Thomas Jefferson University tech stack
Thomas Jefferson University builds mostly with Python, SQL, Bash, C#. Its stack also includes GCP, Azure, Supervision, Salesforce Data Cloud. Azure is named in 8 of the 58 job postings Thomas Jefferson University published in the last 12 months (14%). Counted by Alion from the job postings of Thomas Jefferson University, updated Oct 1, 2026.
What programming languages does Thomas Jefferson University use?
Python is named in 9% of job postings at Thomas Jefferson University, followed by SQL (7%), Bash (2%), C# (2%).
What frameworks and libraries does Thomas Jefferson University use?
Supervision is named in 9% of job postings at Thomas Jefferson University.
Supervision
5 9%
What databases does Thomas Jefferson University use?
Salesforce Data Cloud is named in 2% of job postings at Thomas Jefferson University.
What cloud and platforms does Thomas Jefferson University use?
GCP is named in 14% of job postings at Thomas Jefferson University, followed by Azure (14%), Windows (7%), AWS (3%).
GCP
8 14%
Azure
8 14%
AWS
2 3%
Microsoft Fabric
2 3%
Power BI
2 3%
Kubernetes
2 3%
Show all (14)
What developer tools does Thomas Jefferson University use?
Microsoft Excel is named in 16% of job postings at Thomas Jefferson University, followed by Chef (12%), Adobe Photoshop (5%), Copilot (5%).
Chef
7 12%
Adobe Photoshop
3 5%
Copilot
3 5%
Terraform
3 5%
Ansible
2 3%
Adobe After Effects
1 2%
AutoCAD
1 2%
Show all (18)
What AI and ML technologies does Thomas Jefferson University use?
ChatGPT is named in 3% of job postings at Thomas Jefferson University.
ChatGPT
2 3%
Which engineering practices does Thomas Jefferson University ask for?
CI/CD is named in 12% of job postings at Thomas Jefferson University, followed by Machine Learning (7%), ETL/ELT (5%), AI Agents (3%).
Show all (18)
How 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 1,364 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Thomas Jefferson University
Chenega
49 shared technologies
Riveron
46 shared technologies
Aristocrat Leisure
51 shared technologies
CAE
47 shared technologies
University of Washington Department of Athletics
50 shared technologies
Genetec
48 shared technologies
Continental
47 shared technologies
Kyivstar
47 shared technologies
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 Python (9%), SQL (7%), Bash (2%), C# (2%), JavaScript (2%), as a share of the 58 postings of the last 12 months.
Does Thomas Jefferson University use Supervision?
Yes. Supervision is named in 5 of 58 job postings (9%) and required in 5 of them.
What cloud and platforms does Thomas Jefferson University use?
The cloud and platforms named in Thomas Jefferson University job postings are GCP (8), Azure (8), Windows (4) (postings in brackets).
Is the Thomas Jefferson University tech stack changing?
Yes. Kubernetes, AI Agents, Copilot, ChatGPT 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 58 postings of the last 12 months and were updated on Oct 1, 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: 60 technologies from 58 job postings", as of Oct 1, 2026. https://alion.io/company/jefferson-edu/technologies