Night Operations Manager in transportation and warehousing overseeing nighttime operations. Responsible for team coordination, safety compliance, and operational excellence during off - peak hours.
About the role
- Operations Lead managing KONE’s Data Center & Cloud platform services. Ensuring operational excellence, service continuity, and driving AI-driven innovations across environments.
Responsibilities
- Lead day-to-day operations across Data Center, GitHub Enterprise, AWS, and Azure environments, ensuring high performance, availability, and scalability.
- Manage incidents, problems, and changes in alignment with KONE ITSM processes.
- Drive root-cause analysis and implement corrective and preventive actions.
- Monitor and govern platform health, KPIs, resilience, and security posture.
- Forecast capacity needs and plan platform scalability.
- Ensure compliance with cybersecurity, data privacy, and regulatory requirements.
- Work closely with Platform Owners, Engineers, and Architects to improve reliability, operational quality, and automation capabilities.
- Promote modern DevOps practices including IaC, CI/CD, and automated monitoring.
- Maintain accurate documentation, operational procedures, runbooks, and service descriptions.
- Support platform lifecycle management, upgrades, modernization initiatives, and roadmap execution.
- Manage and govern relationships with cloud providers, data center vendors, and managed service partners.
- Drive cloud cost management and optimization.
- Ensure SLA adherence and performance monitoring across all providers.
- Provide transparent communication on operational risks, priorities, and improvements to stakeholders.
- Facilitate sprint ceremonies including stand-ups, planning, retrospectives, and backlog grooming.
- Support Product Owners with backlog structure, prioritization, and cross-team flow alignment.
- Track team KPIs/OKRs and steer continuous improvement efforts.
- Remove impediments and streamline delivery workflow across distributed teams.
- Reinforce Definition of Ready (DoR), Definition of Done (DoD), and quality gates.
- Champion FlowIT methodology within the platform ecosystem.
- Integrate FlowIT principles into incident, change, demand, and operational workflows.
- Utilize FlowIT metrics such as flow efficiency, lead time, WIP, and throughput to identify bottlenecks and drive improvements.
- Embed flow visualization and flow-aligned decision making into team ceremonies.
- Coach teams and stakeholders on FlowIT roles, governance, and optimal flow practices.
- Ensure FlowIT tools, dashboards, and reporting are incorporated into day-to-day operations.
- Lead the adoption of AIOps (Artificial Intelligence for IT Operations) across Data Center & Cloud platforms.
- Introduce AI-driven monitoring, anomaly detection, predictive analytics, and automated remediation capabilities.
- Collaborate with Platform Owners, Architects, and Engineers to integrate AIOps tooling into existing telemetry, logging, and event streams.
- Define use cases for noise reduction, intelligent alerting, automated RCA, and auto-healing to improve operational resilience.
- Ensure AIOps insights feed into FlowIT dashboards, operational KPIs, and backlog priorities.
- Evaluate and adopt new AI/ML-based tools that enhance operational efficiency, reliability, and delivery speed.
- Promote responsible AI governance and alignment with KONE’s technology and security standards.
- Foster a culture of automation-first thinking, operational discipline, and continuous improvement.
- Encourage knowledge sharing, cross-team collaboration, and strong documentation culture.
- Identify opportunities for modernization, cost efficiency, and service quality enhancement.
Requirements
- Strong expertise with AWS, Azure, and on-prem Data Center technologies.
- Knowledge of networking, monitoring, virtualization, storage, and security concepts.
- Experience with CI/CD pipelines, IaC tooling, observability platforms, and automation frameworks.
- Familiarity with GitHub Enterprise administration is an advantage.
- Competency in using AI‑powered tools (e.g., AIOps platforms, AI-assisted runbooks, predictive analytics, AI-enhanced monitoring).
- Understanding of AI/ML principles related to anomaly detection, event correlation, and predictive operations.
- Strong communication skills in a global, multicultural environment.
- Ability to coordinate complex cross-functional work and lead distributed teams.
- Experience in vendor management and enterprise-scale technology governance.
- Strong organizational, prioritization, and stakeholder management capabilities.
- Solid background facilitating Scrum ceremonies and Agile ways of working.
- Practical understanding of FlowIT concepts, metrics, visualization, and governance.
- Ability to coach teams on flow optimization, throughput improvement, and WIP control.
- Experience working with AIOps concepts, frameworks, or platforms.
- Ability to translate operational challenges into AI/automation opportunities.
- Comfortable experimenting with new AI-based tooling and data-driven practices.
- 5+ years in cloud, data center, or platform operations roles.
- Previous experience as an Operations Lead, SRE Lead, or equivalent.
- Experience deploying or operating AIOps tooling or AI-enhanced monitoring systems.
- Experience in global enterprise environments with complex hybrid cloud ecosystems.
Benefits
- Opportunity to drive the operational maturity of KONE’s strategic cloud and data center platforms.
- A role at the intersection of technology leadership, agile ways of working, and AI-driven innovation.
- Collaboration with skilled global teams across Finland and India.
- An influential position shaping platform operations, FlowIT ways of working, and next-generation AIOps capabilities.
- Employee engagement is a key focus area for us and we encourage participation and the sharing of information and ideas.
- Sustainability is an integral part of our culture and the daily practice.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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