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Pega Infrastructure Analyst

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
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
Salary/Wage Range or Industry Benchmark: 110000 - 125000 USD Yearly USD 110000.00 125000.00 YEAR
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.
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 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.
Deliverables
  • 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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