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Pega Infrastructure Analyst

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Onsite

Pega Infrastructure Analyst

Tata Consultancy Services

Pega Infrastructure Analyst

Skills

DockerKafkaAWSElasticsearchKubernetes

3 months ago

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Important information


Contract type:

Permanent

Location:

Minneapolis, MN, USA

Work mode:

Onsite

Published on:

15 August 2026

What they need


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

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