Smarsh tech stack
Smarsh builds mostly with Python, Java, SQL, C#. Its stack also includes AWS, Kubernetes, ElasticSearch, MS SQL. AWS is named in 17 of the 28 job postings Smarsh published in the last 12 months (61%). Counted by Alion from the job postings of Smarsh, updated Sep 27, 2026.
What programming languages does Smarsh use?
Python is named in 36% of job postings at Smarsh, followed by Java (32%), SQL (14%), C# (11%).
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What frameworks and libraries does Smarsh use?
Spring Boot is named in 14% of job postings at Smarsh, followed by LangChain (11%), OpenTelemetry (11%), FastAPI (7%).
Spring Boot
4 14%
LangChain
3 11%
OpenTelemetry
3 11%
FastAPI
2 7%
LangGraph
2 7%
NLTK
1 4%
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What databases does Smarsh use?
ElasticSearch is named in 21% of job postings at Smarsh, followed by MS SQL (14%), DynamoDB (11%), PostgreSQL (11%).
ElasticSearch
6 21%
MS SQL
4 14%
DynamoDB
3 11%
PostgreSQL
3 11%
Milvus
1 4%
Qdrant
1 4%
Redis
1 4%
Vespa
1 4%
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What cloud and platforms does Smarsh use?
AWS is named in 61% of job postings at Smarsh, followed by Kubernetes (54%), Grafana (39%), Datadog (36%).
AWS
17 61%
Kubernetes
15 54%
Grafana
11 39%
Datadog
10 36%
Apache Kafka
10 36%
Amazon EKS
7 25%
GitHub
7 25%
AWS Lambda
5 18%
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And 3 more, each named in fewer postings.
What developer tools does Smarsh use?
Prometheus is named in 39% of job postings at Smarsh, followed by Terraform (36%), Docker (21%), Jenkins (18%).
Prometheus
11 39%
Terraform
10 36%
Docker
6 21%
Jenkins
5 18%
Claude Code
5 18%
Windsurf
5 18%
Copilot
4 14%
Git
3 11%
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What AI and ML technologies does Smarsh use?
Claude is named in 18% of job postings at Smarsh, followed by ChatGPT (14%), LLM (14%), Gemini (4%).
Which engineering practices does Smarsh ask for?
CI/CD is named in 64% of job postings at Smarsh, followed by Platform Engineering (25%), IAM (18%), AI Agents (18%).
CI/CD
18 64%
Platform Engineering
7 25%
AI Agents
5 18%
RAG
4 14%
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What does each Smarsh team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
9 postingsDevOps
7 postingsData Science
3 postingsMarketing
3 postingsHow does your stack fit Smarsh?
How much does Smarsh pay by technology?
Median stated pay of the postings that name each technology, against the median of all Smarsh postings with stated pay: $169k across 16 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| AWS | 6 | $183k | +8% |
| Kubernetes | 5 | $167k | −1% |
| Datadog | 5 | $155k | −8% |
| Claude | 5 | $155k | −8% |
How is the Smarsh 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 Smarsh stack?
Smarsh scores 84 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 Smarsh stack in its industry?
Share of the 301 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Smarsh apart
Companies with a stack like Smarsh
Questions about the Smarsh tech stack
What programming languages does Smarsh use?
The languages named in Smarsh job postings are Python (36%), Java (32%), SQL (14%), C# (11%), Bash (7%), as a share of the 28 postings of the last 12 months.
Does Smarsh use Spring Boot?
Yes. Spring Boot is named in 4 of 28 job postings (14%) and required in 4 of them.
What cloud and platforms does Smarsh use?
The cloud and platforms named in Smarsh job postings are AWS (17), Kubernetes (15), Grafana (11) (postings in brackets).
What skills do you need for a Backend job at Smarsh?
Backend postings at Smarsh most often require AWS (6), Grafana (5), Kubernetes (5), Apache Kafka (4), out of 9 postings in the last 12 months.
Is the Smarsh tech stack changing?
Yes. Anthropic, FastAPI, Human-in-the-Loop, LangGraph first appeared in Smarsh job postings in the last six months.
How modern is the Smarsh tech stack?
Smarsh scores 84 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 Smarsh tech stack?
Alion reads every job posting Smarsh publishes and tags the technologies each one names. The figures on this page count the 28 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, "Smarsh tech stack: 147 technologies from 28 job postings", as of Sep 27, 2026. https://alion.io/company/smarsh/technologies