Materialplus tech stack

Materialplus builds mostly with Python, SQL, Java, SPSS. Its stack also includes AWS, Figma, PostgreSQL, Snowflake. Python is named in 4 of the 8 job postings Materialplus published in the last 12 months (50%). Counted by Alion from the job postings of Materialplus, updated Sep 30, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 30, 2026
Technologies in use
78
Postings analysed
8
Open now
6
Modernity
89 /100

What programming languages does Materialplus use?

Python is named in 50% of job postings at Materialplus, followed by SQL (25%), Java (13%), SPSS (13%).

Python 4 50% required in 100% · 3 open now · since Jul 2026
SQL 2 25% required in 100% · 1 open now · since Jul 2026
Java 1 13% required in 100% · 1 open now · since Aug 2026
SPSS 1 13% required in 100% · 1 open now · since Sep 2026
Scala 1 13% optional · 1 open now · since Aug 2026

What frameworks and libraries does Materialplus use?

AutoGen is named in 13% of job postings at Materialplus, followed by CrewAI (13%), FastAPI (13%), Flask (13%).

AutoGen 1 13% required in 100% · since Jul 2026
CrewAI 1 13% required in 100% · since Jul 2026
FastAPI 1 13% required in 100% · since Jul 2026
Flask 1 13% required in 100% · since Jul 2026
LangChain 1 13% required in 100% · since Jul 2026
LangGraph 1 13% required in 100% · since Jul 2026
LlamaIndex 1 13% required in 100% · since Jul 2026
Spring Boot 1 13% required in 100% · 1 open now · since Aug 2026
Show all (13)
Spring Framework1
Transformers1
pgvector1
Pydantic1
TruLens1

What databases does Materialplus use?

PostgreSQL is named in 25% of job postings at Materialplus, followed by Snowflake (25%), BigQuery (13%), Google BigQuery (13%).

PostgreSQL 2 25% required in 100% · 1 open now · since Jul 2026
Snowflake 2 25% required in 100% · 2 open now · since Aug 2026
BigQuery 1 13% required in 100% · 1 open now · since Sep 2026
Google BigQuery 1 13% required in 100% · 1 open now · since Sep 2026
OpenSearch 1 13% required in 100% · 1 open now · since Aug 2026
Pinecone 1 13% required in 100% · since Jul 2026
Qdrant 1 13% required in 100% · since Jul 2026

What cloud and platforms does Materialplus use?

AWS is named in 38% of job postings at Materialplus, followed by Figma (25%), Kubernetes (25%), Power BI (25%).

AWS 3 38% required in 100% · 2 open now · since Jul 2026
Figma 2 25% required in 100% · 1 open now · since Jul 2026
Kubernetes 2 25% required in 50% · 1 open now · since Jul 2026
Power BI 2 25% required in 50% · 2 open now · since Aug 2026
Tableau 2 25% required in 50% · 2 open now · since Aug 2026
AWS Lambda 1 13% required in 100% · 1 open now · since Aug 2026
Amazon CloudWatch 1 13% required in 100% · 1 open now · since Aug 2026
Amazon EventBridge 1 13% required in 100% · 1 open now · since Aug 2026
Show all (21)
Amazon S31
Anthropic1
Arize Phoenix1
Azure1
LangSmith1
OpenAI1
SonarQube1
Splunk1
Apache Kafka1
Braze1
Looker1
MLFlow1
vLLM1

What developer tools does Materialplus use?

Git is named in 25% of job postings at Materialplus, followed by Rest API (25%), AWS Glue (13%), Apache Tomcat (13%).

Git 2 25% required in 100% · 1 open now · since Jul 2026
Rest API 2 25% required in 100% · 1 open now · since Jul 2026
AWS Glue 1 13% required in 100% · 1 open now · since Aug 2026
Apache Tomcat 1 13% required in 100% · 1 open now · since Aug 2026
Docker 1 13% required in 100% · since Jul 2026
DVC 1 13% optional · since Jul 2026
Terraform 1 13% optional · 1 open now · since Aug 2026
Triton Inference Server 1 13% optional · since Jul 2026

What AI and ML technologies does Materialplus use?

Gemini is named in 25% of job postings at Materialplus, followed by ChatGPT (13%), Claude (13%), LLM (13%).

Gemini 2 25% required in 100% · since Jul 2026
ChatGPT 1 13% required in 100% · since Sep 2026
Claude 1 13% required in 100% · since Jul 2026
LLM 1 13% required in 100% · since Jul 2026
LoRA 1 13% required in 100% · since Jul 2026
PEFT 1 13% required in 100% · since Jul 2026

Which engineering practices does Materialplus ask for?

AI Agents is named in 25% of job postings at Materialplus, followed by CI/CD (25%), Machine Learning (25%), A/B Testing (13%).

AI Agents 2 25% required in 100% · 1 open now · since Jul 2026
CI/CD 2 25% required in 100% · 1 open now · since Jul 2026
Machine Learning 2 25% required in 100% · 2 open now · since Aug 2026
A/B Testing 1 13% required in 100% · 1 open now · since Aug 2026
Chain-of-Thought 1 13% required in 100% · since Jul 2026
ETL/ELT 1 13% required in 100% · 1 open now · since Aug 2026
Embeddings 1 13% required in 100% · since Jul 2026
Fine-tuning 1 13% required in 100% · since Jul 2026
Show all (18)
Function Calling1
Hallucination1
Human-in-the-Loop1
IAM1
LLM Guardrails1
Prompt Engineering1
Quantization1
RAG1
Structured Outputs1
Synthetic Data1

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How modern is the Materialplus stack?

Cutting-edge AI adopter 89/100

Materialplus scores 89 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: 6; legacy ones: 0.

How common is the Materialplus stack in its industry?

Share of the 1,201 companies in the same industries, whose stack Alion knows, that use each technology.

Python29%
AWS21%
Figma25%
Gemini6%
Kubernetes13%
PostgreSQL14%
Power BI12%
SQL26%
Snowflake7%
Tableau11%

Questions about the Materialplus tech stack

What programming languages does Materialplus use?

The languages named in Materialplus job postings are Python (50%), SQL (25%), Java (13%), SPSS (13%), Scala (13%), as a share of the 8 postings of the last 12 months.

Does Materialplus use AWS?

Yes. AWS is named in 3 of 8 job postings (38%) and required in 3 of them.

What cloud and platforms does Materialplus use?

The cloud and platforms named in Materialplus job postings are AWS (3), Figma (2), Kubernetes (2) (postings in brackets).

Is the Materialplus tech stack changing?

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

How modern is the Materialplus tech stack?

Materialplus scores 89 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: 6; legacy ones: 0.

How does Alion know the Materialplus tech stack?

Alion reads every job posting Materialplus 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 Sep 30, 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, "Materialplus tech stack: 78 technologies from 8 job postings", as of Sep 30, 2026. https://alion.io/company/materialplus/technologies

Licence: CC BY-SA 4.0JSON