Pega Infrastructure Engineer (Kafka & Private Cloud)

We are seeking a Senior Pega Infrastructure Engineer with strong experience in Pega platform deployment and administration on Private Cloud environments. The ideal candidate should have hands-on expertise in externalizing Pega services such as Kafka and Elasticsearch/OpenSearch, containerizing Pega applications, and deploying solutions on AWS-based private cloud infrastructure.

Key Responsibilities

• Design, implement, and support Pega Platform infrastructure in Private Cloud environments.


• Configure and manage Pega externalized services including:
  
  
  
  • Apache Kafka
  
  
  • Elasticsearch/OpenSearch
  
  


• Deploy and administer containerized Pega applications using:
  
  
  
  • Docker
  
  
  • Kubernetes
  
  
  • Amazon EKS
  
  
  • Helm
  
  


• Build and maintain cloud infrastructure on AWS.


• Configure and manage highly available Kafka environments including:
  
  
  
  • Topic management
  
  
  • Partitioning and replication
  
  
  • Security (SSL/TLS, SASL, IAM, ACLs)
  
  
  • Monitoring and troubleshooting
  
  


• Manage OpenSearch/Elasticsearch clusters, indexing, retention, and search optimization.


• Implement infrastructure automation using Terraform, CloudFormation, or similar IaC tools.


• Support production environments, incident management, performance tuning, and disaster recovery activities.


• Collaborate with application, DevOps, security, and architecture teams to deliver scalable enterprise solutions.

Required Qualifications

• 8+ years of overall IT experience.


• 3+ years of hands-on Pega Infrastructure/Cloud experience.


• Strong knowledge of Pega deployment and administration on Private Cloud.


• Experience externalizing Pega services such as Kafka and Elasticsearch/OpenSearch. 


• Hands-on experience with:
  
  
  
  • Apache Kafka / Amazon MSK
  
  
  • Elasticsearch/OpenSearch
  
  
  • AWS Cloud Services
  
  
  • Docker
  
  
  • Kubernetes / Amazon EKS
  
  


• Experience with Linux administration and shell scripting.


• Strong understanding of cloud networking, security, IAM, certificates, and access controls.


• Experience with CI/CD pipelines and Infrastructure as Code.

Preferred Qualifications

• Experience with Pega Containerization.


• Experience deploying Pega on Kubernetes-based platforms.


• AWS certifications.


• Experience with monitoring tools such as CloudWatch, Prometheus, Grafana, Splunk, or ELK/OpenSearch.


• Knowledge of high availability, disaster recovery, and enterprise security practices.

Technical Skills

Pega: Pega Platform, Pega Private Cloud, Pega Containerization

Cloud: AWS, EKS, EC2, IAM, VPC, CloudWatch

Messaging: Kafka, Amazon MSK, Kafka Connect, Schema Registry

Search: Elasticsearch, OpenSearch, Kibana/OpenSearch Dashboards

Containers: Docker, Kubernetes, Helm

Automation: Terraform, CloudFormation, Jenkins, Azure DevOps

Monitoring: Prometheus, Grafana, Splunk, ELK/OpenSearch

This JD aligns closely with the manager's feedback that the primary need is Pega Infrastructure Setup on Private Cloud with Kafka, Search externalization, containerization, and AWS expertise, not a Kafka-only engineer. 

Kafka service