Softeq tech stack
Softeq builds mostly with Python, SQL, C++, Kotlin. Its stack also includes Databricks, Azure, MySQL, PostgreSQL. Python is named in 9 of the 17 job postings Softeq published in the last 12 months (53%). Counted by Alion from the job postings of Softeq, updated Sep 26, 2026.
What programming languages does Softeq use?
Python is named in 53% of job postings at Softeq, followed by SQL (41%), C++ (24%), Kotlin (12%).
Python
9 53%
SQL
7 41%
C++
4 24%
Kotlin
2 12%
JavaScript
2 12%
Node JS
2 12%
Swift
1 6%
TypeScript
1 6%
Show all (9)
What frameworks and libraries does Softeq use?
FastAPI is named in 12% of job postings at Softeq, followed by Jetpack Compose (6%), LiteRT (6%), Metal (6%).
FastAPI
2 12%
Jetpack Compose
1 6%
Metal
1 6%
Nest.JS
1 6%
Next.js
1 6%
PyTorch
1 6%
Show all (17)
What databases does Softeq use?
MySQL is named in 12% of job postings at Softeq, followed by PostgreSQL (12%), Amazon Redshift (6%), BigQuery (6%).
MySQL
2 12%
PostgreSQL
2 12%
Amazon Redshift
1 6%
BigQuery
1 6%
Delta Lake
1 6%
Google BigQuery
1 6%
MS SQL
1 6%
Snowflake
1 6%
What cloud and platforms does Softeq use?
Databricks is named in 29% of job postings at Softeq, followed by Azure (29%), AWS (24%), RTOS (18%).
Show all (23)
What developer tools does Softeq use?
Git is named in 18% of job postings at Softeq, followed by Docker (18%), Claude Code (12%), Copilot (12%).
Git
3 18%
Docker
3 18%
Claude Code
2 12%
Copilot
2 12%
pySpark
2 12%
ArgoCD
1 6%
Bicep
1 6%
Show all (23)
What AI and ML technologies does Softeq use?
Core ML is named in 6% of job postings at Softeq, followed by LLM (6%).
Which engineering practices does Softeq ask for?
CI/CD is named in 29% of job postings at Softeq, followed by Time Series Forecasting (18%), Anomaly Detection (12%), Computer Vision (12%).
CI/CD
5 29%
Time Series Forecasting
3 18%
Anomaly Detection
2 12%
Computer Vision
2 12%
AIOps
1 6%
Clean Architecture
1 6%
Show all (31)
What other technologies does Softeq use?
Kotlin Coroutines is named in 6% of job postings at Softeq, followed by Kotlin Flow (6%).
Kotlin Coroutines
1 6%
Kotlin Flow
1 6%
What does each Softeq team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
3 postingsHardware
3 postingsHow does your stack fit Softeq?
How is the Softeq 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 Softeq stack?
Softeq scores 79 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: 2; legacy ones: 0.
How common is the Softeq stack in its industry?
Share of the 1,110 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Softeq apart
Companies with a stack like Softeq
DVT
78 shared technologies
Hatch IT
72 shared technologies
Sigma Software Group
95 shared technologies
Rivian and Volkswagen Group Technologies
78 shared technologies
InMobi
81 shared technologies
HARMAN International
100 shared technologies
Reddit
71 shared technologies
DataArt
75 shared technologies
Questions about the Softeq tech stack
What programming languages does Softeq use?
The languages named in Softeq job postings are Python (53%), SQL (41%), C++ (24%), Kotlin (12%), JavaScript (12%), as a share of the 17 postings of the last 12 months.
Does Softeq use FastAPI?
Yes. FastAPI is named in 2 of 17 job postings (12%) and required in 2 of them.
What cloud and platforms does Softeq use?
The cloud and platforms named in Softeq job postings are Databricks (5), Azure (5), AWS (4) (postings in brackets).
What skills do you need for a AI/ML job at Softeq?
AI/ML postings at Softeq most often require Python (3), Databricks (2), MLFlow (2), SQL (2), out of 3 postings in the last 12 months.
Is the Softeq tech stack changing?
Yes. Spark, pySpark, FastAPI, Databricks first appeared in Softeq job postings in the last six months.
How modern is the Softeq tech stack?
Softeq scores 79 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: 2; legacy ones: 0.
How does Alion know the Softeq tech stack?
Alion reads every job posting Softeq publishes and tags the technologies each one names. The figures on this page count the 17 postings of the last 12 months and were updated on Sep 26, 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, "Softeq tech stack: 115 technologies from 17 job postings", as of Sep 26, 2026. https://alion.io/company/softeq/technologies