Q42 Engineering tech stack
Q42 Engineering builds mostly with TypeScript, C#, JavaScript, Kotlin. Its stack also includes .NET, AWS, Kotlin Multiplatform, Svelte. TypeScript is named in 4 of the 4 job postings Q42 Engineering published in the last 12 months (100%). Counted by Alion from the job postings of Q42 Engineering, updated Oct 12, 2026.
What programming languages does Q42 Engineering use?
TypeScript is named in 100% of job postings at Q42 Engineering, followed by C# (100%), JavaScript (100%), Kotlin (100%).
What frameworks and libraries does Q42 Engineering use?
Kotlin Multiplatform is named in 100% of job postings at Q42 Engineering, followed by Svelte (100%), SwiftUI (100%), Django (50%).
What cloud and platforms does Q42 Engineering use?
.NET is named in 100% of job postings at Q42 Engineering, followed by AWS (100%), Azure (100%), GCP (100%).
How does your stack fit Q42 Engineering?
How modern is the Q42 Engineering stack?
Q42 Engineering 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: 0; legacy ones: 0.
How common is the Q42 Engineering stack in its industry?
Share of the 5,683 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Q42 Engineering apart
Companies with a stack like Q42 Engineering
Questions about the Q42 Engineering tech stack
What programming languages does Q42 Engineering use?
The languages named in Q42 Engineering job postings are TypeScript (100%), C# (100%), JavaScript (100%), Kotlin (100%), Swift (100%), as a share of the 4 postings of the last 12 months.
Does Q42 Engineering use Kotlin Multiplatform?
Yes. Kotlin Multiplatform is named in 4 of 4 job postings (100%) and required in 4 of them.
What cloud and platforms does Q42 Engineering use?
The cloud and platforms named in Q42 Engineering job postings are .NET (4), AWS (4), Azure (4) (postings in brackets).
Is the Q42 Engineering tech stack changing?
No new technology has appeared in Q42 Engineering job postings in the last six months.
How modern is the Q42 Engineering tech stack?
Q42 Engineering 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: 0; legacy ones: 0.
How does Alion know the Q42 Engineering tech stack?
Alion reads every job posting Q42 Engineering publishes and tags the technologies each one names. The figures on this page count the 4 postings of the last 12 months and were updated on Oct 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, "Q42 Engineering tech stack: 15 technologies from 4 job postings", as of Oct 12, 2026. https://alion.io/company/q42-engineering/technologies