Momentum Engineering tech stack
Momentum Engineering builds mostly with Python, Java, SQL, JavaScript. Its stack also includes Kubernetes, AWS, PostgreSQL, Spring Boot. Python is named in 43 of the 72 job postings Momentum Engineering published in the last 12 months (60%). Counted by Alion from the job postings of Momentum Engineering, updated Sep 26, 2026.
What programming languages does Momentum Engineering use?
Python is named in 60% of job postings at Momentum Engineering, followed by Java (40%), SQL (25%), JavaScript (17%).
Python
43 60%
Java
29 40%
SQL
18 25%
JavaScript
12 17%
Bash
8 11%
C++
7 10%
TypeScript
5 7%
Kotlin
4 6%
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What frameworks and libraries does Momentum Engineering use?
Spring Boot is named in 14% of job postings at Momentum Engineering, followed by Hadoop (13%), Spring Framework (7%), Angular (6%).
Spring Boot
10 14%
Hadoop
9 13%
Spring Framework
5 7%
Angular
4 6%
Pandas
4 6%
React.js
4 6%
Bootstrap
3 4%
JQuery
3 4%
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What databases does Momentum Engineering use?
PostgreSQL is named in 14% of job postings at Momentum Engineering, followed by ElasticSearch (13%), Oracle (6%), DynamoDB (4%).
PostgreSQL
10 14%
ElasticSearch
9 13%
Oracle
4 6%
DynamoDB
3 4%
Amazon Redshift
2 3%
MySQL
2 3%
Neo4j
2 3%
OpenSearch
2 3%
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What cloud and platforms does Momentum Engineering use?
Kubernetes is named in 42% of job postings at Momentum Engineering, followed by AWS (40%), Linux (31%), GitLab (17%).
Kubernetes
30 42%
AWS
29 40%
GitLab
12 17%
GitLab CI
6 8%
Grafana
6 8%
Red Hat
6 8%
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What developer tools does Momentum Engineering use?
Docker is named in 32% of job postings at Momentum Engineering, followed by Ansible (21%), Apache NiFi (21%), Terraform (18%).
Docker
23 32%
Ansible
15 21%
Terraform
13 18%
Git
9 13%
Maven
8 11%
Jenkins
6 8%
Prometheus
6 8%
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What AI and ML technologies does Momentum Engineering use?
LLM is named in 1% of job postings at Momentum Engineering.
LLM
1 1%
Which engineering practices does Momentum Engineering ask for?
CI/CD is named in 40% of job postings at Momentum Engineering, followed by Configuration Management (17%), Machine Learning (15%), ETL/ELT (7%).
CI/CD
29 40%
Configuration Management
12 17%
NLP
4 6%
Show all (25)
What does each Momentum Engineering team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
31 postingsData Science
21 postingsDevOps
9 postingsSecurity
6 postingsHow does your stack fit Momentum Engineering?
How is the Momentum Engineering 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 Momentum Engineering stack?
Momentum Engineering scores 72 out of 100 (Modern). 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.
Companies with a stack like Momentum Engineering
Cyber, Data Analytics & Engineering Services
97 shared technologies
Freedom Consulting Group
109 shared technologies
Apply Tracker
98 shared technologies
BigBear AI
101 shared technologies
Bespoke Technologies
97 shared technologies
GRVTY
113 shared technologies
Worldpay
111 shared technologies
PayPal
100 shared technologies
Questions about the Momentum Engineering tech stack
What programming languages does Momentum Engineering use?
The languages named in Momentum Engineering job postings are Python (60%), Java (40%), SQL (25%), JavaScript (17%), Bash (11%), as a share of the 72 postings of the last 12 months.
Does Momentum Engineering use Spring Boot?
Yes. Spring Boot is named in 10 of 72 job postings (14%) and required in 10 of them.
What cloud and platforms does Momentum Engineering use?
The cloud and platforms named in Momentum Engineering job postings are Kubernetes (30), AWS (29), Linux (22) (postings in brackets).
What skills do you need for a Backend job at Momentum Engineering?
Backend postings at Momentum Engineering most often require Java (20), Kubernetes (20), Python (19), AWS (16), out of 31 postings in the last 12 months.
Is the Momentum Engineering tech stack changing?
Yes. AI Agents, Polars, pySpark, RAG first appeared in Momentum Engineering job postings in the last six months.
How modern is the Momentum Engineering tech stack?
Momentum Engineering scores 72 out of 100 (Modern). 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 Momentum Engineering tech stack?
Alion reads every job posting Momentum Engineering publishes and tags the technologies each one names. The figures on this page count the 72 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, "Momentum Engineering tech stack: 164 technologies from 72 job postings", as of Sep 26, 2026. https://alion.io/company/momentumengineering/technologies