Magnet Forensics tech stack
Magnet Forensics builds mostly with Python, C#, JavaScript, TypeScript. Its stack also includes AWS, Linux, Pytest, ElasticSearch. Python is named in 24 of the 51 job postings Magnet Forensics published in the last 12 months (47%). Counted by Alion from the job postings of Magnet Forensics, updated Nov 12, 2026.
What programming languages does Magnet Forensics use?
Python is named in 47% of job postings at Magnet Forensics, followed by C# (31%), JavaScript (20%), TypeScript (16%).
Python
24 47%
C#
16 31%
JavaScript
10 20%
TypeScript
8 16%
PowerShell
7 14%
SQL
6 12%
C++
5 10%
Java
3 6%
Show all (11)
What frameworks and libraries does Magnet Forensics use?
Pytest is named in 10% of job postings at Magnet Forensics, followed by OpenTelemetry (8%), React.js (4%), Appium (4%).
Pytest
5 10%
OpenTelemetry
4 8%
React.js
2 4%
Appium
2 4%
Jest
2 4%
ASP.NET Core
1 2%
Haystack
1 2%
PyTorch
1 2%
Show all (11)
What databases does Magnet Forensics use?
ElasticSearch is named in 8% of job postings at Magnet Forensics, followed by Redis (8%), OpenSearch (6%), PostgreSQL (6%).
ElasticSearch
4 8%
Redis
4 8%
OpenSearch
3 6%
PostgreSQL
3 6%
ClickHouse
1 2%
MySQL
1 2%
Snowflake
1 2%
DynamoDB
1 2%
What cloud and platforms does Magnet Forensics use?
AWS is named in 31% of job postings at Magnet Forensics, followed by Linux (22%), Kubernetes (22%), Azure (16%).
AWS
16 31%
Kubernetes
11 22%
Azure
8 16%
Grafana
7 14%
GitLab
4 8%
Amazon EC2
3 6%
.NET
3 6%
Show all (28)
What developer tools does Magnet Forensics use?
Docker is named in 16% of job postings at Magnet Forensics, followed by Copilot (14%), Terraform (12%), Microsoft Excel (10%).
Docker
8 16%
Copilot
7 14%
Terraform
6 12%
Claude Code
5 10%
Cursor
5 10%
Jenkins
5 10%
Git
4 8%
Show all (26)
What AI and ML technologies does Magnet Forensics use?
Claude is named in 20% of job postings at Magnet Forensics, followed by LLM (10%), ChatGPT (2%).
Which engineering practices does Magnet Forensics ask for?
CI/CD is named in 33% of job postings at Magnet Forensics, followed by AI Agents (22%), Machine Learning (12%), FinOps (10%).
CI/CD
17 33%
AI Agents
11 22%
FinOps
5 10%
Platform Engineering
5 10%
Show all (22)
What does each Magnet Forensics team work with?
The technologies each team's postings require most often, with the number of postings that require them.
DevOps
11 postingsBackend
10 postingsQA
5 postingsSecurity
3 postingsHow does your stack fit Magnet Forensics?
How much does Magnet Forensics pay by technology?
Median stated pay of the postings that name each technology, against the median of all Magnet Forensics postings with stated pay: $135k across 13 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 8 | $170k | +25% |
| Linux | 6 | $130k | −4% |
| AWS | 5 | $136k | 0% |
| Kubernetes | 5 | $135k | 0% |
| C# | 5 | $113k | −17% |
How is the Magnet Forensics 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 Magnet Forensics stack?
Magnet Forensics scores 87 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 Magnet Forensics stack in its industry?
Share of the 338 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Magnet Forensics apart
Magnet Forensics products in its job postings
Postings at Magnet Forensics name its own products. They describe what the company makes, so they are left out of the stack above.
Companies with a stack like Magnet Forensics
Extreme Networks
86 shared technologies
Proofpoint
89 shared technologies
Check Point Software Technologies
89 shared technologies
SentinelOne
86 shared technologies
Trend Micro
97 shared technologies
Ekfrazo Technologies
93 shared technologies
SailPoint
88 shared technologies
NICE
98 shared technologies
Questions about the Magnet Forensics tech stack
What programming languages does Magnet Forensics use?
The languages named in Magnet Forensics job postings are Python (47%), C# (31%), JavaScript (20%), TypeScript (16%), PowerShell (14%), as a share of the 51 postings of the last 12 months.
Does Magnet Forensics use Pytest?
Yes. Pytest is named in 5 of 51 job postings (10%) and required in 2 of them.
What cloud and platforms does Magnet Forensics use?
The cloud and platforms named in Magnet Forensics job postings are AWS (16), Linux (11), Kubernetes (11) (postings in brackets).
What skills do you need for a DevOps job at Magnet Forensics?
DevOps postings at Magnet Forensics most often require Python (8), AWS (7), Claude (5), PowerShell (5), out of 11 postings in the last 12 months.
Is the Magnet Forensics tech stack changing?
Yes. GCP, Model Context Protocol, Bash, React.js first appeared in Magnet Forensics job postings in the last six months.
How modern is the Magnet Forensics tech stack?
Magnet Forensics scores 87 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 Magnet Forensics tech stack?
Alion reads every job posting Magnet Forensics publishes and tags the technologies each one names. The figures on this page count the 51 postings of the last 12 months and were updated on Nov 12, 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, "Magnet Forensics tech stack: 109 technologies from 51 job postings", as of Nov 12, 2026. https://alion.io/company/magnet-forensics/technologies