project44 tech stack
project44 builds mostly with SQL, Java, Python, C++. Its stack also includes Apache Kafka, Kubernetes, PostgreSQL, DynamoDB. SQL is named in 16 of the 34 job postings project44 published in the last 12 months (47%). Counted by Alion from the job postings of project44, updated Sep 27, 2026.
What programming languages does project44 use?
SQL is named in 47% of job postings at project44, followed by Java (21%), Python (18%), C++ (9%).
What frameworks and libraries does project44 use?
FastAI is named in 15% of job postings at project44, followed by PyTorch (15%).
What databases does project44 use?
PostgreSQL is named in 21% of job postings at project44, followed by DynamoDB (21%), Snowflake (15%).
What cloud and platforms does project44 use?
Apache Kafka is named in 35% of job postings at project44, followed by Kubernetes (32%), GCP (24%), Azure (21%).
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What developer tools does project44 use?
Docker is named in 29% of job postings at project44, followed by Rest API (24%), Swagger (21%), Model Context Protocol (9%).
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What AI and ML technologies does project44 use?
LLM is named in 26% of job postings at project44, followed by Claude (21%).
Which engineering practices does project44 ask for?
AI Agents is named in 44% of job postings at project44, followed by Prompt Engineering (15%), IAM (12%), SLI/SLO/SLA (12%).
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What does each project44 team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
9 postingsProduct
5 postingsDevOps
3 postingsCustomer Success
3 postingsHow does your stack fit project44?
How is the project44 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 project44 stack?
project44 scores 81 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 project44 stack in its industry?
Share of the 719 companies in the same industries, whose stack Alion knows, that use each technology.
What sets project44 apart
Companies with a stack like project44
Questions about the project44 tech stack
What programming languages does project44 use?
The languages named in project44 job postings are SQL (47%), Java (21%), Python (18%), C++ (9%), JavaScript (9%), as a share of the 34 postings of the last 12 months.
Does project44 use FastAI?
Yes. FastAI is named in 5 of 34 job postings (15%) and required in 5 of them.
What cloud and platforms does project44 use?
The cloud and platforms named in project44 job postings are Apache Kafka (12), Kubernetes (11), GCP (8) (postings in brackets).
What skills do you need for a Backend job at project44?
Backend postings at project44 most often require Apache Kafka (7), GCP (7), Java (7), PostgreSQL (7), out of 9 postings in the last 12 months.
Is the project44 tech stack changing?
Yes. Tableau, Platform Engineering, Kibana, IAM first appeared in project44 job postings in the last six months.
How modern is the project44 tech stack?
project44 scores 81 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 project44 tech stack?
Alion reads every job posting project44 publishes and tags the technologies each one names. The figures on this page count the 34 postings of the last 12 months and were updated on Sep 27, 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, "project44 tech stack: 69 technologies from 34 job postings", as of Sep 27, 2026. https://alion.io/company/project44/technologies
