8%
demand 3+ years — a mid-level bar on a junior title
193
postings in the entire corpus ask for zero years

Years demanded on junior-level postings

0 1 2 3 4 5 6
years of experience demanded

Amber bars are postings that call themselves junior while asking for two or more years. Based on 2,068 junior-level postings that state a figure.

3. What each rung pays

Advertised base-salary ranges, by level. The bar spans the 25th to 75th percentile of posted midpoints; the line marks the median. Only postings that disclose a range are counted.

  1. Junior $132,600
    $107,250 – $152,875 · 90th percentile $179,000 · 1,682 priced postings
  2. Mid $158,550
    $126,800 – $194,300 · 90th percentile $214,000 · 2,170 priced postings
  3. Senior $186,600
    $152,000 – $222,500 · 90th percentile $254,750 · 12,141 priced postings
  4. Staff+ $215,000
    $180,000 – $257,100 · 90th percentile $299,000 · 4,394 priced postings

4. The 5-year wall

Experience demands are not smoothly distributed. They cluster on round numbers, and one number dominates: 5 years, named by 5,536 postings. Employers are not measuring a requirement so much as reaching for a familiar figure.

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
years of experience demanded

What kind of experience is being asked for

  • Total professional experience 18.9% · 6,116
  • Experience in the field 64.3% · 20,756
  • Experience with a named technology 2.8% · 910
  • No figure stated 13.9% · 4,501

Most experience demands attach to a field or a named technology rather than to a whole career. A posting asking for five years of a framework that has existed for four is a different claim from one asking for five years of professional work, and this report does not merge them: years tied to a single named technology are excluded from the level classification entirely.

5. Seniority buys more than money

Pay is the obvious gradient. Two less obvious ones run in the same direction: the more senior the role, the more likely it can be done remotely — and the more likely the employer will tell you what it pays before you apply.

Level, median advertised pay, remote share, salary-disclosure rate and median years demanded
Level Median pay Remote Discloses pay Median yrs
Junior $132,600 3.4% 50.0% 2.0
Mid $158,550 5.4% 66.8% 3.0
Senior $186,600 8.0% 67.2% 6.0
Staff+ $215,000 9.4% 71.2% 8.0

The disclosure column is the one worth sitting with. The candidates with the least leverage, the least salary information of their own, and the weakest position to negotiate are also the ones least likely to be told the number before they spend an evening on an application.

6. “Senior” is not one job

A single word covers ranks whose advertised pay differs by six figures. These are the seniority labels employers actually use, before any of them are folded into a level.

  • senior 26.5% · 8,540
  • lead 8.5% · 2,739
  • principal 7.2% · 2,333
  • manager 6.9% · 2,217
  • staff 5.7% · 1,840
  • director 2.8% · 891
  • junior 2.7% · 878
  • intern 2.1% · 687
  • mid 1.0% · 331
  • exec 0.7% · 220
  • distinguished 0.6% · 195
  • fellow 0.1% · 17

15.5% of postings (4,992) are people-management roles; the remaining 84.5% are individual contributors.

7. What employers ask for, by level

The skills named most often in postings at each level, as a share of that level’s postings with an extracted skill list. A posting counts a skill once; spellings are folded to one name.

Junior

  1. Python 54%
  2. C++ 27%
  3. Java 19%
  4. SQL 18%
  5. Linux 18%
  6. Machine Learning 14%
  7. Agile 13%
  8. AI 12%
  9. AWS 12%
  10. Kubernetes 11%
  11. C 11%
  12. CI/CD 10%

of 3,362 postings

Mid

  1. Python 45%
  2. C++ 19%
  3. AWS 16%
  4. Java 15%
  5. CI/CD 14%
  6. SQL 14%
  7. Machine Learning 14%
  8. Linux 13%
  9. Agile 13%
  10. Kubernetes 10%

of 3,249 postings

Senior

  1. Python 43%
  2. AWS 24%
  3. Java 21%
  4. CI/CD 21%
  5. Agile 18%
  6. Kubernetes 17%
  7. Azure 16%
  8. SQL 16%
  9. C++ 14%
  10. AI 12%
  11. Machine Learning 12%
  12. Go 12%

of 18,067 postings

Staff+

  1. Python 36%
  2. AWS 22%
  3. Java 21%
  4. CI/CD 20%
  5. AI 19%
  6. Distributed Systems 18%
  7. Machine Learning 16%
  8. Azure 15%
  9. Agile 14%
  10. Kubernetes 13%
  11. C++ 12%
  12. SQL 12%

of 6,169 postings

Only Junior postings put C in their top 12.

Only Senior postings put Go in their top 12.

Only Staff+ postings put Distributed Systems in their top 12.

A skill is listed from 5 postings and 10% of the level’s skilled postings, top 12 shown; a level needs 30 postings with a skill list. Download this table (CSV).

Methodology and limits

The corpus is 32,283 live US technology postings collected from 270 employers’ own career pages — not from an aggregator, and not from candidate self-reports. Figures were computed on and refresh daily.

This is a boutique sample, and it matters. 270 employers is a narrow slice of US tech hiring, weighted toward larger companies that publish structured career pages. It is not a census, and a single large employer’s hiring cycle can move these numbers. Read it as a well-measured sample, not as the market.

A posting’s level is derived, in this order: a seniority word in the title; failing that, the seniority the posting states for itself; failing that, the years of experience it demands. Years tied to one named technology are never used to set a level. Salary figures are the midpoint of the advertised range, over the 21,401 postings (66.3%) that publish one — postings without a range are excluded from pay figures and counted everywhere else. Skills are the ones the extraction step read from each posting’s own text, folded to one name per skill through a reviewed vocabulary of aliases; a skill the vocabulary does not know counts under its own spelling. Full definitions are on the methodology page.

Every number on this page is computed from the corpus at render time. Nothing is hand-entered, so the page cannot quietly go stale.

Free to reuse, including commercially, with attribution to findrole.ai (CC BY 4.0). Questions or a data request: sales@findrole.ai

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