Software Engineer - IAM, Aura

​ Location: MalmöDepartment: AI Models & Alarm IntelligenceHiring Manager: Christian Falck The roleAs a Data Engineer within our team AI Models & Alarm Intelligence, you will play a key role in building the data infrastructure that powers Verisure’s next-generation of AI-driven products and services. You will join a growing AI team working with Computer Vision, Edge AI, Cloud AI, and connected devices, helping create the data foundations that enable our Machine Learning Engineers to train, deploy, monitor, and continuously improve AI solutions used across multiple countries. The role combines cloud infrastructure, data engineering, system design, and cross-functional collaboration. Success comes from balancing strategic thinking with hands-on implementation, while working closely with both your teammates and stakeholders across the wider organization. You will join a collaborative and highly skilled AI team where knowledge sharing, ownership, and continuous improvement are part of everyday work. What you will be up to Build and maintain data pipelines that support AI model training, evaluation, and deployment Work closely with AI Ops teams, developers, and stakeholders across multiple countries to enable scalable AI infrastructure Develop and improve cloud-based solutions for collecting, processing, and storing data from connected devices Maintain and evolve our data lake, training infrastructure, monitoring capabilities, and feedback loops from products in the field Collaborate with engineers across R&D to reduce complexity, improve reliability, and support future AI initiatives Help shape the long-term data architecture that will support the next generation of AI-powered products Good fit if you haveStrong Python skills and experience building production-grade data pipelines Hands-on experience working with AWS and cloud-native architecture Experience building and maintaining S3-based data platforms and modern data architecture Experience with containerized environments such as Docker Understanding of APIs, cloud services, and distributed systems Experience working closely with software engineers and other technical stakeholders Nice to have / technologies and areas we work with AI, Machine Learning, Computer Vision, or Data Products AWS services such as S3, SageMaker, IAM, and cloud networking Data Lakes and Medallion Architecture (Bronze, Silver, Gold) Snowflake and modern analytics platforms Docker, orchestration, and cloud deployment patterns IoT, Edge AI, and connected devices Should I apply? Strong fit if most of these resonate with you: Building scalable systems and infrastructure is something you genuinely enjoy Solving complex technical problems motivates you You proactively identify opportunities for improvement rather than waiting for instructions Working across teams and dependencies feels energizing rather than frustrating You enjoy balancing hands-on implementation with long-term architectural thinking AI, cloud platforms, and emerging technologies spark your curiosity FAQIs this primarily a Data Engineering role or an AI role?The primary focus is Data Engineering. You will work very closely with AI initiatives and Machine Learning Engineers, but your responsibility is to build and maintain the infrastructure and data foundations that enable AI development at scale. Will I be building new systems or maintaining existing ones?Both. You will help evolve our current infrastructure while also building new capabilities that support future AI products and services. Will I work with stakeholders outside the AI team?Yes. Collaboration is a significant part of the role. You will work with AI Ops, R&D teams, IT teams, and stakeholders across multiple countries and functions. What is the biggest challenge in this role?Balancing hands-on delivery with long-term architecture while navigating dependencies on multiple teams and platforms across the organization. Bottom line If you enjoy building modern cloud-based data platforms, working alongside talented AI engineers, and creating the foundations that enable AI products to scale globally, this is an opportunity to have a significant impact in one of Verisure’s most exciting and rapidly growing technology domains. About VerisureVerisure is the leading provider of professionally monitored security services in Europe and Latin America. As of 31 December 2025, Verisure provides premium monitored alarm services to a portfolio of ~6.2 million families and small businesses across 18 countries, with a team of more than 30,000 colleagues. For the year ended 31 December 2025, Verisure delivered a strong financial performance: Total Revenue of €3,745 million, Adjusted EBITDA of €1,708 million (46% margin) and Adjusted EBIT of €953 million (25% margin). This performance builds on the Company’s track record of resilient, uninterrupted growth over the long term and highlights the strength of its recurring revenue model. Verisure is majority owned by Hellman & Friedman LLC, a leading private equity investment firm. Beginning October 8th, 2025, Verisure is listed in the Nasdaq Stockholm Stock Exchange. With €3.1 billion raised in primary proceeds, this was the largest IPO in Europe since 2022 and the largest in Sweden in over 25 years. My team and I eagerly await your application! Join us on this journey towards a safer, smarter world. Apply today! If you have questions regarding this position, please reach out to our Group Senior TA Specialist, Robert Jonasson, at robert.jonasson@verisure.com Verisure is an equal-opportunity employer and welcomes applicants from diverse backgrounds. We are an international company with offices and colleagues in multiple countries. Verisure - 35 years of delivering peace of mind.

This is a career-changing opportunity to work alongside world-class engineers and scientists on a mission to reimagine what machines can do. You will help us productionize cutting-edge research and integrate it with key partners. Your work will shape how intelligent machines learn, adapt, and act in the physical world. We are looking for the right person with a solid foundation, who finds learning fun and embraces deep, challenging work. Our Strategic Engagements team focuses on transforming research into products. We work in close collaboration with our partners and integrate the Intui model with their systems. This role involves tackling integration hurdles to bring our model to our partners, ensuring it supports both research and pilots effectively. As a Strategic Engagements Software Engineer, you will bridge our core AI research with client systems. You will adapt, productionize, and stabilize advanced algorithms for robust operation on diverse hardware - from embedded systems to complex platforms. This requires: Deep systems expertise to optimize high-performance native code. A hands-on approach to client deployment and resilient interface design. A focus on flexibility, creating configurable systems under strict performance constraints. What You’ll Do Translating research into a successful product hinges on several core attributes: reliability, portability, and flexibility. Additionally, success requires efficiency, developer experience, observability, and configurability. The role requires comprehensive DevOps responsibility across the entire software development lifecycle: Development: Coding, quality assurance, and testing. Infrastructure: Building CI/CD pipelines and release management. Operations: Server maintenance, system monitoring, and site reliability. What you bring Technical Stack: Strong proficiency in C++; comfortable with Python and TypeScript for integration and tooling. Systems Fluency: Expertise in Linux environments with a focus on memory management, concurrency, and performance. Engineering Mindset: You don't just write code; you design for testability and maintainability. Growth Orientation: A strong desire to adapt alongside an evolving tech stack. Bonus Signals Proficient in establishing build infrastructure. Demonstrated experience with Continuous Integration (CI). Familiarity with container technologies. Experience with Rust. Experience with CUDA. Who You Are Systems Thinker: You translate deep technical understanding into effective software solutions. Proactive Owner: You take full accountability for projects from inception to completion. Complexity Arbiter: You have a nuanced understanding of when to embrace or avoid technical complexity. Collaborative Peer: You prioritize sharing insights and ideas over territorial ownership. Builder: Your primary motivation is creating lasting, fundamental capabilities rather than superficial demos. Please note that we are strictly seeking direct individual contributors and do not work with consultants or third-party agencies.