Conclusion tech stack
Conclusion builds mostly with Python, Java, TypeScript, JavaScript. Its stack also includes Azure, Kubernetes, PostgreSQL, Angular. Azure is named in 29 of the 58 job postings Conclusion published in the last 12 months (50%). Counted by Alion from the job postings of Conclusion, updated Nov 13, 2026.
What programming languages does Conclusion use?
Python is named in 22% of job postings at Conclusion, followed by Java (19%), TypeScript (16%), JavaScript (14%).
Show all (15)
What frameworks and libraries does Conclusion use?
Angular is named in 7% of job postings at Conclusion, followed by Vue.js (7%), Cypress (7%), Playwright (7%).
Show all (19)
What databases does Conclusion use?
PostgreSQL is named in 7% of job postings at Conclusion, followed by Azure SQL Database (2%), Db2 (2%), MS SQL (2%).
What cloud and platforms does Conclusion use?
Azure is named in 50% of job postings at Conclusion, followed by Kubernetes (36%), OpenShift (22%), Azure DevOps (21%).
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And 2 more, each named in fewer postings.
What developer tools does Conclusion use?
Docker is named in 19% of job postings at Conclusion, followed by Jenkins (17%), Rest API (16%), Terraform (16%).
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And 2 more, each named in fewer postings.
What AI and ML technologies does Conclusion use?
LLM is named in 3% of job postings at Conclusion.
Which engineering practices does Conclusion ask for?
CI/CD is named in 34% of job postings at Conclusion, followed by GitOps (9%), AI Agents (5%), RAG (5%).
Show all (14)
What does each Conclusion team work with?
The technologies each team's postings require most often, with the number of postings that require them.
DevOps
14 postingsEnterprise Apps
9 postingsBackend
8 postingsQA
6 postingsHow does your stack fit Conclusion?
How much does Conclusion pay by technology?
Median stated pay of the postings that name each technology, against the median of all Conclusion postings with stated pay: $88k across 55 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Azure | 28 | $88k | 0% |
| Kubernetes | 19 | $88k | 0% |
| OpenShift | 12 | $102k | +17% |
| Python | 12 | $90k | +3% |
| Azure DevOps | 11 | $81k | −8% |
| Java | 9 | $94k | +8% |
| TypeScript | 9 | $88k | 0% |
| JavaScript | 8 | $84k | −4% |
| AWS | 7 | $108k | +23% |
| Linux | 7 | $92k | +5% |
How is the Conclusion 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 Conclusion stack?
Conclusion scores 72 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 Conclusion stack in its industry?
Share of the 11,264 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Conclusion apart
Companies with a stack like Conclusion
Questions about the Conclusion tech stack
What programming languages does Conclusion use?
The languages named in Conclusion job postings are Python (22%), Java (19%), TypeScript (16%), JavaScript (14%), PowerShell (12%), as a share of the 58 postings of the last 12 months.
Does Conclusion use Angular?
Yes. Angular is named in 4 of 58 job postings (7%) and required in 4 of them.
What cloud and platforms does Conclusion use?
The cloud and platforms named in Conclusion job postings are Azure (29), Kubernetes (21), OpenShift (13) (postings in brackets).
What skills do you need for a DevOps job at Conclusion?
DevOps postings at Conclusion most often require Kubernetes (9), Azure (8), OpenShift (8), Linux (5), out of 14 postings in the last 12 months.
Is the Conclusion tech stack changing?
Yes. HashiCorp Vault, GitOps, Istio, Service Mesh first appeared in Conclusion job postings in the last six months.
How modern is the Conclusion tech stack?
Conclusion scores 72 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 Conclusion tech stack?
Alion reads every job posting Conclusion publishes and tags the technologies each one names. The figures on this page count the 58 postings of the last 12 months and were updated on Nov 13, 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, "Conclusion tech stack: 138 technologies from 58 job postings", as of Nov 13, 2026. https://alion.io/company/conclusion/technologies
