Pega Infrastructure AnalystJD
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Role details
Tech stack
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Job description
“Scope of Work
- Kafka Externalization and Disaster Recovery Implementation
Design and implement Kafka externalization from the existing environment.
Configure and deploy a Production Disaster Recovery (DR) architecture utilizing Active/Passive failover topology.
Establish replication, monitoring, and failover mechanisms to ensure business continuity and high availability.
Validate DR readiness through testing and documentation of recovery procedures.
- Elasticsearch Externalization to AWS OpenSearch
Externalize Elasticsearch services from the Pega deployment architecture.
Integrate the Pega platform with an external search solution hosted on AWS OpenSearch Service.
Configure and connect the SRS (Search and Reporting Service) EKS cluster to AWS OpenSearch.
Validate indexing, search functionality, scalability, and operational performance.
- Helm-Based Deployment of Backing Services
Develop and maintain Helm charts for deployment of supporting and backing services within the Kubernetes environment.
Configure integrations between deployed services and the Pega platform.
Implement environment-specific configurations, parameterization, and deployment automation through Helm.
Ensure deployments follow enterprise standards and operational best practices.
- Platform Upgrade
Perform an upgrade of the existing Pega platform from Version 23 to Version 26.
Conduct compatibility assessments, dependency analysis, and remediation activities as required.
Execute upgrade activities across development, testing, and production environments.
Validate platform functionality, performance, and stability following the upgrade.
- Containerized Application Deployment Modernization
Upgrade application deployment processes to leverage containerized deployments.
Utilize Pega-provided Docker images for application deployment.
Implement and support deployment automation using Helm Charts and AME/Enterprise Infrastructure-as-Code (IaC) pipelines.
Establish deployment standards, rollback procedures, and release management practices.
- Kubernetes and AWS EKS Administration & Support
The resource performing this work shall possess practical experience with Amazon EKS and Kubernetes administration, including:
Deploying and managing Kubernetes pods and workloads.
Configuring and managing Kubernetes Ingress resources.
Creating and maintaining Service Accounts and role-based access controls (RBAC).
Configuring and managing AWS Application Load Balancers (ALB) for ingress traffic routing.
Troubleshooting Kubernetes deployments, networking, and platform integrations.
Supporting operational activities related to cluster management and application availability.
Deliverables
Kafka externalization and DR architecture implementation.
AWS OpenSearch integration for SRS and search services.
Helm charts for backing services and Pega platform deployments.
Pega platform upgrade from v23 to v26.
Containerized deployment framework using Docker, Helm, and Enterprise IaC pipelines.
Technical documentation, deployment guides, and DR runbooks.
Knowledge transfer and operational support documentation.”
Requirements
” Pega Platform administration and upgrade experience.
Apache Kafka architecture and disaster recovery implementation.
Elasticsearch and AWS OpenSearch service integration.
Kubernetes and Amazon EKS administration.
Helm chart development and deployment automation.
Docker containerization and image management.
Infrastructure-as-Code (IaC) pipeline implementation.
AWS networking and load balancing concepts, including ALB configuration.
Production support, troubleshooting, and performance optimization expertise. “
ESSENTIAL_SKILLS
” Pega Platform administration and upgrade experience.
Apache Kafka architecture and disaster recovery implementation.
Elasticsearch and AWS OpenSearch service integration.
Kubernetes and Amazon EKS administration.
Helm chart development and deployment automation.
Docker containerization and image management.
Infrastructure-as-Code (IaC) pipeline implementation.
AWS networking and load balancing concepts, including ALB configuration.
Production support, troubleshooting, and performance optimization expertise. “
DESIRABLE_SKILLS
” Pega Platform administration and upgrade experience.
Apache Kafka architecture and disaster recovery implementation.
Elasticsearch and AWS OpenSearch service integration.
Kubernetes and Amazon EKS administration.
Helm chart development and deployment automation.
Docker containerization and image management.
Infrastructure-as-Code (IaC) pipeline implementation.
AWS networking and load balancing concepts, including ALB configuration.
Production support, troubleshooting, and performance optimization expertise. “
EXPERIENCE_RANGE_IN_REQUIRED_SKILLS : 5+
| Role Descriptions: Role: Pega Infrastructure AnalystJD:Candidate with 5+ years experience as an Infrastructure Analyst. Knowledge on below topics is a must: Pega Platform administration and upgrade experience. Apache Kafka architecture and disaster recovery implementation. Elasticsearch and AWS OpenSearch service integration. Kubernetes and Amazon EKS administration. Helm chart development and deployment automation. Docker containerization and image management. Infrastructure-as-Code (IaC) pipeline implementation. AWS networking and load balancing concepts | including ALB configuration. Production support | troubleshooting | and performance optimization expertise.Monitoring Apache | Web and DB servers Monitoring application performance Location: Minneapolis |
| Essential Skills: Role: Pega Infrastructure AnalystJD:Candidate with 5+ years experience as an Infrastructure Analyst. Knowledge on below topics is a must: Pega Platform administration and upgrade experience. Apache Kafka architecture and disaster recovery implementation. Elasticsearch and AWS OpenSearch service integration. Kubernetes and Amazon EKS administration. Helm chart development and deployment automation. Docker containerization and image management. Infrastructure-as-Code (IaC) pipeline implementation. AWS networking and load balancing concepts | including ALB configuration. Production support | troubleshooting | and performance optimization expertise.Monitoring Apache | Web and DB servers Monitoring application performance Location: Minneapoli |
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