DeepL tech stack
DeepL builds mostly with Go, Python, C#, JavaScript. Its stack also includes Kubernetes, React.js, .NET, JAX. Go is named in 29 of the 81 job postings DeepL published in the last 12 months (36%). Counted by Alion from the job postings of DeepL, updated Sep 28, 2026.
What programming languages does DeepL use?
Go is named in 36% of job postings at DeepL, followed by Python (20%), C# (20%), JavaScript (14%).
What frameworks and libraries does DeepL use?
React.js is named in 14% of job postings at DeepL, followed by JAX (6%), PyTorch (6%), TensorFlow (5%).
Show all (10)
What databases does DeepL use?
PostgreSQL is named in 2% of job postings at DeepL, followed by Redis (1%), Apache Iceberg (1%).
What cloud and platforms does DeepL use?
Kubernetes is named in 14% of job postings at DeepL, followed by .NET (11%), GitHub (11%), AWS (10%).
Show all (15)
What developer tools does DeepL use?
Copilot is named in 17% of job postings at DeepL, followed by Model Context Protocol (9%), WebSockets (5%), Claude Code (5%).
Show all (15)
What AI and ML technologies does DeepL use?
Claude is named in 21% of job postings at DeepL, followed by LLM (7%), LoRA (1%), PEFT (1%).
Which engineering practices does DeepL ask for?
Edge AI is named in 100% of job postings at DeepL, followed by AI Agents (6%), Machine Learning (6%), Multimodal AI (5%).
Show all (36)
What does each DeepL team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
22 postingsProduct
5 postingsAI/ML
5 postingsDevOps
4 postingsHow does your stack fit DeepL?
How is the DeepL 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 DeepL stack?
DeepL scores 83 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 DeepL stack in its industry?
Share of the 238 companies in the same industries, whose stack Alion knows, that use each technology.
DeepL products in its job postings
Postings at DeepL name its own products. They describe what the company makes, so they are left out of the stack above.
Companies with a stack like DeepL
Questions about the DeepL tech stack
What programming languages does DeepL use?
The languages named in DeepL job postings are Go (36%), Python (20%), C# (20%), JavaScript (14%), TypeScript (10%), as a share of the 81 postings of the last 12 months.
Does DeepL use React.js?
Yes. React.js is named in 11 of 81 job postings (14%) and required in 11 of them.
What cloud and platforms does DeepL use?
The cloud and platforms named in DeepL job postings are Kubernetes (11), .NET (9), GitHub (9) (postings in brackets).
What skills do you need for a Backend job at DeepL?
Backend postings at DeepL most often require C# (15), Go (15), Copilot (13), Claude (12), out of 22 postings in the last 12 months.
Is the DeepL tech stack changing?
Yes. PostgreSQL, Speech Recognition, ArgoCD, GitOps first appeared in DeepL job postings in the last six months.
How modern is the DeepL tech stack?
DeepL scores 83 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 DeepL tech stack?
Alion reads every job posting DeepL publishes and tags the technologies each one names. The figures on this page count the 81 postings of the last 12 months and were updated on Sep 28, 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, "DeepL tech stack: 93 technologies from 81 job postings", as of Sep 28, 2026. https://alion.io/company/deepl/technologies
