Last Updated on 7th April 2026
Jordan Moore
https://www.linkedin.com/in/jordanmoorerhit/
 
EXPERTISE
CLOUD

S3 • VPC • IAM • CloudWatch
• Route53 • EC2 • EKS •
CodeBuild • ECR • EMR
MICROSERVICES
Docker • Kubernetes • Mesos +
Marathon • Nomad • Consul • Vault
DATABASES
MongoDB • MySQL • PostgreSQL •
ElasticSearch
CI/CD
ArgoCD, Events, & Workows •
GitHub Actions • Ansible • Puppet •
Terraform • Jenkins • Vagrant
SKILLS
ENVIRONMENTS
Backend • APIs • Tool Development
• Data Analysis • Architecture •
Platform Engineering
PROGRAMMING
Java, Scala • Maven, Gradle, SBT •
JAX-RS • Dropwizard • Spring Boot
• Jackson • Lombok
Python • FastAPI • Flask • Requests
• Beautifulsoup • Pydantic
NodeJS • TypeScript • ReactJS •
HTML/CSS • JQuery • Bootstrap •
PHP

Go • Android
EDUCATION
ROSE-HULMAN INSTITUTE
OF TECHNOLOGY
  

Double Major in Software
Engineering and Computer
Science
Minor in Mathematics and
Computational Science
  
EXPERIENCE
ADOBE INC.   
     
• Feature development for Adobe Cloud Services Platform on Kubernetes, overseeing
an ecosystem of hundreds of clusters
• Built and reviewed extensions and software templates for a Backstage-based
Internal Developer Platform (IDP)
• Performed support & on-call services for company-wide Cloud Platform users
• Contributed to golden-template Helm Charts and Argo Workow CI/CD container
actions
> DEVELOPER PLATFORMS    
• Deected 25+% of support tickets with a Python/FastAPI Retrieval Augmented
Generation (RAG) GPT chatbot connected to internal documentation and JIRA
tickets
• Led Golang CLI solution to migrate applications between ArgoCD instances with
zero downtime
• Developed Backstage Templates and Actions to automate zero-to-production
developer onboarding
> MAGENTO    
• Improved Java Spring Boot test-suite runtime for AEM Cloud Manager by 85+%
• Led development of Commerce Cloud Golang HTTP Client and Terraform
Provider
• Developed Commerce Cloud administration plugins within Adobe Experience
Cloud using Node.js REST API with GraphQL
• Enhanced Prometheus metrics and Grafana dashboards for AWS-hosted
Magento PWA Studio & AEM Cloud Manager environments
INSPIRED INTELLECT  
     
• Consulted for Fortune 500 clients on Big Data and Kafka event-driven microservice
architectures
• Architected pre-sales demos using Ansible, Docker, Terraform, and Vagrant
> CLOUD DEVOPS & RELIABILITY ENGINEER    
• Developed a Java REST API with React.js UI to schedule containers across four
different Docker orchestrators
• Documented playbooks, prompts, and patterns in an internal knowledge base —
helping the whole organization move faster
• Integrated CI/CD pipelines with Jenkins and Spinnaker to roll out microservice
releases
> HADOOP & KAFKA ADMINISTRATOR    
• Administered a hybrid-cloud Hadoop-AWS environment with over a hundred
nodes and a global Kafka-connected event system
• Provided on-call support for infrastructure and developer questions, maintenance
notications, and debugging sessions
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Jordan Moore
https://www.linkedin.com/in/jordanmoorerhit/
 
EXPERIENCE (CONT.)
> HADOOP DATA WAREHOUSE OFFLOADER   
• Converted plain-text Oracle database exports into Apache Parquet using Apache Pig
scripts for an international retail client
• Improved runtime of the client’s Oracle Pro*C analytics process by 90% using
Apache Impala and Parquet
> APACHE SPARK STREAMING DEVELOPER   
• Migrated daily batch processing into a real-time Spark Streaming Scala ETL pipeline
for a multi-national payment processing client
• Wrote custom Hadoop InputFormats with RegEx support to parse semi-structured
documents into Spark RDDs for distributed parallel-processing
> GRAPH DATABASE ANALYST   
• Wrote a Java importer to join six disparate, tabular datasets within Neo4j and
OrientDB to yield a 10% improvement in targeted advertising
> APACHE SPARK MLLIB DEVELOPER   
• Rened an iterative Random Forest algorithm using Spark Scala to categorize textual
call-center conversations for a worldwide technology client
• Manually tuned the machine-learning model to yield 80+% related documentation
recommendation accuracy
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