ATOS SYNTEL INC salaries
Median $95,000 across 170 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$95,000
Middle 50%
$80,000–$118,100
Filings
170
- Median is 26% below the median for all IT roles ($128,000).
- Most filings are wage Level II (100%).
- Computer Occupations, All Other has the most filings (105), with a median of $87,000.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Computer Occupations, All Other | 105 | $87,000 |
| Software Developers | 30 | $118,400 |
| Software Quality Assurance Analysts and Testers | 26 | $91,900 |
| Database Administrators | 4 | $117,900 |
| Computer Systems Analysts | 3 | $95,000 |
| Database Architects | 1 | $145,000 |
| Network and Computer Systems Administrators | 1 | $74,000 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Phoenix-Mesa-Chandler, AZ | 20 | $87,000 |
| Louisville/Jefferson County, KY-IN | 19 | $85,900 |
| Memphis, TN-MS-AR | 18 | $87,000 |
| Nashville-Davidson--Murfreesboro--Franklin, TN | 18 | $101,600 |
| Dallas-Fort Worth-Arlington, TX | 15 | $109,000 |
| Chicago-Naperville-Elgin, IL-IN | 13 | $112,000 |
| Atlanta-Sandy Springs-Roswell, GA | 7 | $111,800 |
| Charlotte-Concord-Gastonia, NC-SC | 7 | $107,000 |
| Orlando-Kissimmee-Sanford, FL | 6 | $91,000 |
| Pittsburgh, PA | 6 | $125,000 |
Level II 100%
Take-home pay
| Gross | $95,000 |
| Federal income tax | $12,100 |
| Social Security | $5,900 |
| Medicare | $1,400 |
| State income tax | $0 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $74,200 |
| Take-home per month | $6,200 |
Tax year 2026, single filer.
Local taxes, 401(k), and filing status other than single are not included.
Tax rates checked against IRS, Tax Foundation, and other original sources on Oct 28, 2026.
This is an estimate. Actual taxes depend on your situation. Consult a tax professional before filing.
LCA filings are not hires.
Filed wages are offered base pay, not total compensation.
We did not independently verify the source files. Deduplication and filtering can cause differences from the original data.