paypaycard.com tech stack
paypaycard.com builds mostly with Python, Java, Kotlin, JavaScript. Its stack also includes GCP, AWS, BigQuery, Google BigQuery. GCP is named in 7 of the 12 job postings paypaycard.com published in the last 12 months (58%). Counted by Alion from the job postings of paypaycard.com, updated Oct 9, 2026.
What programming languages does paypaycard.com use?
Python is named in 50% of job postings at paypaycard.com, followed by Java (25%), Kotlin (25%), JavaScript (25%).
What frameworks and libraries does paypaycard.com use?
JUnit is named in 25% of job postings at paypaycard.com, followed by CatBoost (17%), LightGBM (17%), Lightning Web Components (17%).
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What databases does paypaycard.com use?
BigQuery is named in 42% of job postings at paypaycard.com, followed by Google BigQuery (42%), MySQL (17%), Amazon Neptune (8%).
What cloud and platforms does paypaycard.com use?
GCP is named in 58% of job postings at paypaycard.com, followed by AWS (50%), Kubernetes (42%), Looker (33%).
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What developer tools does paypaycard.com use?
Docker is named in 50% of job postings at paypaycard.com, followed by CloudFormation (25%), Rest API (25%), Jupyter Notebook (17%).
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What AI and ML technologies does paypaycard.com use?
LLM is named in 8% of job postings at paypaycard.com.
Which engineering practices does paypaycard.com ask for?
CI/CD is named in 17% of job postings at paypaycard.com, followed by Agentic Workflows (8%), RAG (8%), Semantic Search (8%).
How does your stack fit paypaycard.com?
How is the paypaycard.com 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 paypaycard.com stack?
paypaycard.com scores 74 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 paypaycard.com stack in its industry?
Share of the 495 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like paypaycard.com
Questions about the paypaycard.com tech stack
What programming languages does paypaycard.com use?
The languages named in paypaycard.com job postings are Python (50%), Java (25%), Kotlin (25%), JavaScript (25%), Apex (17%), as a share of the 12 postings of the last 12 months.
Does paypaycard.com use JUnit?
Yes. JUnit is named in 3 of 12 job postings (25%) and required in 1 of them.
What cloud and platforms does paypaycard.com use?
The cloud and platforms named in paypaycard.com job postings are GCP (7), AWS (6), Kubernetes (5) (postings in brackets).
Is the paypaycard.com tech stack changing?
Yes. Vertex AI, CatBoost, Jupyter Notebook, LightGBM first appeared in paypaycard.com job postings in the last six months.
How modern is the paypaycard.com tech stack?
paypaycard.com scores 74 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 paypaycard.com tech stack?
Alion reads every job posting paypaycard.com 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 9, 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, "paypaycard.com tech stack: 87 technologies from 12 job postings", as of Oct 9, 2026. https://alion.io/company/paypaycard/technologies
