Cloudbeds tech stack
Cloudbeds builds mostly with Python, PHP, TypeScript, Java. Its stack also includes AWS, Kubernetes, PostgreSQL, Amazon Aurora. AWS is named in 43 of the 89 job postings Cloudbeds published in the last 12 months (48%). Counted by Alion from the job postings of Cloudbeds, updated Oct 1, 2026.
What programming languages does Cloudbeds use?
Python is named in 36% of job postings at Cloudbeds, followed by PHP (12%), TypeScript (11%), Java (10%).
What frameworks and libraries does Cloudbeds use?
FastAPI is named in 10% of job postings at Cloudbeds, followed by React Native (10%), React Query (10%), Zustand (10%).
FastAPI
9 10%
React Native
9 10%
React Query
9 10%
Zustand
9 10%
React.js
9 10%
Flink
6 7%
CrewAI
4 4%
LangChain
4 4%
Show all (11)
What databases does Cloudbeds use?
PostgreSQL is named in 38% of job postings at Cloudbeds, followed by Amazon Aurora (10%), Memcached (10%), MySQL (10%).
PostgreSQL
34 38%
Amazon Aurora
9 10%
Memcached
9 10%
MySQL
9 10%
Redis
9 10%
SQLite
9 10%
Amazon Redshift
7 8%
What cloud and platforms does Cloudbeds use?
AWS is named in 48% of job postings at Cloudbeds, followed by Kubernetes (48%), GitHub Actions (17%), Amazon CloudWatch (10%).
AWS
43 48%
Kubernetes
43 48%
GitHub Actions
15 17%
Amazon EKS
9 10%
Expo
9 10%
Datadog
9 10%
Grafana
9 10%
Show all (23)
What developer tools does Cloudbeds use?
Terraform is named in 33% of job postings at Cloudbeds, followed by ArgoCD (33%), Docker (29%), Helm (29%).
Terraform
29 33%
ArgoCD
29 33%
Docker
26 29%
Helm
26 29%
Rest API
18 20%
Nginx
9 10%
Prometheus
9 10%
gRPC
8 9%
Show all (18)
What AI and ML technologies does Cloudbeds use?
LLM is named in 4% of job postings at Cloudbeds.
LLM
4 4%
Which engineering practices does Cloudbeds ask for?
Machine Learning is named in 100% of job postings at Cloudbeds, followed by CI/CD (44%), GitOps (10%), Offline-First (10%).
CI/CD
39 44%
GitOps
9 10%
Offline-First
9 10%
Incident Management
7 8%
Platform Engineering
7 8%
Show all (15)
What does each Cloudbeds team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
25 postingsDevOps
9 postingsCustomer Success
8 postingsAI/ML
6 postingsHow does your stack fit Cloudbeds?
How much does Cloudbeds pay by technology?
Median stated pay of the postings that name each technology, against the median of all Cloudbeds postings with stated pay: $160k across 18 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| AWS | 9 | $150k | −6% |
| Kubernetes | 9 | $150k | −6% |
| PostgreSQL | 7 | $175k | +9% |
| Python | 6 | $150k | −6% |
How is the Cloudbeds 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 Cloudbeds stack?
Cloudbeds scores 75 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 Cloudbeds
Questions about the Cloudbeds tech stack
What programming languages does Cloudbeds use?
The languages named in Cloudbeds job postings are Python (36%), PHP (12%), TypeScript (11%), Java (10%), JavaScript (10%), as a share of the 89 postings of the last 12 months.
Does Cloudbeds use FastAPI?
Yes. FastAPI is named in 9 of 89 job postings (10%) and required in 9 of them.
What cloud and platforms does Cloudbeds use?
The cloud and platforms named in Cloudbeds job postings are AWS (43), Kubernetes (43), GitHub Actions (15) (postings in brackets).
What skills do you need for a Backend job at Cloudbeds?
Backend postings at Cloudbeds most often require AWS (25), Kubernetes (25), PostgreSQL (25), Python (21), out of 25 postings in the last 12 months.
Is the Cloudbeds tech stack changing?
Yes. Crowdstrike, Datadog Cloud Security, Dependabot, GitHub first appeared in Cloudbeds job postings in the last six months.
How modern is the Cloudbeds tech stack?
Cloudbeds scores 75 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 Cloudbeds tech stack?
Alion reads every job posting Cloudbeds publishes and tags the technologies each one names. The figures on this page count the 89 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, "Cloudbeds tech stack: 83 technologies from 89 job postings", as of Oct 1, 2026. https://alion.io/company/cloudbeds/technologies