JobNoc tech stack

JobNoc builds mostly with Python, Scala. Its stack also includes AWS, Azure, PyTorch, Scikit-learn. Python is named in 3 of the 3 job postings JobNoc published in the last 12 months (100%). Counted by Alion from the job postings of JobNoc, updated Oct 25, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 25, 2026
Technologies in use
13
Postings analysed
3
Open now
2
Modernity
77 /100

What programming languages does JobNoc use?

Python is named in 100% of job postings at JobNoc, followed by Scala (100%).

Python 3 100% required in 100% · 2 open now · since Sep 2026
Scala 3 100% required in 100% · 2 open now · since Sep 2026

What frameworks and libraries does JobNoc use?

PyTorch is named in 100% of job postings at JobNoc, followed by Scikit-learn (100%), TensorFlow (100%), Hadoop (100%).

PyTorch 3 100% required in 100% · 2 open now · since Sep 2026
Scikit-learn 3 100% required in 100% · 2 open now · since Sep 2026
TensorFlow 3 100% required in 100% · 2 open now · since Sep 2026
Hadoop 3 100% optional · 2 open now · since Sep 2026

What cloud and platforms does JobNoc use?

AWS is named in 100% of job postings at JobNoc, followed by Azure (100%), GCP (100%), Power BI (100%).

AWS 3 100% optional · 2 open now · since Sep 2026
Azure 3 100% optional · 2 open now · since Sep 2026
GCP 3 100% optional · 2 open now · since Sep 2026
Power BI 3 100% optional · 2 open now · since Sep 2026
Spark 3 100% optional · 2 open now · since Sep 2026
Tableau 3 100% optional · 2 open now · since Sep 2026

Which engineering practices does JobNoc ask for?

Machine Learning is named in 100% of job postings at JobNoc.

Machine Learning 3 100% required in 100% · 2 open now · since Sep 2026

What does each JobNoc team work with?

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

Leadership

3 postings
PyTorch3
Python3
Scala3
Scikit-learn3
TensorFlow3

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How modern is the JobNoc stack?

Cutting-edge 77/100

JobNoc scores 77 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: 0; legacy ones: 0.

How common is the JobNoc stack in its industry?

Share of the 2,954 companies in the same industries, whose stack Alion knows, that use each technology.

AWS34%
Azure34%
GCP23%
Hadoop5%
Power BI20%
PyTorch10%
Python44%
Scala5%
Scikit-learn7%
Spark12%

Questions about the JobNoc tech stack

What programming languages does JobNoc use?

The languages named in JobNoc job postings are Python (100%), Scala (100%), as a share of the 3 postings of the last 12 months.

Does JobNoc use PyTorch?

Yes. PyTorch is named in 3 of 3 job postings (100%) and required in 3 of them.

What cloud and platforms does JobNoc use?

The cloud and platforms named in JobNoc job postings are AWS (3), Azure (3), GCP (3) (postings in brackets).

What skills do you need for a Leadership job at JobNoc?

Leadership postings at JobNoc most often require PyTorch (3), Python (3), Scala (3), Scikit-learn (3), out of 3 postings in the last 12 months.

Is the JobNoc tech stack changing?

No new technology has appeared in JobNoc job postings in the last six months.

How modern is the JobNoc tech stack?

JobNoc scores 77 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: 0; legacy ones: 0.

How does Alion know the JobNoc tech stack?

Alion reads every job posting JobNoc publishes and tags the technologies each one names. The figures on this page count the 3 postings of the last 12 months and were updated on Oct 25, 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, "JobNoc tech stack: 13 technologies from 3 job postings", as of Oct 25, 2026. https://alion.io/company/jobnoc/technologies

Licence: CC BY-SA 4.0JSON