Sr. Software Engineer
Taipei, Taiwan, Full-Time
About Vysioneer
Vysioneer is an oncology AI company building regulatory-grade software to modernize how cancer drug efficacy is evaluated. Our mission is to apply AI in a practical, real-world way to help bring effective therapies to patients sooner. Our AI platform is used by biopharma partners to support objective, reproducible endpoints and faster decision-making.
We are mission-driven and we look forward to changing the world with like-minded team members.
LinkedIn: https://www.linkedin.com/company/vysioneer
About the Role
We are seeking a Software Engineer to own the lifecycle of the production-grade software systems that support AI workflows. This role will drive the evolution of our microservices architecture, leveraging containerization and Kubernetes to build stable, scalable distributed systems across our Linux-based environments.
This is a hands-on role for engineers who enjoy working close to production systems and want to grow their expertise in cloud-native and AI-driven platforms.
Key Responsibilities
- Design, build, and maintain standalone, production-grade software systems that serve as the foundation for AI workflows.
- Lead the deployment and management of services using Kubernetes, ensuring high availability and seamless scaling of containerized workloads.
- Own the end-to-end lifecycle of our DevOps infrastructure, automating CI/CD pipelines to ensure repeatable, reliable, and secure system transitions.
- Participate in the monitoring, debugging, and iterative improvement of production systems.
- Partner closely with AI scientists to translate complex model requirements into robust, scalable engineering solutions.
- Author and maintain clear, comprehensive documentation for system architectures, deployment workflows, and operational runbooks to ensure knowledge sharing and system maintainability.
Required Qualifications
- At least 3-5 years of relevant work experience
- Strong software engineering background with a focus on writing clean, maintainable, and well-tested code
- Hands-on experience managing and scaling K8s in production (Pods, Networking, Services) and containerizing applications with Docker
- Experience working with distributed systems or cloud-native architectures
- Experience with cloud platforms (GCP or AWS)
- Proficiency with Linux environments and command-line troubleshooting
- Proficiency in Python for building backend systems and infrastructure tools
Preferred Qualifications
- Experience supporting AI/ML training or inference workflows in production
- Proficiency with CI/CD pipelines and Infrastructure as Code
- Familiarity with monitoring, logging, and alerting systems
- Experience in a startup or fast-growing environment
How to apply?
Apply through submitting your resume/CV to info@vysioneer.com