Thomas Jefferson University tech stack
Thomas Jefferson University builds mostly with SQL, Python, PowerShell, JavaScript. Its stack also includes GCP, Azure, MySQL, PostgreSQL. GCP is named in 24 of the 102 job postings Thomas Jefferson University published in the last 12 months (24%). Counted by Alion from the job postings of Thomas Jefferson University, updated Nov 15, 2026.
What programming languages does Thomas Jefferson University use?
SQL is named in 15% of job postings at Thomas Jefferson University, followed by Python (14%), PowerShell (7%), JavaScript (6%).
SQL
15 15%
Python
14 14%
PowerShell
7 7%
JavaScript
6 6%
C#
4 4%
TypeScript
3 3%
Bash
1 1%
Java
1 1%
Show all (12)
What databases does Thomas Jefferson University use?
MySQL is named in 3% of job postings at Thomas Jefferson University, followed by PostgreSQL (3%), Azure SQL Database (2%), MS SQL (2%).
What cloud and platforms does Thomas Jefferson University use?
GCP is named in 24% of job postings at Thomas Jefferson University, followed by Azure (15%), Windows (8%), AWS (8%).
GCP
24 24%
Azure
15 15%
AWS
8 8%
Power BI
6 6%
Kubernetes
5 5%
VMWare
5 5%
Windows Server
5 5%
Show all (24)
What developer tools does Thomas Jefferson University use?
Microsoft Excel is named in 17% of job postings at Thomas Jefferson University, followed by Terraform (7%), Adobe Photoshop (6%), Rest API (5%).
Terraform
7 7%
Adobe Photoshop
6 6%
Rest API
5 5%
Hyper-V
5 5%
Copilot
4 4%
Docker
4 4%
Prometheus
4 4%
Show all (22)
What AI and ML technologies does Thomas Jefferson University use?
ChatGPT is named in 2% of job postings at Thomas Jefferson University.
ChatGPT
2 2%
Which engineering practices does Thomas Jefferson University ask for?
CI/CD is named in 11% of job postings at Thomas Jefferson University, followed by Machine Learning (6%), DNS (6%), TCP/IP (5%).
CI/CD
11 11%
Show all (27)
What does each Thomas Jefferson University team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Administrative
21 postingsAnalytics
14 postingsBackend
7 postingsHow does your stack fit Thomas Jefferson University?
How is the Thomas Jefferson University stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Thomas Jefferson University stack?
Thomas Jefferson University scores 71 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How common is the Thomas Jefferson University stack in its industry?
Share of the 2,313 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Thomas Jefferson University apart
Companies with a stack like Thomas Jefferson University
Questions about the Thomas Jefferson University tech stack
What programming languages does Thomas Jefferson University use?
The languages named in Thomas Jefferson University job postings are SQL (15%), Python (14%), PowerShell (7%), JavaScript (6%), C# (4%), as a share of the 102 postings of the last 12 months.
Does Thomas Jefferson University use GCP?
Yes. GCP is named in 24 of 102 job postings (24%) and required in 24 of them.
What cloud and platforms does Thomas Jefferson University use?
The cloud and platforms named in Thomas Jefferson University job postings are GCP (24), Azure (15), Windows (8) (postings in brackets).
What skills do you need for a Administrative job at Thomas Jefferson University?
Administrative postings at Thomas Jefferson University most often require GCP (15), Adobe Photoshop (2), Microsoft Excel (2), out of 21 postings in the last 12 months.
Is the Thomas Jefferson University tech stack changing?
Yes. Immunohistochemistry, CloudFormation, Splunk, TypeScript first appeared in Thomas Jefferson University job postings in the last six months.
How modern is the Thomas Jefferson University tech stack?
Thomas Jefferson University scores 71 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How does Alion know the Thomas Jefferson University tech stack?
Alion reads every job posting Thomas Jefferson University publishes and tags the technologies each one names. The figures on this page count the 102 postings of the last 12 months and were updated on Nov 15, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Thomas Jefferson University tech stack: 92 technologies from 102 job postings", as of Nov 15, 2026. https://alion.io/company/jefferson-edu/technologies