Operations Specialist, DCCP – T&S

Role Overview

• 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.

Tech Stack

• AWS
• Azure
• Cloud
• Cyber Security
• ITSM

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.