Doctolib
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Doctolib tech stack

Doctolib builds mostly with Python, JavaScript, Java, TypeScript. Its stack also includes React.js, React Native, GCP, Kubernetes. Python is named in 78 of the 148 job postings Doctolib published in the last 12 months (53%). Counted by Alion from the job postings of Doctolib, updated Nov 13, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Nov 13, 2026
Technologies in use
174
Postings analysed
148
Open now
71
Modernity
81 /100
New in 6 months
8

What programming languages does Doctolib use?

Python is named in 53% of job postings at Doctolib, followed by JavaScript (45%), Java (41%), TypeScript (41%).

Python 78 53% required in 62% · 46 open now · since Oct 2025
JavaScript 67 45% required in 16% · 40 open now · since Oct 2025
Java 60 41% required in 35% · 40 open now · since Oct 2025
TypeScript 60 41% required in 30% · 39 open now · since Oct 2025
Kotlin 59 40% required in 31% · 40 open now · since Oct 2025
Ruby 22 15% required in 64% · 11 open now · since Oct 2025
SQL 20 14% required in 100% · 4 open now · since Nov 2025
PHP 9 6% required in 22% · 5 open now · since Aug 2026
Show all (15)
Go8
C#2
Erlang1
Node JS1
ABAP1
C++1
Rust1

What frameworks and libraries does Doctolib use?

React.js is named in 40% of job postings at Doctolib, followed by React Native (39%), Ruby on Rails (5%), Dagster (5%).

React.js 59 40% required in 7% · 38 open now · since Oct 2025
React Native 57 39% required in 14% · 38 open now · since Oct 2025
Ruby on Rails 8 5% required in 100% · 2 open now · since Apr 2026
Dagster 8 5% required in 75% · 3 open now · since Nov 2025
OpenTelemetry 8 5% required in 50% · 7 open now · since Oct 2025
LangChain 7 5% required in 100% · 2 open now · since Jul 2026
Spring Boot 5 3% required in 100% · 2 open now · since Feb 2026
LiteLLM 3 2% required in 100% · 3 open now · since Jun 2026
Show all (18)
PyTorch2
CUDA1
FAISS1
FastAPI1
Ray1
Ray Serve1
SGLang1
TensorRT-LLM1
Transformers1
Triton1

What databases does Doctolib use?

Google BigQuery is named in 7% of job postings at Doctolib, followed by ElasticSearch (5%), PostgreSQL (3%), Redis (2%).

Google BigQuery 10 7% required in 70% · 5 open now · since Nov 2025
ElasticSearch 8 5% required in 88% · 7 open now · since Oct 2025
PostgreSQL 5 3% required in 60% · 4 open now · since May 2026
Redis 3 2% required in 33% · 2 open now · since May 2026
Couchbase 2 1% required in 100% · 2 open now · since Jul 2026
Amazon Redshift 1 1% required in 100% · since Sep 2026
MySQL 1 1% required in 100% · 1 open now · since May 2026
OpenSearch 1 1% required in 100% · 1 open now · since May 2026

What cloud and platforms does Doctolib use?

GCP is named in 15% of job postings at Doctolib, followed by Kubernetes (14%), AWS (13%), Datadog (9%).

GCP 22 15% required in 86% · 16 open now · since Oct 2025
Kubernetes 20 14% required in 95% · 16 open now · since Oct 2025
AWS 19 13% required in 100% · 16 open now · since Oct 2025
Datadog 14 9% required in 57% · 12 open now · since Oct 2025
Metabase 12 8% required in 100% · 6 open now · since Nov 2025
Azure 11 7% required in 91% · 9 open now · since Oct 2025
Tableau 9 6% required in 100% · 3 open now · since Nov 2025
Apache Kafka 8 5% required in 63% · 6 open now · since Dec 2025
Show all (40)
MLFlow6
Vertex AI6
Figma4
GitHub4
vLLM3
.NET2
Amazon ECS2
Amazon S32
Braze2
Elastic SIEM2
Kibana2
Power BI2
SIEM2
Weights & Biases2
Windows2
Google GKE2
Grafana2
AWS Bedrock1
Amazon EKS1
Anyscale1
GitHub Actions1
Linux1
Looker1
NATS1
RabbitMQ1
SAP BTP1
Splunk1
TGI1
Cloudflare1
Crowdstrike1
Google Cloud Run1
Microsoft Entra ID1

What developer tools does Doctolib use?

Terraform is named in 10% of job postings at Doctolib, followed by WordPress (6%), Claude Code (5%), Canva (5%).

Terraform 15 10% required in 87% · 13 open now · since Nov 2025
WordPress 9 6% required in 100% · 5 open now · since Aug 2026
Claude Code 8 5% required in 100% · 6 open now · since Feb 2026
Canva 8 5% required in 88% · 6 open now · since Jul 2026
Prometheus 8 5% required in 50% · 7 open now · since Oct 2025
Braintrust 6 4% required in 100% · 4 open now · since Jan 2026
Git 6 4% required in 83% · 2 open now · since Aug 2026
ArgoCD 6 4% required in 67% · 5 open now · since Oct 2025
Show all (35)
Docker5
Google ADK5
Helm5
Model Context Protocol5
dbt3
Copilot2
Cursor2
FHIR2
Fluent Bit2
Kustomize2
Loki2
Rest API2
Thanos2
HL72
A2A1
Crossplane1
DVC1
HashiCorp Vault1
KServe1
Keycloak1
OpenTofu1
Triton Inference Server1
Vault1
Vector1
WebRTC1
WebSockets1
TensorRT1

What AI and ML technologies does Doctolib use?

Claude is named in 14% of job postings at Doctolib, followed by LLM (10%), DALL-E (7%), ChatGPT (4%).

