Checkout.com tech stack
Checkout.com builds mostly with Python, SQL, JavaScript, C#. Its stack also includes AWS, React.js, Azure, Google BigQuery. Python is named in 56 of the 148 job postings Checkout.com published in the last 12 months (38%). Counted by Alion from the job postings of Checkout.com, updated Nov 12, 2026.
What programming languages does Checkout.com use?
Python is named in 38% of job postings at Checkout.com, followed by SQL (31%), JavaScript (21%), C# (18%).
Python
56 38%
SQL
46 31%
JavaScript
31 21%
C#
27 18%
Java
20 14%
Go
15 10%
Node JS
10 7%
TypeScript
10 7%
Show all (13)
What frameworks and libraries does Checkout.com use?
React.js is named in 14% of job postings at Checkout.com, followed by Angular (4%), Pandas (3%), Flink (2%).
React.js
20 14%
Angular
6 4%
Pandas
4 3%
Flink
3 2%
Gradio
3 2%
PyTorch
2 1%
Scikit-learn
2 1%
XGBoost
2 1%
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What databases does Checkout.com use?
Google BigQuery is named in 8% of job postings at Checkout.com, followed by Snowflake (4%), ElasticSearch (2%), PostgreSQL (2%).
Google BigQuery
12 8%
Snowflake
6 4%
ElasticSearch
3 2%
PostgreSQL
3 2%
Redis
3 2%
Amazon Redshift
1 1%
MongoDB
1 1%
What cloud and platforms does Checkout.com use?
AWS is named in 16% of job postings at Checkout.com, followed by Azure (12%), .NET (11%), GCP (11%).
AWS
24 16%
Azure
18 12%
.NET
16 11%
GCP
16 11%
Postman
12 8%
Kubernetes
10 7%
Datadog
9 6%
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And 2 more, each named in fewer postings.
What developer tools does Checkout.com use?
Rest API is named in 15% of job postings at Checkout.com, followed by Microsoft Excel (5%), Docker (5%), dbt (4%).
Rest API
22 15%
Docker
7 5%
dbt
6 4%
Claude Code
6 4%
Terraform
6 4%
Cursor
5 3%
Git
4 3%
Show all (17)
What AI and ML technologies does Checkout.com use?
LLM is named in 7% of job postings at Checkout.com, followed by Claude (3%), ChatGPT (1%), BERT (1%).
Which engineering practices does Checkout.com ask for?
Machine Learning is named in 9% of job postings at Checkout.com, followed by CI/CD (7%), AI Agents (6%), Agentic Workflows (3%).
CI/CD
11 7%
AI Agents
9 6%
Prompt Engineering
4 3%
Incident Management
4 3%
Computer Vision
3 2%
Show all (33)
What does each Checkout.com team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Solutions
27 postingsAnalytics
18 postingsBackend
16 postingsData Science
11 postingsFinance
10 postingsHow does your stack fit Checkout.com?
How is the Checkout.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 Checkout.com stack?
Checkout.com 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: 6; legacy ones: 0.
How common is the Checkout.com stack in its industry?
Share of the 937 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Checkout.com apart
Companies with a stack like Checkout.com
Questions about the Checkout.com tech stack
What programming languages does Checkout.com use?
The languages named in Checkout.com job postings are Python (38%), SQL (31%), JavaScript (21%), C# (18%), Java (14%), as a share of the 148 postings of the last 12 months.
Does Checkout.com use React.js?
Yes. React.js is named in 20 of 148 job postings (14%) and required in 12 of them.
What cloud and platforms does Checkout.com use?
The cloud and platforms named in Checkout.com job postings are AWS (24), Azure (18), .NET (16) (postings in brackets).
What skills do you need for a Solutions job at Checkout.com?
Solutions postings at Checkout.com most often require Rest API (14), Python (10), React.js (10), JavaScript (8), out of 27 postings in the last 12 months.
Is the Checkout.com tech stack changing?
Yes. OpenAI Codex, Prompt Engineering, ChatGPT, Claude first appeared in Checkout.com job postings in the last six months.
How modern is the Checkout.com tech stack?
Checkout.com 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: 6; legacy ones: 0.
How does Alion know the Checkout.com tech stack?
Alion reads every job posting Checkout.com publishes and tags the technologies each one names. The figures on this page count the 148 postings of the last 12 months and were updated on Nov 12, 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, "Checkout.com tech stack: 136 technologies from 148 job postings", as of Nov 12, 2026. https://alion.io/company/checkout-com/technologies