Security Scorecard tech stack
Security Scorecard builds mostly with Python, TypeScript, SQL, Scala. Its stack also includes AWS, GCP, ClickHouse, PostgreSQL. Python is named in 33 of the 50 job postings Security Scorecard published in the last 12 months (66%). Counted by Alion from the job postings of Security Scorecard, updated Sep 28, 2026.
What programming languages does Security Scorecard use?
Python is named in 66% of job postings at Security Scorecard, followed by TypeScript (26%), SQL (22%), Scala (20%).
Python
33 66%
TypeScript
13 26%
SQL
11 22%
Scala
10 20%
JavaScript
10 20%
Go
8 16%
YARA
8 16%
Apex
5 10%
Show all (11)
What frameworks and libraries does Security Scorecard use?
Flink is named in 14% of job postings at Security Scorecard, followed by OpenTelemetry (10%), React.js (10%), PyTorch (8%).
What databases does Security Scorecard use?
ClickHouse is named in 24% of job postings at Security Scorecard, followed by PostgreSQL (14%), Snowflake (10%), Salesforce Data Cloud (10%).
ClickHouse
12 24%
PostgreSQL
7 14%
Snowflake
5 10%
Redis
3 6%
ScyllaDB
3 6%
BigQuery
2 4%
Google BigQuery
2 4%
What cloud and platforms does Security Scorecard use?
AWS is named in 60% of job postings at Security Scorecard, followed by GCP (24%), Apache Kafka (24%), Splunk (22%).
AWS
30 60%
GCP
12 24%
Apache Kafka
12 24%
Splunk
11 22%
Kubernetes
9 18%
MISP
8 16%
Azure
8 16%
Show all (31)
What developer tools does Security Scorecard use?
Model Context Protocol is named in 24% of job postings at Security Scorecard, followed by Terraform (24%), ArgoCD (18%), Helm (18%).
Model Context Protocol
12 24%
Terraform
12 24%
ArgoCD
9 18%
Helm
9 18%
OpenCTI
8 16%
YARA
8 16%
Rest API
8 16%
Jenkins
8 16%
Show all (17)
What AI and ML technologies does Security Scorecard use?
Claude is named in 20% of job postings at Security Scorecard, followed by LLM (18%), ChatGPT (4%).
Which engineering practices does Security Scorecard ask for?
CI/CD is named in 32% of job postings at Security Scorecard, followed by AI Agents (28%), LLM Evaluation (16%), LLM Guardrails (16%).
CI/CD
16 32%
AI Agents
14 28%
Platform Engineering
8 16%
RAG
7 14%
GitOps
5 10%
Show all (19)
What does each Security Scorecard team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
10 postingsData Science
7 postingsDevOps
5 postingsDesign
5 postingsBackend
5 postingsEnterprise Apps
4 postingsHow does your stack fit Security Scorecard?
How is the Security Scorecard 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 Security Scorecard stack?
Security Scorecard scores 86 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: 3; legacy ones: 0.
How common is the Security Scorecard stack in its industry?
Share of the 299 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Security Scorecard apart
Companies with a stack like Security Scorecard
Questions about the Security Scorecard tech stack
What programming languages does Security Scorecard use?
The languages named in Security Scorecard job postings are Python (66%), TypeScript (26%), SQL (22%), Scala (20%), JavaScript (20%), as a share of the 50 postings of the last 12 months.
Does Security Scorecard use Flink?
Yes. Flink is named in 7 of 50 job postings (14%) and required in 7 of them.
What cloud and platforms does Security Scorecard use?
The cloud and platforms named in Security Scorecard job postings are AWS (30), GCP (12), Apache Kafka (12) (postings in brackets).
What skills do you need for a AI/ML job at Security Scorecard?
AI/ML postings at Security Scorecard most often require AWS (8), Amazon Kinesis (8), Go (8), MISP (8), out of 10 postings in the last 12 months.
Is the Security Scorecard tech stack changing?
Yes. ChatGPT, SLI/SLO/SLA, BigQuery, Google BigQuery first appeared in Security Scorecard job postings in the last six months.
How modern is the Security Scorecard tech stack?
Security Scorecard scores 86 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: 3; legacy ones: 0.
How does Alion know the Security Scorecard tech stack?
Alion reads every job posting Security Scorecard publishes and tags the technologies each one names. The figures on this page count the 50 postings of the last 12 months and were updated on Sep 28, 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, "Security Scorecard tech stack: 95 technologies from 50 job postings", as of Sep 28, 2026. https://alion.io/company/security-scorecard/technologies