Trust tech stack
Trust builds mostly with Python, Node JS, SQL, TypeScript. Its stack also includes GCP, Snowflake, PoC Library, AWS. GCP is named in 5 of the 12 job postings Trust published in the last 12 months (42%). Counted by Alion from the job postings of Trust, updated Oct 17, 2026.
What programming languages does Trust use?
Python is named in 33% of job postings at Trust, followed by Node JS (17%), SQL (17%), TypeScript (17%).
Python
4 33%
Node JS
2 17%
SQL
2 17%
TypeScript
2 17%
JavaScript
2 17%
Assembly
1 8%
C++
1 8%
COBOL
1 8%
Show all (9)
What frameworks and libraries does Trust use?
PoC Library is named in 33% of job postings at Trust, followed by Next.js (17%), React.js (17%), Tailwind CSS (17%).
What cloud and platforms does Trust use?
GCP is named in 42% of job postings at Trust, followed by AWS (25%), Databricks (17%), Figma (17%).
GCP
5 42%
AWS
3 25%
Databricks
2 17%
Figma
2 17%
GitHub
2 17%
GitHub Actions
2 17%
Azure
1 8%
MLFlow
1 8%
Show all (11)
What developer tools does Trust use?
Claude Code is named in 17% of job postings at Trust, followed by Terraform (17%).
Claude Code
2 17%
Terraform
2 17%
What AI and ML technologies does Trust use?
ChatGPT is named in 8% of job postings at Trust.
ChatGPT
1 8%
Which engineering practices does Trust ask for?
CI/CD is named in 25% of job postings at Trust.
CI/CD
3 25%
What does each Trust team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
5 postingsHow does your stack fit Trust?
How is the Trust 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 Trust stack?
Trust scores 85 out of 100 (Cutting-edge). 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.
Companies with a stack like Trust
Questions about the Trust tech stack
What programming languages does Trust use?
The languages named in Trust job postings are Python (33%), Node JS (17%), SQL (17%), TypeScript (17%), JavaScript (17%), as a share of the 12 postings of the last 12 months.
Does Trust use PoC Library?
Yes. PoC Library is named in 4 of 12 job postings (33%) and required in 4 of them.
What cloud and platforms does Trust use?
The cloud and platforms named in Trust job postings are GCP (5), AWS (3), Databricks (2) (postings in brackets).
What skills do you need for a Data Science job at Trust?
Data Science postings at Trust most often require Snowflake (4), AWS (2), Databricks (2), GCP (2), out of 5 postings in the last 12 months.
Is the Trust tech stack changing?
Yes. Claude Code, Figma, GitHub, GitHub Actions first appeared in Trust job postings in the last six months.
How modern is the Trust tech stack?
Trust scores 85 out of 100 (Cutting-edge). 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 Trust tech stack?
Alion reads every job posting Trust publishes and tags the technologies each one names. The figures on this page count the 12 postings of the last 12 months and were updated on Oct 17, 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, "Trust tech stack: 31 technologies from 12 job postings", as of Oct 17, 2026. https://alion.io/company/trust-partner/technologies