XITASO tech stack

XITASO builds mostly with Python, JavaScript, C#, Rust. Its stack also includes AWS, Azure, PyTorch, Transformers. AWS is named in 8 of the 13 job postings XITASO published in the last 12 months (62%). Counted by Alion from the job postings of XITASO, updated Oct 15, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 15, 2026
Technologies in use
32
Postings analysed
13
Open now
5
Modernity
80 /100
New in 6 months
5

What programming languages does XITASO use?

Python is named in 15% of job postings at XITASO, followed by JavaScript (15%), C# (8%), Rust (8%).

Python 2 15% required in 100% · 1 open now · since May 2026
JavaScript 2 15% required in 50% · 2 open now · since Jun 2023
C# 1 8% required in 100% · 1 open now · since Jun 2023
Rust 1 8% required in 100% · 1 open now · since Aug 2026

What frameworks and libraries does XITASO use?

PyTorch is named in 15% of job postings at XITASO, followed by Transformers (8%), nuScenes SDK (8%).

PyTorch 2 15% required in 100% · 1 open now · since May 2026
Transformers 1 8% required in 100% · 1 open now · since May 2026
nuScenes SDK 1 8% required in 100% · 1 open now · since May 2026

What cloud and platforms does XITASO use?

AWS is named in 62% of job postings at XITASO, followed by Azure (62%), GitLab (62%), Kubernetes (62%).

AWS 8 62% required in 100% · 1 open now · since Dec 2025
Azure 8 62% required in 100% · 1 open now · since Dec 2025
GitLab 8 62% required in 100% · 1 open now · since Dec 2025
Kubernetes 8 62% required in 100% · 1 open now · since Dec 2025
Figma 1 8% required in 100% · 1 open now · since Sep 2026
GCP 1 8% required in 100% · 1 open now · since Dec 2025
GitHub 1 8% required in 100% · 1 open now · since Aug 2026

What developer tools does XITASO use?

Ansible is named in 62% of job postings at XITASO, followed by Prometheus (62%), Terraform (62%), Claude Code (15%).

Ansible 8 62% required in 100% · 1 open now · since Dec 2025
Prometheus 8 62% required in 100% · 1 open now · since Dec 2025
Terraform 8 62% required in 100% · 1 open now · since Dec 2025
Claude Code 2 15% required in 100% · 2 open now · since May 2026
Copilot 1 8% required in 100% · 1 open now · since May 2026
Sketch 1 8% required in 100% · 1 open now · since Sep 2026

What AI and ML technologies does XITASO use?

Gaussian Splatting is named in 15% of job postings at XITASO, followed by CLIP (8%), DINOv2 (8%).

Gaussian Splatting 2 15% required in 100% · 1 open now · since May 2026
CLIP 1 8% required in 100% · 1 open now · since May 2026
DINOv2 1 8% required in 100% · 1 open now · since May 2026

Which engineering practices does XITASO ask for?

Computer Vision is named in 15% of job postings at XITASO, followed by Configuration Management (8%), Knowledge Distillation (8%), Localization (8%).

Computer Vision 2 15% required in 100% · 1 open now · since May 2026
Configuration Management 1 8% required in 100% · 1 open now · since Dec 2025
Knowledge Distillation 1 8% required in 100% · 1 open now · since May 2026
Localization 1 8% required in 100% · since Aug 2026
Model Distillation 1 8% required in 100% · 1 open now · since May 2026
NeRF 1 8% required in 100% · since Aug 2026
Perception 1 8% required in 100% · since Aug 2026
Pre-training 1 8% required in 100% · since Aug 2026
Show all (9)
World Models1

What does each XITASO team work with?

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

DevOps

8 postings
AWS8
Ansible8
Azure8
GitLab8
Kubernetes8
Prometheus8

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How is the XITASO 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
Claude CodeMay 2026
Computer VisionMay 2026
Gaussian SplattingMay 2026
PyTorchMay 2026
PythonMay 2026

How modern is the XITASO stack?

Cutting-edge AI adopter 80/100

XITASO scores 80 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: 3; legacy ones: 0.

How common is the XITASO stack in its industry?

Share of the 1,142 companies in the same industries, whose stack Alion knows, that use each technology.

AWS48%
Azure45%
GitLab25%
Kubernetes48%
Gaussian Splatting0%
JavaScript64%
PyTorch14%
Python58%
C#34%
CLIP0%

Questions about the XITASO tech stack

What programming languages does XITASO use?

The languages named in XITASO job postings are Python (15%), JavaScript (15%), C# (8%), Rust (8%), as a share of the 13 postings of the last 12 months.

Does XITASO use PyTorch?

Yes. PyTorch is named in 2 of 13 job postings (15%) and required in 2 of them.

What cloud and platforms does XITASO use?

The cloud and platforms named in XITASO job postings are AWS (8), Azure (8), GitLab (8) (postings in brackets).

What skills do you need for a DevOps job at XITASO?

DevOps postings at XITASO most often require AWS (8), Ansible (8), Azure (8), GitLab (8), out of 8 postings in the last 12 months.

Is the XITASO tech stack changing?

Yes. Claude Code, Computer Vision, Gaussian Splatting, PyTorch first appeared in XITASO job postings in the last six months.

How modern is the XITASO tech stack?

XITASO scores 80 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: 3; legacy ones: 0.

How does Alion know the XITASO tech stack?

Alion reads every job posting XITASO publishes and tags the technologies each one names. The figures on this page count the 13 postings of the last 12 months and were updated on Oct 15, 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, "XITASO tech stack: 32 technologies from 13 job postings", as of Oct 15, 2026. https://alion.io/company/xitaso-gmbh/technologies

Licence: CC BY-SA 4.0JSON