What Opens Up
The view from above the fresher gate, and how the market rearranges itself once you're in.
The Mid-Senior Bulge
Share of postings by band. Values approximate.
The fresher band is the narrowest on the chart. Mid sits roughly six times larger, and Senior more than three times larger again, before Staff thins out at the top. The entry rung is the gate, not the building. Almost everyone hired here is already past it.
Who Builds the Bulge: Company Classes
| Profile | FA | Mid | Senior | Staff |
|---|---|---|---|---|
| MNCs & GCCs | 5–15% | ≥ 30% | ≥ 30% | 5–15% |
| Unicorns & Indian Product | 5–15% | ≥ 30% | ≥ 30% | 5–15% |
| MAANG & Elite Global Tech | 5–15% | ≥ 30% | 15–30% | 5–15% |
| Established SME | 5–15% | ≥ 30% | ≥ 30% | 5–15% |
| Funded Startups | 5–15% | ≥ 30% | 15–30% | < 5% |
| Indian IT Services / WITCH | < 5% | ≥ 30% | 15–30% | < 5% |
| Lala Companies | ≥ 30% | ≥ 30% | 15–30% | < 5% |
MNCs, GCCs and Unicorns carry the volume of the bulge, filling the Mid and Senior columns heavily across the grid. MAANG and Elite Global Tech stand out clearly above the fresher line, but that band is the prestige, not the mass. The depth lives in the middle of the market, not its glamorous edge.
Who Builds the Bulge: Industries
| Profile | FA | Mid | Senior | Staff |
|---|---|---|---|---|
| SaaS | 5–15% | ≥ 30% | ≥ 30% | 5–15% |
| Cloud Infrastructure | 5–15% | ≥ 30% | ≥ 30% | 5–15% |
| Fintech | 5–15% | ≥ 30% | ≥ 30% | 5–15% |
| Banking & Financial Services | 5–15% | ≥ 30% | ≥ 30% | 5–15% |
| Hardware & Semiconductors | 5–15% | ≥ 30% | ≥ 30% | 5–15% |
| Others (17 industries) | 5–15% | ≥ 30% | ≥ 30% | 5–15% |
Indexes 0-4 = top-5 industries by mid+ count, descending. Index 5 = 'Others (<N> industries)' label, where N is derived at populate time.
Five industries account for the bulk of hiring above the fresher band. They are SaaS, Cloud Infrastructure, Fintech, Banking and Financial Services, and Hardware and Semiconductors. Each leans hard into its Mid and Senior columns. They take on freshers because they need the seniors a year out. The pipeline is the whole point.
Pay Opens Up Alongside
| Seniority | p10 | Median | p90 |
|---|---|---|---|
| Entry | 4 | 8 | 20 |
| Junior | 7 | 18 | 28 |
| Mid | 14 | 29 | 38 |
| Senior | 27 | 50 | 58 |
| Staff | 45 | 75 | 112 |
Median pay climbs at every rung, and the first step is the steepest. A typical entry offer of 8 LPA more than doubles to 18 at junior. Mid lands around 29 LPA, Senior jumps to about 50, and Staff clears 75. The doors open and the rooms pay better.
Pivots: Four Families, Not Fifteen Lanes
Web & Apps
- Backend Dev
- Frontend Dev
- Fullstack Dev
- Mobile Dev
Data & AI
- Data Science & ML
- Data Engineering
- Data Analytics & BI
- AI & LLM
Infra & Quality
- DevOps & Platform
- Security Eng
- Systems & Embedded
- QA & Testing
Generalist & Domain
- Enterprise Plat.
- Domain Specific
- Generalist SWE
A first profile sits inside a family, not in a corridor. The tightest in-family overlaps pair Backend Dev with Fullstack Dev, sharing well over half their skills. Domain Specific with Fullstack Dev sits at a similar level, and Backend Dev with Domain Specific is close behind. Cross-family routes are well worn too. Backend Dev leans into DevOps and Platform, and Fullstack Dev opens toward AI and LLM. A first role narrows the field far less than fifteen separate lanes would suggest.