T-Mobile tech stack
T-Mobile builds mostly with Python, SQL, Java, JavaScript. Its stack also includes Azure, Kubernetes, LangChain, Delta Lake. Python is named in 9 of the 14 job postings T-Mobile published in the last 12 months (64%). Counted by Alion from the job postings of T-Mobile, updated Sep 30, 2026.
What programming languages does T-Mobile use?
Python is named in 64% of job postings at T-Mobile, followed by SQL (36%), Java (21%), JavaScript (14%).
What frameworks and libraries does T-Mobile use?
LangChain is named in 21% of job postings at T-Mobile, followed by React.js (14%), Angular (7%), CrewAI (7%).
LangChain
3 21%
React.js
2 14%
Angular
1 7%
CrewAI
1 7%
FastAPI
1 7%
LangGraph
1 7%
Next.js
1 7%
Transformers
1 7%
Show all (11)
What databases does T-Mobile use?
Delta Lake is named in 14% of job postings at T-Mobile, followed by Snowflake (14%), Google BigQuery (7%), MS SQL (7%).
What cloud and platforms does T-Mobile use?
Azure is named in 21% of job postings at T-Mobile, followed by Kubernetes (21%), Spark (21%), AWS (14%).
Azure
3 21%
Kubernetes
3 21%
Spark
3 21%
AWS
2 14%
Apache Kafka
2 14%
Databricks
2 14%
GitLab
2 14%
GitLab CI
2 14%
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What developer tools does T-Mobile use?
Terraform is named in 21% of job postings at T-Mobile, followed by pySpark (21%), Docker (14%), dbt (14%).
Terraform
3 21%
pySpark
3 21%
Docker
2 14%
dbt
2 14%
Model Context Protocol
2 14%
Claude Code
1 7%
Git
1 7%
Show all (13)
What AI and ML technologies does T-Mobile use?
LLM is named in 36% of job postings at T-Mobile, followed by Claude (21%), ChatGPT (7%).
Which engineering practices does T-Mobile ask for?
CI/CD is named in 43% of job postings at T-Mobile, followed by AI Agents (43%), ETL/ELT (21%), A/B Testing (14%).
CI/CD
6 43%
AI Agents
6 43%
Embeddings
2 14%
Show all (21)
What does each T-Mobile team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
3 postingsAI/ML
3 postingsBackend
3 postingsHow does your stack fit T-Mobile?
How modern is the T-Mobile stack?
T-Mobile scores 89 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: 3; legacy ones: 0.
Companies with a stack like T-Mobile
Questions about the T-Mobile tech stack
What programming languages does T-Mobile use?
The languages named in T-Mobile job postings are Python (64%), SQL (36%), Java (21%), JavaScript (14%), Go (7%), as a share of the 14 postings of the last 12 months.
Does T-Mobile use LangChain?
Yes. LangChain is named in 3 of 14 job postings (21%) and required in 3 of them.
What cloud and platforms does T-Mobile use?
The cloud and platforms named in T-Mobile job postings are Azure (3), Kubernetes (3), Spark (3) (postings in brackets).
What skills do you need for a Data Science job at T-Mobile?
Data Science postings at T-Mobile most often require Python (3), Spark (3), Apache Kafka (2), Azure (2), out of 3 postings in the last 12 months.
Is the T-Mobile tech stack changing?
No new technology has appeared in T-Mobile job postings in the last six months.
How modern is the T-Mobile tech stack?
T-Mobile scores 89 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: 3; legacy ones: 0.
How does Alion know the T-Mobile tech stack?
Alion reads every job posting T-Mobile publishes and tags the technologies each one names. The figures on this page count the 14 postings of the last 12 months and were updated on Sep 30, 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, "T-Mobile tech stack: 87 technologies from 14 job postings", as of Sep 30, 2026. https://alion.io/company/t-mobile-com/technologies