Claude 20 14% required in 85% · 9 open now · since Nov 2025
LLM 15 10% required in 100% · 9 open now · since Oct 2025
DALL-E 10 7% required in 100% · 4 open now · since Feb 2026
ChatGPT 6 4% required in 83% · 2 open now · since Aug 2026
Gemini 4 3% required in 75% · 2 open now · since Aug 2026
VLM 3 2% required in 100% · 1 open now · since Jan 2026
Llama 2 1% required in 100% · 2 open now · since Jul 2026
BERT 1 1% required in 100% · 1 open now · since Jul 2026
Show all (13)
Gemma1
LoRA1
Mistral1
Qwen1
PEFT1

Which engineering practices does Doctolib ask for?

Machine Learning is named in 18% of job postings at Doctolib, followed by AI Agents (16%), SLI/SLO/SLA (10%), CI/CD (7%).

Machine Learning 26 18% required in 100% · 11 open now · since Oct 2025
AI Agents 24 16% required in 96% · 16 open now · since Feb 2026
SLI/SLO/SLA 15 10% required in 93% · 13 open now · since Feb 2026
CI/CD 11 7% required in 100% · 9 open now · since Jan 2026
Platform Engineering 11 7% required in 100% · 9 open now · since Oct 2025
RAG 8 5% required in 100% · 6 open now · since Oct 2025
A/B Testing 7 5% required in 100% · 5 open now · since Feb 2026
LLM Guardrails 7 5% required in 86% · 6 open now · since Oct 2025
Show all (45)
Embeddings5
Incident Management4
Recommender Systems4
Reranking4
IAM4
Fine-tuning3
Function Calling3
GitOps3
Mixture of Experts3
Multimodal AI3
Prompt Engineering3
Speech Recognition3
AIOps2
EU AI Act2
FinOps2
Human-in-the-Loop2
Hybrid Search2
KV Cache2
Knowledge Distillation2
Model Distillation2
Multi-Agent Systems2
NLP2
Agentic Workflows1
Context Engineering1
ETL/ELT1
Feature Store1
IVDR1
LLMOps1
Quantization1
Reinforcement Learning1
SOAP1
Structured Outputs1

And 5 more, each named in fewer postings.

What does each Doctolib team work with?

The technologies each team's postings require most often, with the number of postings that require them.

Backend

23 postings
Java13
Kotlin10
TypeScript10
Claude Code8
Python7
Ruby5

AI/ML

23 postings
LLM10
Python10
AWS5
Claude4
Braintrust3
GCP3

Early Careers

16 postings
WordPress6
Claude4
ChatGPT3
Gemini3
Braze2
Canva2

Sales

13 postings
DALL-E8
Metabase3
SQL2
Tableau2

DevOps

10 postings
AWS7
Azure7
Kubernetes7
GCP6
Python6
Ruby6

Industrial Engineering

10 postings
Python7
Git4
Google ADK4
Java4
Kotlin4
LangChain4

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How is the Doctolib 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
KibanaOct 2026
KV CacheOct 2026
KustomizeOct 2026
Google GKEOct 2026
Google ADKOct 2026
BrazeSep 2026
Amazon S3Sep 2026
.NETSep 2026
Rising
Claude Code0% → 7%
Git0% → 7%
Canva2% → 8%
Dagster0% → 6%
Google ADK0% → 6%
LangChain2% → 7%
Google BigQuery2% → 6%
WordPress5% → 8%
Falling
Java57% → 27%
JavaScript59% → 33%
React.js52% → 28%
Python66% → 43%
TypeScript52% → 29%
Kotlin52% → 29%
React Native50% → 27%
Ruby27% → 7%
Not named for 6 months
Fluent BitMay 2026
LokiMay 2026
ThanosMay 2026
GrafanaMay 2026
CursorDec 2025

How modern is the Doctolib stack?

Cutting-edge AI adopter 81/100

Doctolib scores 81 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: 13; legacy ones: 0.

How common is the Doctolib stack in its industry?

Share of the 266 companies in the same industries, whose stack Alion knows, that use each technology.

Python54%
JavaScript60%
Java24%
TypeScript52%
Kotlin10%
React.js44%
React Native11%
GCP28%
Ruby13%
Claude36%

What sets Doctolib apart

DALL-E2%
Dagster4%
Vertex AI3%
LiteLLM1%
VLM1%
vLLM3%

Questions about the Doctolib tech stack

What programming languages does Doctolib use?

The languages named in Doctolib job postings are Python (53%), JavaScript (45%), Java (41%), TypeScript (41%), Kotlin (40%), as a share of the 148 postings of the last 12 months.

Does Doctolib use React.js?

Yes. React.js is named in 59 of 148 job postings (40%) and required in 4 of them.

What cloud and platforms does Doctolib use?

The cloud and platforms named in Doctolib job postings are GCP (22), Kubernetes (20), AWS (19) (postings in brackets).

What skills do you need for a Backend job at Doctolib?

Backend postings at Doctolib most often require Java (13), Kotlin (10), TypeScript (10), Claude Code (8), out of 23 postings in the last 12 months.

Is the Doctolib tech stack changing?

Yes. Kibana, KV Cache, Kustomize, Google GKE first appeared in Doctolib job postings in the last six months.

How modern is the Doctolib tech stack?

Doctolib scores 81 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: 13; legacy ones: 0.

How does Alion know the Doctolib tech stack?

Alion reads every job posting Doctolib publishes and tags the technologies each one names. The figures on this page count the 148 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, "Doctolib tech stack: 174 technologies from 148 job postings", as of Nov 13, 2026. https://alion.io/company/doctolib/technologies

Licence: CC BY-SA 4.0JSON