Q2 Holdings tech stack

Q2 Holdings builds mostly with Python, SQL, C#, Java. Its stack also includes Spark, Scikit-learn, PyTorch, Windows. Python is named in 21 of the 36 job postings Q2 Holdings published in the last 12 months (58%). Counted by Alion from the job postings of Q2 Holdings, updated Oct 14, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 14, 2026
Technologies in use
83
Postings analysed
36
Open now
35
Modernity
85 /100

What programming languages does Q2 Holdings use?

Python is named in 58% of job postings at Q2 Holdings, followed by SQL (39%), C# (28%), Java (22%).

Python 21 58% required in 90% · 21 open now · since Aug 2026
SQL 14 39% required in 86% · 14 open now · since Aug 2026
C# 10 28% required in 90% · 10 open now · since Sep 2026
Java 8 22% required in 100% · 8 open now · since Aug 2026
JavaScript 5 14% required in 80% · 5 open now · since Sep 2026
TypeScript 4 11% required in 75% · 4 open now · since Sep 2026
Bash 2 6% required in 100% · 2 open now · since Sep 2026
PowerShell 2 6% required in 100% · 2 open now · since Sep 2026
Show all (10)
Go1
Perl1

What frameworks and libraries does Q2 Holdings use?

Scikit-learn is named in 19% of job postings at Q2 Holdings, followed by PyTorch (17%), TensorFlow (17%), Transformers (6%).

Scikit-learn 7 19% required in 86% · 6 open now · since Aug 2026
PyTorch 6 17% required in 100% · 5 open now · since Aug 2026
TensorFlow 6 17% required in 100% · 5 open now · since Aug 2026
Transformers 2 6% optional · 2 open now · since Sep 2026
Angular 1 3% required in 100% · 1 open now · since Sep 2026
React.js 1 3% required in 100% · 1 open now · since Sep 2026
Vue.js 1 3% required in 100% · 1 open now · since Sep 2026
NumPy 1 3% optional · 1 open now · since Aug 2026
Show all (11)
Pandas1
Selenium1
XGBoost1

What databases does Q2 Holdings use?

MS SQL is named in 6% of job postings at Q2 Holdings, followed by DynamoDB (3%), PostgreSQL (3%), Snowflake (3%).

MS SQL 2 6% required in 100% · 2 open now · since Sep 2026
DynamoDB 1 3% required in 100% · 1 open now · since Sep 2026
PostgreSQL 1 3% required in 100% · 1 open now · since Sep 2026
Snowflake 1 3% required in 100% · 1 open now · since Sep 2026

What cloud and platforms does Q2 Holdings use?

Spark is named in 58% of job postings at Q2 Holdings, followed by Windows (14%), AWS (14%), Windows Server (11%).

Spark 21 58% required in 43% · 21 open now · since Aug 2026
Windows 5 14% required in 100% · 5 open now · since Sep 2026
AWS 5 14% required in 60% · 5 open now · since Aug 2026
Windows Server 4 11% required in 100% · 4 open now · since Sep 2026
Azure 4 11% required in 75% · 4 open now · since Aug 2026
Power BI 4 11% required in 75% · 4 open now · since Aug 2026
Grafana 3 8% required in 100% · 3 open now · since Sep 2026
Linux 3 8% required in 100% · 3 open now · since Sep 2026
Show all (24)
Splunk3
GCP3
Kubernetes3
.NET2
Amazon S32
CentOS Stream2
Red Hat2
Tableau2
AWS Lambda1
Amazon EKS1
Amazon Kinesis1
Figma1
InVision1
VMWare1
Bitbucket1
GitLab1

What developer tools does Q2 Holdings use?

Git is named in 11% of job postings at Q2 Holdings, followed by Claude Code (11%), Docker (8%), Model Context Protocol (8%).

Git 4 11% required in 100% · 4 open now · since Aug 2026
Claude Code 4 11% required in 25% · 3 open now · since Sep 2026
Docker 3 8% required in 100% · 3 open now · since Sep 2026
Model Context Protocol 3 8% required in 67% · 3 open now · since Aug 2026
Nginx 2 6% required in 100% · 2 open now · since Sep 2026
Terraform 2 6% required in 100% · 2 open now · since Sep 2026
Adobe XD 1 3% required in 100% · 1 open now · since Aug 2026
CloudFormation 1 3% required in 100% · 1 open now · since Sep 2026
Show all (11)
Microsoft Excel1
Sketch1
Copilot1

What AI and ML technologies does Q2 Holdings use?

