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.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 28, 2026
Technologies in use
93
Postings analysed
81
Open now
18
Modernity
83 /100
New in 6 months
8

What programming languages does DeepL use?

Go is named in 36% of job postings at DeepL, followed by Python (20%), C# (20%), JavaScript (14%).

Go 29 36% required in 79% · 3 open now · since May 2026
Python 16 20% required in 100% · 1 open now · since Jun 2026
C# 16 20% required in 94% · since Jun 2026
JavaScript 11 14% required in 55% · since Jun 2026
TypeScript 8 10% required in 100% · since Jun 2026
Java 4 5% required in 100% · 1 open now · since Jun 2026
Node JS 1 1% required in 100% · since Jul 2026
SQL 1 1% required in 100% · since Jul 2026

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%).

React.js 11 14% required in 100% · since Jun 2026
JAX 5 6% required in 100% · since Jul 2026
PyTorch 5 6% required in 100% · since Jul 2026
TensorFlow 4 5% required in 100% · since Jul 2026
Transformers 1 1% required in 100% · since Jul 2026
DeepSpeed 1 1% optional · since Jul 2026
FSDP 1 1% optional · since Jul 2026
Megatron-LM 1 1% optional · since Jul 2026
Show all (10)
SGLang1
TensorRT-LLM1

What databases does DeepL use?

PostgreSQL is named in 2% of job postings at DeepL, followed by Redis (1%), Apache Iceberg (1%).

PostgreSQL 2 2% required in 100% · since Aug 2026
Redis 1 1% required in 100% · since Jul 2026
Apache Iceberg 1 1% optional · 1 open now · since Jul 2026

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%).

Kubernetes 11 14% required in 82% · 1 open now · since Jul 2026
.NET 9 11% required in 100% · since Jul 2026
GitHub 9 11% required in 89% · since Jun 2026
AWS 8 10% required in 88% · since May 2026
Azure 3 4% required in 100% · 2 open now · since Jul 2026
Databricks 3 4% required in 100% · 1 open now · since Jul 2026
Linux 3 4% required in 100% · since Jul 2026
Windows 2 2% required in 100% · since Jul 2026
Show all (15)
Apache Kafka2
Amazon EKS1
Figma1
GitLab1
Microsoft Entra ID1
Okta1
vLLM1

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%).

Copilot 14 17% required in 93% · since Jun 2026
Model Context Protocol 7 9% required in 86% · 1 open now · since May 2026
WebSockets 4 5% required in 100% · since May 2026
Claude Code 4 5% required in 75% · since May 2026
Rest API 3 4% required in 100% · 2 open now · since Jul 2026
Terraform 3 4% required in 100% · 1 open now · since Jul 2026
ArgoCD 2 2% required in 100% · since Aug 2026
OpenAI Codex 2 2% required in 100% · since Jul 2026
Show all (15)
WebRTC2
Docker2
gRPC2
Backstage1
Microsoft Excel1
Terragrunt1
TensorRT1

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%).

Claude 17 21% required in 94% · since May 2026
LLM 6 7% required in 100% · since May 2026
LoRA 1 1% required in 100% · since Jul 2026
PEFT 1 1% required in 100% · since Jul 2026
VLM 1 1% required in 100% · since Jul 2026
ChatGPT 1 1% optional · since Jun 2026

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%).

Edge AI 81 100% required in 100% · 18 open now · since Feb 2026
AI Agents 5 6% required in 100% · 1 open now · since Jun 2026
Machine Learning 5 6% required in 80% · since Jul 2026
Multimodal AI 4 5% required in 100% · since Jul 2026
Post-training 4 5% required in 100% · since Jul 2026
RLHF 4 5% required in 75% · since Jul 2026
Text-to-Speech 4 5% required in 75% · since May 2026
NLP 4 5% required in 25% · since Jul 2026
Show all (36)
Fine-tuning3
Platform Engineering3
Reinforcement Learning3
RLAIF3
A/B Testing2
GitOps2
Knowledge Distillation2
Model Distillation2
PPO2
Pre-training2
Reward Modeling2
Rollup2
SFT2
Synthetic Data2
CI/CD2
Human-in-the-Loop2
Speech Recognition2
BGP2
Agentic Workflows1
DPO1
HPC1
Incident Management1
Mixture of Experts1
Prompt Engineering1
SLI/SLO/SLA1
Speculative Decoding1
Diffusion Models1
Voice Agents1

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 postings
C#15
Go15
Copilot13
Claude12
React.js11
.NET9

Product

5 postings
AWS2
Go2
LLM2
Model Context Protocol2
WebSockets2

AI/ML

5 postings
JAX5
PyTorch5
Python5
TensorFlow4
LLM2

DevOps

4 postings
AWS2
ArgoCD2
Kubernetes2
Linux2
Python2
Terraform2

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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.

First appeared
PostgreSQLAug 2026
Speech RecognitionAug 2026
ArgoCDAug 2026
GitOpsAug 2026
BGPAug 2026
OpenAI CodexJul 2026
WebRTCJul 2026
.NETJul 2026
Rising
Kubernetes0% → 16%
.NET0% → 13%
Python10% → 22%
C#10% → 22%
JAX0% → 7%
PyTorch0% → 7%
Machine Learning0% → 7%
Multimodal AI0% → 6%
Falling
LLM30% → 4%
AWS30% → 7%
Model Context Protocol20% → 7%
Java10% → 4%
Claude Code10% → 4%
AI Agents10% → 6%

How modern is the DeepL stack?

Cutting-edge AI adopter 83/100

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.

Go23%
Claude34%
C#11%
Python74%
JavaScript58%
Kubernetes47%
React.js42%
.NET5%
GitHub28%
AWS55%

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.

DeepL API1

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

Licence: CC BY-SA 4.0JSON