Software Architect, Systems Engineer, AI Engineer

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Join Team Viewer, the leader in remote connectivity software. We harness the potential of cutting-edge technologies such as Augmented Reality and Artificial Intelligence to push the boundaries of innovation and shape the future of digitalization.

Our team of more than 1,500 employees spans different continents, cultures and disciplines. With our inclusive values, we celebrate the unique perspectives and talents each individual brings to the table and foster a dynamic work environment where new ideas thrive.

Become part of our winning team and help us create a world that works better.

What is the key Purpose of the Role? As a Software Architect at Team Viewer, you will play a hands-on role in shaping practical, enterprise-grade software solutions that are scalable, secure, maintainable, and cost-effective. You’ll collaborate closely with engineering teams to design and implement modern architectures that support business goals while embracing cloud-native technologies, event-driven systems, and best practices in software development.

This role is ideal for architects who enjoy staying close to code, solving real-world technical challenges, and contributing to the delivery of high-quality, high-performing systems designed for long-term success.

Responsibilities:

• Hands-On Architecture :
  Actively contribute to the design and development of enterprise-grade software solutions that are scalable, secure, cost-effective, and maintainable.
• Implementation Support :
  Work closely with development teams, offering practical, hands-on guidance throughout the full software lifecycle — from concept to deployment.
• Architecture Design :
  Collaborate on system architecture decisions, ensuring technical solutions align with business goals and modern engineering standards.
• Cloud-Native Development :
  Support the adoption and implementation of cloud technologies, especially on Microsoft Azure, including components like AKS and managed data storage technologies.
• Streaming and Scalability :
  Participate in the design of distributed, event-driven systems using technologies like Kafka, ensuring high availability and responsiveness at scale.
• AI Integration Awareness :
  Contribute to solution designs that may involve AI capabilities, understanding where intelligent services or automation can enhance business value.
• Developer Efficiency :
  Promote the use of AI-enhanced developer tools like Git Hub Copilot, Cursor, and similar IDE-integrated assistants to improve productivity, code quality, and consistency across teams.
• Cross-Functional Collaboration :
  Work closely with product, engineering, Dev Ops, and security teams to ensure architectural solutions meet all functional and non-functional requirements.
• Documentation and Standards :
  Contribute to clear architectural documentation and help define development standards and best practices across teams.
• Continuous Learning :
  Stay current on technology trends and emerging tools, especially in cloud computing, AI, Dev Ops, and distributed systems.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• 5–8 years of professional experience in software engineering, including direct involvement in architecture and system design.
• Proven track record of delivering hands-on, real-world solutions — not just designing, but actively contributing to implementation and troubleshooting.
• Strong understanding of designing enterprise-grade systems that are scalable, secure, cost-conscious, and maintainable.
• Practical experience with Azure Cloud services, including compute (Kubernetes on Azure (AKS), storage and networking.
• Exposure to streaming platforms like Kafka, and an understanding of designing for high-throughput, event-driven environments.
• Deep expertise in at least one modern back-end programming language (e.g. C#, Java, C++), with the ability and willingness to learn new technologies as needed.
• Solid experience with data systems, including both SQL and No
  
  SQL databases. Understanding of data modeling, performance tuning, and operational considerations erience with OLTP…