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System Architect for Automation & Autonomous Systems (Hybrid/Örebro)

Adavo AB

Örebro län, Örebro

Previous experience is desired

127 days left
to apply for the job

Start Date: ASAP End Date: Extension option Scope: 100% Location: Hybrid / Örebro

Project Description

We are looking for an experienced System Architect with strong technical breadth and an interest in future intelligent and autonomous systems. The role involves driving and further developing system architecture for advanced software solutions within automation and connected environments.

You will analyze and evaluate new technologies, turn ideas into practical solutions, and support development teams with architecture and design questions. The assignment includes working with large codebases and modern development environments, focusing on scalability, quality, and long-term sustainability.

The role involves close collaboration with both technical teams and other stakeholders, where the ability to communicate complex technical solutions in a clear and structured manner is central.

Example Tasks:

  • Define and further develop system architecture for advanced software platforms

  • Evaluate and introduce new technologies within AI, automation, and autonomous systems

  • Provide technical support and guidance to development teams on design and architecture matters

  • Work with CI/CD, container-based environments, and cloud platforms

  • Collaborate cross-functionally on technical decisions and system integration

  • Contribute to technical coaching and knowledge sharing within the organization

Requirements

  • At least 8 years of experience in software development and system architecture

  • Very good experience with C++ and complex software systems

  • Experience with DevOps practices and CI/CD processes

  • Knowledge of container technology and cloud-based solutions

  • Experience with distributed systems and scalable system design

  • Good communication skills and experience collaborating with multiple stakeholders

Preferred Qualifications

  • Experience with AI, Machine Learning, or Computer Vision

  • Knowledge within automation, control engineering, or autonomous systems

  • Experience with navigation, path planning, or intelligent control systems

  • Experience with Azure and Docker-based environments

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