[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Minneapolis, MN # Pega Infrastructure Analyst Minneapolis, MN $110,000-$125,000 IT & Infrastructure Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/jobs/425665J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Pega Infrastructure Analyst ## 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 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. ### 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, 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. ### 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. Salary Range- $110,000-$125,000 a year