MNTSQ tech stack

MNTSQ builds mostly with JavaScript, Python, Ruby, TypeScript. Its stack also includes AWS Fargate, Amazon CloudWatch, Amazon Aurora, ElasticSearch. JavaScript is named in 5 of the 8 job postings MNTSQ published in the last 12 months (63%). Counted by Alion from the job postings of MNTSQ, updated Oct 16, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 16, 2026
Technologies in use
26
Postings analysed
8
Open now
7
Modernity
77 /100

What programming languages does MNTSQ use?

JavaScript is named in 63% of job postings at MNTSQ, followed by Python (63%), Ruby (63%), TypeScript (63%).

JavaScript 5 63% required in 100% · 5 open now · since Dec 2025
Python 5 63% required in 100% · 5 open now · since Dec 2024
Ruby 5 63% required in 100% · 5 open now · since Dec 2025
TypeScript 5 63% required in 100% · 5 open now · since Dec 2024

What frameworks and libraries does MNTSQ use?

Element Plus is named in 63% of job postings at MNTSQ, followed by FastAPI (63%), Ruby on Rails (63%), Vue.js (63%).

Element Plus 5 63% required in 100% · 5 open now · since Dec 2025
FastAPI 5 63% required in 100% · 5 open now · since Dec 2024
Ruby on Rails 5 63% required in 100% · 5 open now · since Dec 2025
Vue.js 5 63% required in 100% · 5 open now · since Dec 2025

What databases does MNTSQ use?

Amazon Aurora is named in 63% of job postings at MNTSQ, followed by ElasticSearch (63%), MySQL (63%), OpenSearch (63%).

Amazon Aurora 5 63% required in 100% · 5 open now · since Dec 2025
ElasticSearch 5 63% required in 100% · 5 open now · since Dec 2024
MySQL 5 63% required in 100% · 5 open now · since Dec 2024
OpenSearch 5 63% required in 100% · 5 open now · since Dec 2024

What cloud and platforms does MNTSQ use?

AWS Fargate is named in 63% of job postings at MNTSQ, followed by Amazon CloudWatch (63%), Amazon ECS (63%), Datadog (63%).

AWS Fargate 5 63% required in 100% · 5 open now · since Dec 2025
Amazon CloudWatch 5 63% required in 100% · 5 open now · since Dec 2025
Amazon ECS 5 63% required in 100% · 5 open now · since Dec 2025
Datadog 5 63% required in 100% · 5 open now · since Dec 2025
GCP 5 63% required in 100% · 5 open now · since Dec 2024
AWS 5 63% required in 20% · 5 open now · since Dec 2024

What developer tools does MNTSQ use?

Docker is named in 63% of job postings at MNTSQ, followed by Docker Compose (63%), PostCSS (63%), Storybook (63%).

Docker 5 63% required in 100% · 5 open now · since Dec 2024
Docker Compose 5 63% required in 100% · 5 open now · since Dec 2025
PostCSS 5 63% required in 100% · 5 open now · since Dec 2025
Storybook 5 63% required in 100% · 5 open now · since Dec 2025
Terraform 5 63% required in 100% · 5 open now · since Dec 2025
Claude Code 1 13% required in 100% · 1 open now · since Dec 2025

What AI and ML technologies does MNTSQ use?

LLM is named in 50% of job postings at MNTSQ.

LLM 4 50% required in 100% · 4 open now · since Dec 2025

Which engineering practices does MNTSQ ask for?

AI Agents is named in 100% of job postings at MNTSQ.

AI Agents 8 100% required in 100% · 7 open now · since Dec 2024

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How is the MNTSQ 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.

Not named for 6 months
AWS FargateMar 2026
Amazon AuroraMar 2026
Amazon CloudWatchMar 2026
Amazon ECSMar 2026
DatadogMar 2026
DockerMar 2026
Docker ComposeMar 2026
ElasticSearchMar 2026

How modern is the MNTSQ stack?

Cutting-edge AI adopter 77/100

MNTSQ 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: 1; legacy ones: 0.

How common is the MNTSQ stack in its industry?

Share of the 169 companies in the same industries, whose stack Alion knows, that use each technology.

AWS47%
AWS Fargate4%
Amazon Aurora6%
Amazon CloudWatch11%
Amazon ECS12%
Datadog15%
ElasticSearch17%
Element Plus1%
FastAPI10%
GCP30%

What sets MNTSQ apart

AWS Fargate4%
Element Plus1%

Questions about the MNTSQ tech stack

What programming languages does MNTSQ use?

The languages named in MNTSQ job postings are JavaScript (63%), Python (63%), Ruby (63%), TypeScript (63%), as a share of the 8 postings of the last 12 months.

Does MNTSQ use Element Plus?

Yes. Element Plus is named in 5 of 8 job postings (63%) and required in 5 of them.

What cloud and platforms does MNTSQ use?

The cloud and platforms named in MNTSQ job postings are AWS Fargate (5), Amazon CloudWatch (5), Amazon ECS (5) (postings in brackets).

Is the MNTSQ tech stack changing?

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

How modern is the MNTSQ tech stack?

MNTSQ 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: 1; legacy ones: 0.

How does Alion know the MNTSQ tech stack?

Alion reads every job posting MNTSQ publishes and tags the technologies each one names. The figures on this page count the 8 postings of the last 12 months and were updated on Oct 16, 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, "MNTSQ tech stack: 26 technologies from 8 job postings", as of Oct 16, 2026. https://alion.io/company/mntsq/technologies

Licence: CC BY-SA 4.0JSON