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Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Tech stack
Technologies named in job postings at j-vers over the last 12 months, by layer, with the share of postings for each.
Technologies in use
17
Postings analysed
3
Stack modernity
73/100
Languages
Java
SQL
Frameworks & libraries
Cucumber
JUnit
Selenium
Cloud & platforms
AWS
Azure
Kubernetes
Bitbucket
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Full j-vers tech stack
17 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$76k
Typical range
$73k – $131k
Open positions
4
1
Jobs
Senior
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Senior | 1 | $131k | $131k |
Highest paying role
Senior Cloud Engineer
$131k
Normalized to USD per year
Growth
Hiring Momentum
28/100
Slowing
Open positions
4
0 opened / 0 closed in 30 days
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
DevOps
40% ▼
QA
40% ▼
Industrial Engineering
20% ▼
Offices
Where the company hires and what each office is for
Cities
5
Hiring now
5
Countries
1
Busiest office
San Antonio
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Headquarters
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Office with open vacancies
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San Antonio
United States
1 open roles 1 posted in 90 days 100% engineering $131k Avg Salary
hires for DevOps
Richmond
United States
1 open roles 1 posted in 90 days 100% engineering $78k Avg Salary
hires for DevOps
Bedford
United States
1 open roles 1 posted in 90 days 100% engineering $92k Avg Salary
hires for QA
Long Beach
United States
1 open roles 1 posted in 90 days $73k Avg Salary
hires for Industrial Engineering
Arlington
United States
1 open roles 1 posted in 90 days 100% engineering $73k Avg Salary
hires for QA
Jobs
$131k per year • In office • TS/SCI • Full-Time • San Antonio
Terraform
GCP
CloudFormation
Azure
AWS
Docker
Kubernetes
Management
Gmail
Telegram
WhatsApp
Agile
Scrum
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$78k per year • In office • Full-Time • Richmond
SQL
Databricks
DevOps
Terraform
Azure
CI/CD
AWS
Kubernetes
Analytics
ETL/ELT
Apply
