Early Warning Services tech stack

Early Warning Services builds mostly with Python, Java, SQL, JavaScript. Its stack also includes AWS, Kubernetes, Spring Boot, Oracle. AWS is named in 55 of the 86 job postings Early Warning Services published in the last 12 months (64%). Counted by Alion from the job postings of Early Warning Services, updated Sep 29, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 29, 2026
Technologies in use
143
Postings analysed
86
Open now
47
Modernity
70 /100
New in 6 months
8

What programming languages does Early Warning Services use?

Python is named in 38% of job postings at Early Warning Services, followed by Java (38%), SQL (29%), JavaScript (26%).

Python 33 38% required in 64% · 16 open now · since May 2026
Java 33 38% required in 55% · 14 open now · since Apr 2026
SQL 25 29% required in 88% · 11 open now · since May 2026
JavaScript 22 26% required in 50% · 13 open now · since May 2026
C# 15 17% required in 13% · 7 open now · since May 2026
Ruby 11 13% required in 9% · 5 open now · since Jul 2026
PHP 8 9% required in 13% · 4 open now · since Jul 2026
TypeScript 7 8% required in 29% · 5 open now · since Jul 2026
Show all (17)
PowerShell5
Go4
SAS4
Objective-C4
C++3
Scala2
Apex1
Node JS1
Swift1

What frameworks and libraries does Early Warning Services use?

Spring Boot is named in 15% of job postings at Early Warning Services, followed by JQuery (10%), JUnit (7%), Angular (7%).

Spring Boot 13 15% required in 77% · 4 open now · since Jul 2026
JQuery 9 10% required in 67% · 4 open now · since Jul 2026
JUnit 6 7% required in 100% · 2 open now · since Jul 2026
Angular 6 7% required in 67% · 4 open now · since Jul 2026
React.js 6 7% required in 67% · 4 open now · since Jul 2026
Scikit-learn 4 5% optional · since Aug 2026
Next.js 3 3% required in 33% · 2 open now · since Aug 2026
Selenium 3 3% required in 33% · 1 open now · since May 2026
Show all (20)
TensorFlow3
Cucumber2
Hadoop2
PassKit2
ASP.NET Core1
Appium1
Lightning Web Components1
OpenTelemetry1
Rest-Assured1
Visualforce1
LangChain1
LangGraph1

What databases does Early Warning Services use?

Oracle is named in 12% of job postings at Early Warning Services, followed by Aerospike (10%), Redis (7%), HBase (7%).

Oracle 10 12% required in 70% · 3 open now · since May 2026
Aerospike 9 10% optional · 2 open now · since May 2026
Redis 6 7% required in 17% · 2 open now · since May 2026
HBase 6 7% optional · 1 open now · since May 2026
DynamoDB 4 5% required in 100% · 2 open now · since May 2026
ElasticSearch 4 5% required in 75% · 1 open now · since Jul 2026
Snowflake 4 5% required in 25% · 2 open now · since Jul 2026
Amazon Aurora 2 2% required in 50% · 2 open now · since May 2026
Show all (11)
Memcached1
MySQL1
PostgreSQL1

What cloud and platforms does Early Warning Services use?

AWS is named in 64% of job postings at Early Warning Services, followed by Kubernetes (45%), Azure (34%), GCP (31%).

AWS 55 64% required in 80% · 27 open now · since May 2026
Kubernetes 39 45% required in 49% · 15 open now · since Apr 2026
Azure 29 34% required in 69% · 13 open now · since Jun 2026
GCP 27 31% required in 74% · 12 open now · since Jun 2026
Apache Kafka 25 29% required in 92% · 10 open now · since May 2026
Linux 21 24% required in 90% · 10 open now · since May 2026
AppDynamics 17 20% required in 6% · 7 open now · since Jul 2026
RabbitMQ 12 14% required in 92% · 5 open now · since Jul 2026
Show all (41)
Amazon S310
Splunk10
Unix9
Amazon EKS8
AWS Lambda7
Amazon EC27
Spark7
Windows6
Grafana6
GitLab4
VMWare4
Amazon ECS3
Tableau3
Databricks3
Amazon SageMaker3
Active Directory2
DLP2
Microsoft Entra ID2
Okta2
Postman2
Aqua Security2
CyberArk2
Delinea2
Bamboo1
Figma1
Kubeflow1
MLFlow1
Microsoft Defender1
.NET1
BrowserStack1
Fortify1
Veracode1

And 1 more, each named in fewer postings.

What developer tools does Early Warning Services use?

Maven is named in 37% of job postings at Early Warning Services, followed by Harbor (33%), Docker (23%), Terraform (16%).

Maven 32 37% required in 53% · 13 open now · since Apr 2026
Harbor 28 33% required in 11% · 14 open now · since May 2026
Docker 20 23% required in 90% · 9 open now · since May 2026
Terraform 14 16% required in 86% · 6 open now · since Jun 2026
Git 13 15% required in 92% · 5 open now · since Jul 2026
Chef 12 14% required in 100% · 3 open now · since May 2026
CloudFormation 8 9% required in 75% · 4 open now · since Jun 2026
Gradle 7 8% required in 100% · 4 open now · since Jul 2026
Show all (26)
Jenkins7
Ansible6
Apache Tomcat6
pySpark5
Prometheus5
Rest API5
Zabbix5
AWX2
Magento2
Microsoft Excel2
Podman2
Puppet2
Model Context Protocol1
Claude Code1
Informatica1
JFrog Artifactory1
OpenStack1
Talend1

What AI and ML technologies does Early Warning Services use?

