Pega Infrastructure Analyst
Job in
Minneapolis, Hennepin County, Minnesota, 55400, USA
Listed on 2026-08-22
Listing for:
Tata Consultancy Services
Full Time
position Listed on 2026-08-22
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Systems Engineer, AWS, SRE/Site Reliability
Job Description & How to Apply Below
Job Description
Pega Infrastructure Analyst
Required Skills And Expertise- Pega Platform administration and upgrade experience.
- Apache Kafka architecture and disaster recovery implementation.
- Elasticsearch and AWS Open Search 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.
- 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 Open Search
- Externalize Elasticsearch services from the Pega deployment architecture.
- Integrate the Pega platform with an external search solution hosted on AWS Open Search Service.
- Configure and connect the SRS (Search and Reporting Service) EKS cluster to AWS Open Search.
- 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, performan ce, 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.
- Kafka externalization and DR architecture implementation.
- AWS Open Search 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.
Salary Range- $110,000-$125,000 a year
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