Container Service Delivery Co-Ordinator (OpenShift / …, Waterloo

Job Description: Are you a natural coordinator who thrives at the intersection of technology, people, and delivery excellence? We''re looking for a Container Service Delivery Co-Ordinator to lead the end-to-end delivery of enterprise container platform services across our hybrid infrastructurespanning on-premises VMware environments and AWS cloud. What You''ll Do? Service Delivery Coordination Manage end-to-end delivery lifecycle for container platform services Coordinate cluster upgrades, vulnerability cycles, and platform feature enablement Track dependencies, prioritization, and commitments across multiple delivery streams Partner with vendors and internal stakeholders to align delivery with business and roadmap objectives Change Management & Governance Drive change coordination using Service Now with accountability for completeness and approvals Maintain core governance artifacts: risks, issues, dependencies, milestones, decision logs Coordinate change readiness reviews and execution checkpoints Ensure compliance with security, audit, and enterprise standards Incident & Escalation Leadership Facilitate critical incident bridge calls and cross-team coordination Provide structured support during production escalations and high-priority events Participate in on-call support for implementations, escalations, and platform incidents Continuous Improvement & Quality Drive measurable improvements in delivery predictability and change success rates Standardize and enhance runbooks, SOPs, and operational documentation Monitor platform service quality and reduce delivery friction Promote consistent practices across on-premises and AWS delivery models Stakeholder Engagement Facilitate delivery forums including change readiness meetings, status reviews, and health reporting Develop transparent, compelling communications on delivery schedules, risks, and platform enablement Collaborate on demand forecasting, prioritization, and initiative alignment AI-Enabled Service Delivery Use AI tools to generate structured change plans, reports, and stakeholder updates Leverage AI for incident analysis, trend identification, and operational risk assessment Build and refine operational artifacts faster using AI-assisted content creation Drive data-driven decision-making through AI-supported insights Model delivery scenarios and optimize execution approaches What will you need to succeed? 5+ years in IT service delivery, platform operations, or infrastructure coordination with accountability for outcomes and service quality Demonstrated expertise in Change Management, Incident Management, and Service Delivery lifecycle practices Proven ability to coordinate effectively across matrix organizations, influencing without authority Track record of driving continuous improvement in operational processes AI-Enabled Service Delivery Skills Practical hands-on experience applying AI tools to operational challenges: Analyzing operational data (incidents, changes, tickets, logs, metrics) to uncover patterns and risks Creating and refining operational artifacts (runbooks, change plans, reports) with AI assistance Identifying documentation gaps and knowledge coverage using AI-assisted discovery Modeling scenarios and optimizing delivery approaches Comfort validating AI outputs against trusted systems and applying sound operational judgment Technical Foundation Working knowledge of Kubernetes/Open Shift concepts (clusters, namespaces, workloads, networking) Familiarity with hybrid infrastructure: VMware on-premises environments and AWS cloud fundamentals Ability to interpret operational signals (metrics, logs, alerts) and coordinate responses Hands-on experience with Service Now, monitoring tools, and AI-enabled productivity tools Education & Certification Post-secondary education or equivalent professional experience ITIL Foundation or equivalent knowledge (preferred) Nice-to-Have Exposure to Open Shift platform operations, Quay, or Rancher Familiarity with Ansible, Git workflows, or automation practices Experience in regulated enterprise environments Demonstrated track record advancing AI adoption within delivery teams Understanding of AIOps concepts (event correlation, trend analysis, noise reduction) Working Conditions Participation in on-call support for major implementations, platform escalations, and production incidents Occasional after-hours and weekend availability aligned to delivery and operational requirements Apply on Kit Job: kitjob.ca/job/2p0w7a