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 KONE 24/7 Connected Services, Office Flow and Partnership Ecosystem.

**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**
- 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
- **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).
- At KONE, we are focused on creating an innovative and collaborative working culture where we value the contribution of each individual. 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. We follow ethical business practices and we seek to develop a culture of working together where co-workers trust and respect each other and good performance is recognized. In being a great place to work, we are proud to offer a range of experiences and opportunities that will help you to achieve your career and personal goals and enable you to live a healthy and balanced life. _