Demo

Project Manager - Production Support

Virpie Inc.
Lanham, MD Full Time
POSTED ON 3/29/2025
AVAILABLE BEFORE 5/29/2025

Job Details

Must have IRS laptop & badge (or) Active IRS MBI clearance.
Role Title: Project Manager - Production Support Location: Lanham, MD (100% Onsite)
Role Description:
12 years experience production monitoring, production support, proactively preparing for Production support following application changes. Performs day-to-day management, possibly involving multiple tasks. Provides technical guidance to the project team in the performance of the work and reviews the quality of work products. Organizes, directs, and coordinates the planning and production of all project support activities.
Required experience:

  • Production monitoring tools (AppDynamics or other)
  • Logging Aggregator and Analyzer tools (Splunk, Elk, or other)
  • Familiarity with Container Environments (Kubernetes, OpenShift, AWS EKS or other) and associated monitoring tools (Kiali, Prometheus, Jaeger, Grafana or other)
  • IRS experience

Preferred experience:

  • OpenShift, AWS EKS, Kubernetes
  • Service Mesh (ISTIO)
  • Monitoring tools for OpenShift, Kubernetes, ISTIO, and RHEL7 Virtual Machines (OpenShiftWeb Console, OpenShift CLI, AppDynamics, Kiali, Prometheus, Jaeger, Grafana)
  • Spring Boot (general knowledge)

Responsible for:

  • Understanding of operating model, work with delivery partners, ensuring a program view of all the features and how they make up the application.
  • Ability to understand and work within n-tier architectures.
  • Create dashboards for the architectures at all levels utilizing available tools (for example, AppDynamics, Splunk)
  • Operate Production support between tier-1, tier-2 (Prod support) and tier-3(development team).
  • Research tools and software solutions to further automate production support, monitoring and system recovery.
  • Identify problems and come up with forward solutions utilizing modern technology standards.
  • Identify manual production support tasks and processes that can be automated.
  • Identify system enhancements to allow for greater automation and self-healing.
  • Development of dashboards for executive, senior manager level, and technical team level.
  • Detailed understanding of the IRS enterprise defect process, including IMR (Incident Management Resolution) and PMR (Program Management Resolution).
  • Identification of auto-ticketing opportunities, including maturing existing auto-ticketing rules and Knowledge articles.
  • Project planning, scheduling, and monitoring
  • Managing data calls to include coordination, analysis, tracking, and data gathering
  • Creating and updating project management plans to include resources, risk management, and other management controls to be employed to meet performance and schedule requirements
  • Establishing and tracking project metrics, including storing all past incidents and performing agile retrospectives to identify areas of improvement.
  • Work with federated delivery teams to develop appropriate stories to ensure features are hardened for production and have appropriate levels of monitoring.
  • Identify all necessary stories to identify root cause of production incidents. Work with the appropriate team to ensure prioritization and execution
  • Conducting project status meetings with project stakeholders
  • Support the Release Manger (RM) in executing and completing the Deployment Site Readiness Test (DSRT) Plan for the Production Environment for the product backlog items in each PIdeployment every 9 weeks
  • Provide input and recommendations to the IRS to update and maintain the DSRT playbook
  • Work with the IRS RM in the Web Apps Delivery organization to update and tailor the Product Launch Go / No-Go Readiness Assessment Checklist for the product backlog items in each PI deployment every 9 weeks
  • Assist the RM with tracking the completion of the checklist items to include coordinating with Web Apps IT and Business stakeholders to gather information of the status of checklist items
  • Provide recommendations to refine and update product readiness assessment activities
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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