Iterable tech stack
Iterable builds mostly with Scala, Java, Python, JavaScript. Its stack also includes Snowflake, Kubernetes, AWS, PostgreSQL. Snowflake is named in 24 of the 26 job postings Iterable published in the last 12 months (92%). Counted by Alion from the job postings of Iterable, updated Sep 29, 2026.
What programming languages does Iterable use?
Scala is named in 38% of job postings at Iterable, followed by Java (27%), Python (23%), JavaScript (15%).
Scala
10 38%
Java
7 27%
Python
6 23%
JavaScript
4 15%
SQL
4 15%
Kotlin
3 12%
Node JS
1 4%
TypeScript
1 4%
What frameworks and libraries does Iterable use?
React.js is named in 8% of job postings at Iterable, followed by Mastra (4%), Ray (4%), React Native (4%).
What databases does Iterable use?
Snowflake is named in 92% of job postings at Iterable, followed by PostgreSQL (23%), ElasticSearch (15%), Redis (15%).
Snowflake
24 92%
PostgreSQL
6 23%
ElasticSearch
4 15%
Redis
4 15%
Amazon Redshift
1 4%
BigQuery
1 4%
Google BigQuery
1 4%
MySQL
1 4%
What cloud and platforms does Iterable use?
Kubernetes is named in 31% of job postings at Iterable, followed by AWS (23%), Databricks (15%), Apache Kafka (15%).
Kubernetes
8 31%
AWS
6 23%
Databricks
4 15%
Apache Kafka
4 15%
GitHub
3 12%
Spark
3 12%
GitHub Actions
2 8%
Show all (18)
What developer tools does Iterable use?
Terraform is named in 19% of job postings at Iterable, followed by Docker (15%), Bazel (12%), Cursor (12%).
Terraform
5 19%
Docker
4 15%
Bazel
3 12%
Cursor
3 12%
ArgoCD
2 8%
Backstage
1 4%
Claude Code
1 4%
CloudFormation
1 4%
Show all (17)
What AI and ML technologies does Iterable use?
LLM is named in 15% of job postings at Iterable, followed by Claude (12%), ChatGPT (4%), Core ML (4%).
Which engineering practices does Iterable ask for?
AI Agents is named in 31% of job postings at Iterable, followed by Machine Learning (15%), Agentic Workflows (12%), LLM Guardrails (12%).
AI Agents
8 31%
CI/CD
2 8%
Platform Engineering
2 8%
Show all (15)
What does each Iterable team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
6 postingsHow does your stack fit Iterable?
How much does Iterable pay by technology?
Median stated pay of the postings that name each technology, against the median of all Iterable postings with stated pay: $112k across 21 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Snowflake | 19 | $112k | 0% |
| Scala | 10 | $90k | −20% |
| Kubernetes | 8 | $90k | −20% |
| Java | 7 | $78k | −30% |
| AWS | 6 | $90k | −20% |
| PostgreSQL | 6 | $78k | −30% |
| Python | 5 | $101k | −10% |
How is the Iterable 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 Iterable stack?
Iterable scores 90 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: 4; legacy ones: 0.
How common is the Iterable stack in its industry?
Share of the 343 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Iterable
Questions about the Iterable tech stack
What programming languages does Iterable use?
The languages named in Iterable job postings are Scala (38%), Java (27%), Python (23%), JavaScript (15%), SQL (15%), as a share of the 26 postings of the last 12 months.
Does Iterable use React.js?
Yes. React.js is named in 2 of 26 job postings (8%) and required in 1 of them.
What cloud and platforms does Iterable use?
The cloud and platforms named in Iterable job postings are Kubernetes (8), AWS (6), Databricks (4) (postings in brackets).
What skills do you need for a Backend job at Iterable?
Backend postings at Iterable most often require Scala (6), Java (5), Snowflake (5), Bazel (3), out of 6 postings in the last 12 months.
Is the Iterable tech stack changing?
Yes. ElasticSearch, Datadog, GitHub, ArgoCD first appeared in Iterable job postings in the last six months.
How modern is the Iterable tech stack?
Iterable scores 90 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: 4; legacy ones: 0.
How does Alion know the Iterable tech stack?
Alion reads every job posting Iterable publishes and tags the technologies each one names. The figures on this page count the 26 postings of the last 12 months and were updated on Sep 29, 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, "Iterable tech stack: 75 technologies from 26 job postings", as of Sep 29, 2026. https://alion.io/company/iterable/technologies