LiveRamp tech stack
LiveRamp builds mostly with Python, SQL, Java, Go. Its stack also includes GCP, AWS, Google BigQuery, Snowflake. GCP is named in 53 of the 94 job postings LiveRamp published in the last 12 months (56%). Counted by Alion from the job postings of LiveRamp, updated Nov 11, 2026.
What programming languages does LiveRamp use?
Python is named in 48% of job postings at LiveRamp, followed by SQL (33%), Java (28%), Go (15%).
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What frameworks and libraries does LiveRamp use?
Spring Boot is named in 4% of job postings at LiveRamp, followed by Cypress (3%), Hadoop (3%), React.js (3%).
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What databases does LiveRamp use?
Google BigQuery is named in 22% of job postings at LiveRamp, followed by Snowflake (18%), DynamoDB (7%), Cassandra (6%).
Google BigQuery
21 22%
Snowflake
17 18%
DynamoDB
7 7%
Cassandra
6 6%
ScyllaDB
6 6%
Google Bigtable
4 4%
Redis
3 3%
MySQL
2 2%
What cloud and platforms does LiveRamp use?
GCP is named in 56% of job postings at LiveRamp, followed by AWS (46%), Kubernetes (37%), Azure (32%).
GCP
53 56%
AWS
43 46%
Kubernetes
35 37%
Azure
30 32%
Spark
12 13%
Databricks
11 12%
Apache Kafka
10 11%
GitHub Actions
6 6%
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What developer tools does LiveRamp use?
Terraform is named in 20% of job postings at LiveRamp, followed by Jenkins (17%), Rest API (16%), Docker (14%).
Terraform
19 20%
Jenkins
16 17%
Rest API
15 16%
Docker
13 14%
CircleCI
9 10%
Git
6 6%
Claude Code
6 6%
Helm
6 6%
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What AI and ML technologies does LiveRamp use?
LLM is named in 4% of job postings at LiveRamp, followed by Claude (3%).
Which engineering practices does LiveRamp ask for?
CI/CD is named in 34% of job postings at LiveRamp, followed by AI Agents (21%), Incident Management (7%), FinOps (7%).
CI/CD
32 34%
AI Agents
20 21%
Incident Management
7 7%
FinOps
7 7%
Platform Engineering
4 4%
SLI/SLO/SLA
4 4%
Show all (26)
What does each LiveRamp team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
31 postingsDevOps
14 postingsData Science
6 postingsQA
4 postingsHow does your stack fit LiveRamp?
How much does LiveRamp pay by technology?
Median stated pay of the postings that name each technology, against the median of all LiveRamp postings with stated pay: $197k across 62 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| GCP | 35 | $197k | 0% |
| Python | 28 | $195k | −1% |
| AWS | 27 | $197k | 0% |
| SQL | 25 | $197k | 0% |
| Kubernetes | 23 | $197k | 0% |
| Google BigQuery | 16 | $197k | 0% |
| Azure | 15 | $197k | 0% |
| Java | 12 | $197k | 0% |
| Snowflake | 12 | $157k | −20% |
| Go | 10 | $197k | 0% |
How is the LiveRamp 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 LiveRamp stack?
LiveRamp scores 79 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 LiveRamp stack in its industry?
Share of the 77 companies in the same industries, whose stack Alion knows, that use each technology.
What sets LiveRamp apart
Companies with a stack like LiveRamp
Questions about the LiveRamp tech stack
What programming languages does LiveRamp use?
The languages named in LiveRamp job postings are Python (48%), SQL (33%), Java (28%), Go (15%), TypeScript (7%), as a share of the 94 postings of the last 12 months.
Does LiveRamp use Spring Boot?
Yes. Spring Boot is named in 4 of 94 job postings (4%) and required in 4 of them.
What cloud and platforms does LiveRamp use?
The cloud and platforms named in LiveRamp job postings are GCP (53), AWS (43), Kubernetes (35) (postings in brackets).
What skills do you need for a Backend job at LiveRamp?
Backend postings at LiveRamp most often require Java (19), GCP (17), AWS (14), Kubernetes (12), out of 31 postings in the last 12 months.
Is the LiveRamp tech stack changing?
Yes. Human-in-the-Loop, Context Engineering, Lightning Web Components, Copilot first appeared in LiveRamp job postings in the last six months.
How modern is the LiveRamp tech stack?
LiveRamp scores 79 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 LiveRamp tech stack?
Alion reads every job posting LiveRamp publishes and tags the technologies each one names. The figures on this page count the 94 postings of the last 12 months and were updated on Nov 11, 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, "LiveRamp tech stack: 132 technologies from 94 job postings", as of Nov 11, 2026. https://alion.io/company/liveramp/technologies