Project Manager (O&M Production Support)

M9 Solutions is seeking a Project Manager (O&M Production Support) to work hybrid remote/on-site on a government contract for a client located in Lanham, MD. Candidates must be eligible to obtain a Public Trust level clearance.

Responsibilities

• Perform day-to-day management, possibly involving multiple tasks.
• Provide technical guidance to the project team in performance of the work and review the quality of work products.
• Organize, direct, and coordinate the planning and production of all project support activities.
• Create dashboards for the architectures at all levels utilizing available tools (for example, AppDynamics, Splunk).
• Operate production support between tier-1 (ITOC), 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.
• Develop dashboards for executive, senior manager level, and technical team level.
• Detailed understanding of the 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.
• Manage data calls to include coordination, analysis, tracking, and data gathering.
• Create and update project management plans to include resources, risk management, and other management controls to be employed to meet performance and schedule requirements.
• Establish and track project metrics, including storing all past incidents and performing agile retrospective to identify areas for 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, and work with the appropriate team to ensure prioritization and execution.
• Conduct 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 PI deployment every 9 weeks.
• Provide input and recommendations to the customer to update and maintain the DSRT playbook.
• Work with the 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 on the status of checklist items.
• Provide recommendations to refine and update product readiness assessment activities.
• Gain an understanding of operating model, work with delivery partners, ensure a program view of all the features and how they make up the application.

Required Skills and Qualifications

• Eligibility to obtain a Public Trust level clearance; an active Public Trust level clearance is preferred.
• 5+ years of experience in production monitoring, automation, production support, leading edge management.
• 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).
• Ability to understand and work within n-tier architectures.

Preferred Skills & Qualifications

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