Software Architect - DEX

TeamViewer

Porto, Portugal

Responsibilities

As a Software Architect at TeamViewer, 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.

Your primary responsibilities will include:

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.
Cross-Functional Collaboration: Work closely with product, engineering, DevOps, 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.
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 GitHub Copilot, Cursor, and similar IDE-integrated assistants to improve productivity, code quality, and consistency across teams.
Continuous Learning: Stay current on technology trends and emerging tools, especially in cloud computing, AI, DevOps, and distributed systems.

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
7+ 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 NoSQL databases. Understanding of data modeling, performance tuning, and operational considerations at scale. Experience with OLTP and/or OLAP systems is a plus.
Familiarity with integrating or leveraging AI services or frameworks in software architectures is a plus.
Competent in modern development tools and practices: version control, CI/CD, infrastructure as code, observability, and performance tuning.
Proficiency in using AI-assisted development tools such as GitHub Copilot, Cursor, or similar to accelerate development, enhance code quality, and improve developer workflows.
Strong communication skills with the ability to clearly explain technical decisions to both engineers and stakeholders.
A pragmatic, outcome-focused mindset that balances technical excellence with business needs and delivery timelines.