Software Architect at TeamViewer designing scalable and secure software solutions. Collaborating closely with teams to implement cloud-native technologies and driving digital transformation across the organization.
Responsibilities
Actively contribute to the design and development of enterprise-grade software solutions that are scalable, secure, cost-effective, and maintainable.
Work closely with development teams, offering practical, hands-on guidance throughout the full software lifecycle — from concept to deployment.
Collaborate on system architecture decisions, ensuring technical solutions align with business goals and modern engineering standards.
Support the adoption and implementation of cloud technologies, especially on Microsoft Azure, including components like AKS and managed data storage technologies.
Participate in the design of distributed, event-driven systems using technologies like Kafka, ensuring high availability and responsiveness at scale.
Work closely with product, engineering, DevOps, and security teams to ensure architectural solutions meet all functional and non-functional requirements.
Contribute to clear architectural documentation and help define development standards and best practices across teams.
Contribute to solution designs that may involve AI capabilities, understanding where intelligent services or automation can enhance business value.
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.
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.
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