Sripadha Inc salaries
Median $105,200 across 29 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$105,200
Middle 50%
$93,600–$112,300
Filings
29
- Median is 18% below the median for all IT roles ($128,000).
- Most filings are wage Level II (79%).
- Software Developers has the most filings (20), with a median of $106,000.
Based on 29 filings. Small samples can differ from actual pay ranges.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 20 | $106,000 |
| Computer Systems Analysts | 3 | $120,000 |
| Computer Occupations, All Other | 2 | $82,000 |
| Data Scientists | 2 | $92,000 |
| Network and Computer Systems Administrators | 2 | $95,000 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Dallas-Fort Worth-Arlington, TX | 6 | $96,700 |
| Chicago-Naperville-Elgin, IL-IN | 4 | $108,200 |
| Columbia, SC | 3 | $95,000 |
| Atlanta-Sandy Springs-Roswell, GA | 2 | $105,600 |
| Miami-Fort Lauderdale-West Palm Beach, FL | 2 | $106,700 |
| Portland-Vancouver-Hillsboro, OR-WA | 2 | $127,900 |
| Sacramento-Roseville-Folsom, CA | 2 | $82,000 |
| San Diego-Chula Vista-Carlsbad, CA | 2 | $120,000 |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 2 | $95,000 |
| Austin-Round Rock-San Marcos, TX | 1 | $108,800 |
Level I 14%
Level II 79%
Level III 7%
Take-home pay
| Gross | $105,200 |
| Federal income tax | $14,300 |
| Social Security | $6,500 |
| Medicare | $1,500 |
| State income tax | $0 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $81,400 |
| Take-home per month | $6,800 |
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.