Tata Consultancy Services

Pega Infrastructure Analyst

Tata Consultancy Services$110K — $125K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience with Pega Platform administration and upgrades.
  • Proven expertise in Apache Kafka architecture and disaster recovery.
  • Strong knowledge of Elasticsearch and AWS OpenSearch integration.
  • Experience with Kubernetes and Amazon EKS administration.
  • Familiarity with Helm chart development and CI/CD automation.
  • Proficient in Docker containerization and image management.
  • Solid understanding of Infrastructure-as-Code (IaC) pipelines and AWS networking.

Responsibilities

  • Design and implement Kafka externalization with disaster recovery architecture.
  • Integrate Elasticsearch services with AWS OpenSearch and validate performance.
  • Develop and automate Helm charts for deployment of backing services.
  • Upgrade the Pega platform from Version 23 to Version 26 across environments.
  • Modernize application deployments using containerization with Docker.
  • Administer Kubernetes and AWS EKS for optimal performance and support.
  • Deliver comprehensive technical documentation and support.

Benefits

  • Opportunity to work with cutting-edge technologies in cloud computing and infrastructure management.
  • Engagement in high-impact projects that enhance business continuity and operational efficiency.
  • Professional growth through hands-on experience with modern DevOps practices.
  • Collaboration with a team of skilled professionals in a dynamic environment.
  • Access to ongoing training and resources for skill enhancement.
Full 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

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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

About Tata Consultancy Services

Tata Consultancy Services (TCS) is an Indian multinational information technology (IT) services and consulting company, headquartered in Mumbai, Maharashtra, India. It is a subsidiary of Tata Group and operates in 149 locations across 46 countries. TCS is the largest Indian company by market capitalization and is ranked 11th on the Forbes Global 2000 list of the world's biggest public companies. TCS is also the second-largest IT services company in the world by revenue and the largest employer of women in India. The company provides services in areas including IT, consulting, and business solutions.
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