LLM is named in 1% of job postings at Early Warning Services.

LLM 1 1% required in 100% · 1 open now · since Jul 2026

Which engineering practices does Early Warning Services ask for?

CI/CD is named in 62% of job postings at Early Warning Services, followed by Platform Engineering (20%), IAM (13%), SOAP (10%).

CI/CD 53 62% required in 98% · 27 open now · since Apr 2026
Platform Engineering 17 20% required in 100% · 12 open now · since Jun 2026
IAM 11 13% required in 100% · 4 open now · since Jul 2026
SOAP 9 10% required in 22% · 3 open now · since May 2026
Incident Management 7 8% required in 14% · 6 open now · since Jun 2026
Machine Learning 5 6% required in 100% · 1 open now · since May 2026
AI Agents 4 5% required in 100% · 4 open now · since Aug 2026
ETL/ELT 4 5% required in 100% · 1 open now · since Aug 2026
Show all (27)
Gitflow4
SLI/SLO/SLA4
Configuration Management4
AIOps3
DNS3
A/B Testing2
Anomaly Detection2
PKI2
Tokenization2
LLM Guardrails1
RAG1
SRE1
TCP/IP1
Tool Use1
Web Components1
Chaos Engineering1
NIST AI RMF1
PPO1
Time Series Forecasting1

What does each Early Warning Services team work with?

The technologies each team's postings require most often, with the number of postings that require them.

Backend

27 postings
AWS19
Apache Kafka18
Azure13
GCP13
Maven12
SQL12

DevOps

18 postings
AWS16
Linux15
Docker9
Kubernetes8
Terraform8
Unix7

Security

6 postings
Python4
Windows4
PowerShell3
Active Directory2
DLP2
Linux2

Data Science

5 postings
Python4
SQL4
AWS3
Apache Kafka3
Azure3
ElasticSearch3

See the open roles

How does your stack fit Early Warning Services?

Sign in to compare your skills with this stack and see which open roles fit you.
Sign In

How much does Early Warning Services pay by technology?

Median stated pay of the postings that name each technology, against the median of all Early Warning Services postings with stated pay: $183k across 84 postings.

TechnologyPostings with payMedianvs company median
AWS54$193k+6%
Kubernetes38$183k0%
Java32$200k+10%
Python32$165k−10%
Azure28$218k+19%
GCP26$220k+21%
SQL25$161k−12%
Apache Kafka24$222k+21%
JavaScript21$215k+18%
Linux20$158k−13%

How is the Early Warning Services 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.

First appeared
TokenizationSep 2026
PassKitSep 2026
A/B TestingAug 2026
AI AgentsAug 2026
AIOpsAug 2026
Next.jsAug 2026
AWXAug 2026
MagentoAug 2026
Rising
Azure10% → 37%
GCP10% → 34%
Apache Kafka10% → 32%
SQL10% → 32%
AppDynamics0% → 22%
Git0% → 17%
Spring Boot0% → 17%
RabbitMQ0% → 16%
Falling
Maven60% → 34%
Java60% → 36%
Linux40% → 22%
JavaScript40% → 24%
PowerShell20% → 4%
Windows20% → 5%
Redis20% → 5%
Platform Engineering30% → 18%

How modern is the Early Warning Services stack?

Modern AI adopter 70/100

Early Warning Services scores 70 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.

How common is the Early Warning Services stack in its industry?

Share of the 496 companies in the same industries, whose stack Alion knows, that use each technology.

AWS58%
Kubernetes50%
Java41%
Python61%
Azure38%
GCP37%
Apache Kafka32%
SQL63%
JavaScript59%
Linux30%

What sets Early Warning Services apart

AppDynamics2%
Aerospike2%
HBase3%
Objective-C4%
SAS3%

Questions about the Early Warning Services tech stack

What programming languages does Early Warning Services use?

The languages named in Early Warning Services job postings are Python (38%), Java (38%), SQL (29%), JavaScript (26%), C# (17%), as a share of the 86 postings of the last 12 months.

Does Early Warning Services use Spring Boot?

Yes. Spring Boot is named in 13 of 86 job postings (15%) and required in 10 of them.

What cloud and platforms does Early Warning Services use?

The cloud and platforms named in Early Warning Services job postings are AWS (55), Kubernetes (39), Azure (29) (postings in brackets).

What skills do you need for a Backend job at Early Warning Services?

Backend postings at Early Warning Services most often require AWS (19), Apache Kafka (18), Azure (13), GCP (13), out of 27 postings in the last 12 months.

Is the Early Warning Services tech stack changing?

Yes. Tokenization, PassKit, A/B Testing, AI Agents first appeared in Early Warning Services job postings in the last six months.

How modern is the Early Warning Services tech stack?

Early Warning Services scores 70 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.

How does Alion know the Early Warning Services tech stack?

Alion reads every job posting Early Warning Services publishes and tags the technologies each one names. The figures on this page count the 86 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, "Early Warning Services tech stack: 143 technologies from 86 job postings", as of Sep 29, 2026. https://alion.io/company/earlywarning/technologies

Licence: CC BY-SA 4.0JSON