Salaries: Javascript
A tech-specific view of published salary ranges, plus real listings you can open and compare.
Active jobs
12
With salary
12
Coverage
100%
Range
€1,081–€6,287
Avg ~€3,524
Recent jobs (with or without salary)
Open a few listings to see typical stacks, expectations, and seniority.
View Details
TypeScript Developer (iGaming)
1,081 - 1,572 EUR gross
IGT PlayDigital
Timișoara
Office
Full-time
View Details
(remote) Senior Backend Developer (Node.js + TypeScript)
2,456 - 3,438 EUR gross
BSSA Consulting
Cluj-Napoca
Remote (EU)
Full-time
View Details
Senior Product Engineer – React, Node.js, UX
5,305 - 6,287 EUR gross
Lingo.dev
San Francisco
Remote (Worldwide)
Full-time
View Details
Senior DevTools Engineer – AST, CLI, CI/CD
5,305 - 6,287 EUR gross
Lingo.dev
San Francisco
Remote (Worldwide)
Full-time
View Details
Shopify App Developer (Backend + Frontend)
5,894 - 5,894 EUR gross
RefundMe
St. Gallen
Remote (Worldwide)
Contract
View Details
Angular Frontend Software Developer
1,375 - 2,358 EUR gross
uni software plus SRL
Timișoara
Hybrid
Full-time
View Details
Senior React/Node.js Developer (FinTech Project)
3,929 - 4,912 EUR gross
Sigma Software
Budapest
Remote (EU)
Full-time
View Details
Front End Developer (React)
2,358 - 3,340 EUR gross
Finesta
Cluj-Napoca
Hybrid
Full-time
View Details
Senior Backend Engineer (Remote)
3,831 - 4,813 EUR gross
Siena AI
Wilmington
Remote
Contract
View Details
Remote Shopify Developer
1,572 - 2,358 EUR gross
Vevol Media
Dublin
Remote
Full-time
How to read these numbers
Stats use only listings that publish a salary range (min–max). “Average” is estimated as the midpoint (min+max)/2, aggregated across salary listings.
Use the range as an anchor, then open recent listings to verify level, contract type, and scope before you compare offers.
FAQ
What is the average Javascript salary in Romania?
Based on listings that publish a range, the estimated average is ~€3,524 (range €1,081–€6,287).
Why does the coverage show 100%?
Coverage is the share of active Javascript listings that publish a salary range (min–max). The stats use only those listings.
What currency and period are these salaries?
Figures are shown in EUR and reflect how the listing is published. Use them as an anchor, then open listings to confirm contract type and scope.
How do I compare cities for Javascript?
Use the “Cities” list to open city pages with published ranges, then cross-check recent listings for seniority and responsibilities.
How to use these insights
- Use the distribution to understand typical salary bands (not just averages).
- Compare experience levels and technologies to calibrate negotiations and career moves.
- Use the tools to estimate take-home pay (CIM) or contractor outcomes (PFA/SRL).
Important caveats
- Charts use job listings with explicit salary ranges; not all jobs disclose pay.
- Averages may use midpoints of ranges for aggregation.
- Location, remote policy, and seniority labels come from listings and can vary by company.
Methodology
Data sources
We aggregate and analyze salary ranges from IT job listings published on IT Jobs List. Some listings include salary bands explicitly; others may not.
- Active job listings on IT Jobs List
- Salary ranges provided by employers (when present)
- Job metadata (role, seniority, location, tech stack) used to group and compare results
Normalization and assumptions
To keep comparisons useful, we normalize the way we interpret listing data across companies.
- Salary figures are displayed in EUR where possible; listings may use different currencies and compensation structures.
- When a listing provides a range, we may use the midpoint for aggregate charts.
- Remote/hybrid/office and employment type are taken from the listing and may differ across teams within the same company.
Limitations
These insights reflect the market as described by listings, not private compensation data.
- Not all jobs publish salary ranges, so some segments may be under-represented.
- Job titles vary between companies; we group them, but edge cases exist.
- Outliers can appear; trends are more reliable than any single datapoint.