LLM is named in 17% of job postings at Q2 Holdings, followed by LoRA (6%), PEFT (6%), ChatGPT (3%).

LLM 6 17% required in 100% · 6 open now · since Aug 2026
LoRA 2 6% required in 100% · 2 open now · since Sep 2026
PEFT 2 6% required in 100% · 2 open now · since Sep 2026
ChatGPT 1 3% required in 100% · 1 open now · since Oct 2026
Claude 1 3% required in 100% · 1 open now · since Oct 2026

Which engineering practices does Q2 Holdings ask for?

Machine Learning is named in 36% of job postings at Q2 Holdings, followed by AI Agents (19%), LLM Guardrails (14%), Agentic Workflows (11%).

Machine Learning 13 36% required in 92% · 12 open now · since Aug 2026
AI Agents 7 19% required in 71% · 7 open now · since Aug 2026
LLM Guardrails 5 14% required in 100% · 5 open now · since Sep 2026
Agentic Workflows 4 11% required in 100% · 4 open now · since Aug 2026
CI/CD 4 11% required in 100% · 4 open now · since Aug 2026
Human-in-the-Loop 4 11% required in 100% · 4 open now · since Sep 2026
RAG 4 11% required in 100% · 4 open now · since Aug 2026
Prompt Engineering 3 8% required in 100% · 3 open now · since Aug 2026
Show all (18)
ETL/ELT2
Hallucination2
SFT2
Tool Use2
Configuration Management1
IAM1
Platform Engineering1
Progressive Delivery1
SLI/SLO/SLA1
Tokenomics1

What does each Q2 Holdings team work with?

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

Backend

10 postings
Python8
C#7
SQL6
Spark5
JavaScript4
AWS3

AI/ML

8 postings
Java7
Python7
PyTorch6
Scikit-learn6
TensorFlow6
Spark4

Support

4 postings
SQL3
Windows3
Windows Server3

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How modern is the Q2 Holdings stack?

Cutting-edge AI adopter 85/100

Q2 Holdings scores 85 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: 5; legacy ones: 0.

How common is the Q2 Holdings stack in its industry?

Share of the 1,590 companies in the same industries, whose stack Alion knows, that use each technology.

Python49%
Spark10%
SQL53%
C#19%
Java29%
Scikit-learn4%
LLM22%
PyTorch6%
TensorFlow4%
AWS39%

What sets Q2 Holdings apart

Scikit-learn4%
TensorFlow4%

Questions about the Q2 Holdings tech stack

What programming languages does Q2 Holdings use?

The languages named in Q2 Holdings job postings are Python (58%), SQL (39%), C# (28%), Java (22%), JavaScript (14%), as a share of the 36 postings of the last 12 months.

Does Q2 Holdings use Scikit-learn?

Yes. Scikit-learn is named in 7 of 36 job postings (19%) and required in 6 of them.

What cloud and platforms does Q2 Holdings use?

The cloud and platforms named in Q2 Holdings job postings are Spark (21), Windows (5), AWS (5) (postings in brackets).

What skills do you need for a Backend job at Q2 Holdings?

Backend postings at Q2 Holdings most often require Python (8), C# (7), SQL (6), Spark (5), out of 10 postings in the last 12 months.

Is the Q2 Holdings tech stack changing?

No new technology has appeared in Q2 Holdings job postings in the last six months.

How modern is the Q2 Holdings tech stack?

Q2 Holdings scores 85 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: 5; legacy ones: 0.

How does Alion know the Q2 Holdings tech stack?

Alion reads every job posting Q2 Holdings publishes and tags the technologies each one names. The figures on this page count the 36 postings of the last 12 months and were updated on Oct 14, 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, "Q2 Holdings tech stack: 83 technologies from 36 job postings", as of Oct 14, 2026. https://alion.io/company/q2-holdings/technologies

Licence: CC BY-SA 4.0JSON