About the Role:

• We are looking for a forward-thinking Senior Engineer (m/f/d) to build the technological foundation of our AIOT Team.
• You act as the architect behind our systems, ensuring that gigantic amounts of IOT data are processed highly efficient and to employ the most advanced anomaly detection algorithms.
• For you, code is not just a means to an end, but the tool to generate real business value. You love to look beyond the IDE, understand the business model, and pour this knowledge into scalable, clean software architectures. If you live Clean Architecture, confidently scale distributed systems, and enjoy collaborating directly with stakeholders on the best solutions, you are our perfect match!

The impact you will create:

• You design, implement, and operate the data and cloud infrastructure for our central AI Anomaly Detection Engine.
• You build and scale data pipelines optimized for handling high-volume IoT time-series data, specifically focusing on energy metrics, power consumption data and monitoring infrastructure logs.
• You select and deploy the most appropriate, lean, and scalable cloud technologies to ensure smooth system performance.
• You collaborate closely with our Data Scientists, acting as the engineering bridge to put their anomaly detection models successfully into cloud production.
• You actively form, lead, and develop our new Core Engineering Team in Sofia.
• You define a clear technical vision and establish strong local ownership, guiding and mentoring future mid- and junior-level engineers as the team grows.

Experience and skills you will need:

• You bring at least 5 years of relevant professional experience in Data Engineering or CloudOps, with clear architectural responsibility.
• You have extensive, practical experience in object-oriented programming (OOP) with Python to build clean and maintainable backend applications.
• You are highly confident in designing data architectures optimized for processing large-scale time-series data (e.g., smart meter data, power consumption logs).
• You have solid knowledge of cloud services and containerization tools (Docker/Kubernetes) to run lean, stable cloud systems.
• You are motivated to work agilely, possess strong communication skills to interact with stakeholders, and have initial experience or a strong drive to lead and form a local technical team.