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 R&D brings together top talent from different disciplines into an industry-leading product and technology organization. We thrive in solving complex customer challenges, connecting legacy with the latest technologies across hardware and software engineering. In fact, roughly half of our R&D roles are in software. Agile ways of working mean that we are better able to meet our customers’ rapidly evolving needs for speed and innovation, in a global environment.

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. Our common goal at KONE is to keep the end users safe and people flow uninterrupted. KONE moves 2 billion people every day and that means our services can really make cities better places to live
 

Position Summary

We are seeking an experienced Technical Lead to drive the technical vision, development, and delivery of the Clinica and Transparency platforms. The role combines hands-on software engineering, solution architecture, technical leadership, people management, and AI-driven innovation.

Key Responsibilities

• Own and drive technical architecture and design decisions.

• Lead development, deployment, and maintenance of enterprise applications.

• Manage and mentor engineering teams and support career development.

• Drive delivery planning, estimation, technical reviews, and quality assurance.

• Collaborate with stakeholders to translate requirements into scalable solutions.

• Lead AI, Machine Learning, and cloud modernization initiatives.

• Support DevOps, CI/CD, monitoring, and operational excellence activities.

Required Qualifications

• Bachelor’s or master’s degrees in computer science, Artificial Intelligence, Machine Learning, or related field.

• 8+ years of software engineering experience.

• Proven experience in technical leadership and people management.

• Strong stakeholder management and communication skills.

• Experience delivering enterprise-scale applications in Agile environments.

Mandatory Technical Skills

• Java

• Python

• Node.js

• AWS Cloud

• Software Architecture & Design

• Technical Leadership

• People Management

• Agile/Scrum Methodologies

• AI driven SDLC

Preferred Skills

• Machine Learning Engineering

• AI Engineering / Generative AI

• Databricks

• Data Engineering

• Data Analytics

• MLOps

• Microservices Architecture

• CI/CD and DevOps Practices

• Event-Driven Architectures