Cloud Automation Architect

KONE Technology and Innovation Unit (KTI) is where the magic happens at KONE. It's where we combine the physical world – escalators and elevators – with smart and connected digital systems. We are changing and improving the way billions of people move within buildings every day. We are on a mission to expand and develop new digital solutions that are based on emerging technologies. KONE’s vision is to create the Best People Flow® experience by providing ease, effectiveness and experiences to our customers and users. In line with our strategy, Sustainable Success with Customers, we will focus on increasing the value we create for customers with new intelligent solutions and embed sustainability even deeper across all of our operations. By closer collaboration with customers and partners, KONE will increase the speed of bringing new services and solutions to the market. R&D unit in KTI is responsible for developing digital services at KONE. It’s the development engine for our Digital Services such as , and . We are looking for Cloud Automation Architect with strong expertise in Automation on AWS cloud, UI, API, Data and ML Ops . The ideal candidate will bring hands-on technical leadership, architect scalable automation solutions, and drive end-to-end solution design for enterprise-grade use cases. You will collaborate with cross-functional teams including developers, DevOps engineers, product owners, and business stakeholders to deliver automation-first solutions. Role description: Solution Architecture & Design Architect and design automation solutions leveraging Cloud services and data management Define E2E architecture spanning cloud infrastructure, APIs, UI, and visualization layers Translate business needs into scalable, secure, and cost-effective technical solutions. Automation on Cloud Lead automation initiatives across infrastructure, application workflows, and data pipelines Implement operations use cases using Data Visualization and Cloud Automation Optimize automation for cost, performance, and security UI & API Integration Design and oversee development of APIs and microservices to support automation Guide teams on UI frameworks (React/Angular) for building dashboards and portals Ensure seamless integration between APIs, front-end applications, OCR and cloud services Data & ML Ops Define architecture for data ingestion, transformation, and visualization on AWS. Work with tools like Amazon QuickSight, Power BI to enable business insights Establish ML Ops best practices for data-driven decision-making Architect and implement end-to-end MLOps pipelines for training, deployment, and monitoring ML models. Use AWS services like SageMaker, Step Functions, Lambda, Kinesis, Glue, S3, Redshift for ML workflows. Establish best practices for model versioning, reproducibility, CI/CD for ML, and monitoring model drift. Team leading and Collaboration Mentor engineering teams on cloud-native automation practices Collaborate with product owners to prioritize and align technical solutions with business outcomes Drive POCs and innovation initiatives for automation at scale Requirements: 8–10 years of experience in cloud architecture, automation, and solution design Deep expertise in Python for automation Use cases and understanding of ML Ops Experience with data engineering & visualization tools Knowledge of UI frameworks (React, Angular, Vue) for portals and dashboards Expertise in AWS Cloud services for compute, data, and ML workloads Strong understanding of security, IAM, compliance, and networking in AWS Hands-on experience with MLOps pipelines (model training, deployment, monitoring). Read more on