• Lead the design of robust, scalable solutions for integrating Cornelis Networks' platform and fabric management software with Kubernetes. • Build and maintain custom Kubernetes Operators and Controllers in Go to manage the lifecycle of our software and hardware components within a cluster. • Develop solutions that allow for the seamless orchestration of our high-performance fabric services and platform management tools alongside other containerized workloads. • Work on extending Kubernetes for managing specialized hardware, scheduling, and networking requirements unique to HPC and AI workloads. • Partner with the core platform, fabric, and hardware teams to ensure a cohesive and performant end-to-end solution. • Engage with the open-source community and contribute to relevant projects within the cloud-native ecosystem. • Author high-quality technical documentation and champion best practices for software development in a cloud-native environment.

• Operate with Extreme Autonomy: You’ll identify high-impact problems and solve them without needing a roadmap handed to you. • You are your own project manager. • You care about clean abstractions, intuitive APIs, and high-quality code. • You understand that how we build is just as important as what we build. • You will design and deploy AI-driven features, whether that’s building autonomous agents to handle complex workflows or crafting sophisticated prompt assistants to enhance our product's intelligence. • You’ll actively work to improve the developer experience, ensuring our tech stack stays modern, efficient, and a joy to work in. • Work across the stack: from database queries to API endpoints to UI/UX. • Write high-quality, type-safe, and maintainable code in Typescript. • Leverage modern React / Next.js patterns for performance and scalability. • Collaborate with product stakeholders and other engineers to shape technical direction. • Mentor teammates and establish engineering best practices. • Contribute to CI/CD, testing, and performance monitoring.

About AIRS Medical AIRS Medical is a fast-growing healthcare technology company founded in 2018 and headquartered in Seoul, South Korea, with rapidly expanding U.S. operations. Built on the belief that technology should help prevent illness, not just treat it, AIRS Medical empowers people to live healthier, longer lives. Our flagship solution, SwiftMR, is an FDA-cleared, cloud-based AI software that accelerates MRI scans by up to 50% without compromising diagnostic quality. Trusted by more than 350 hospitals and imaging centers across the U.S., including Lumexa Imaging, Northwestern Medicine, and MedStar Health / Georgetown University, SwiftMR enhances imaging efficiency, patient comfort, and clinical workflow. AIRS Medical has been recognized with Frost & Sullivan’s Technology Innovation Leadership Awards (2023 and 2024) and as the winner of the Facebook AI Research and NYU Langone Health fastMRI Challenges (2019 and 2020), underscoring our leadership in deep learning and medical imaging AI. As we continue expanding across the U.S. and globally, AIRS Medical remains committed to advancing AI and robotics innovations that enhance patient care, support healthcare professionals, and redefine diagnostic efficiency. Opportunity Summary AIRS Medical is looking for a recent graduate who is driven and willing to learn a broad spectrum of skills. In this role, each day will look slightly different, but you will have the ability to get hands-on experience in various roles, such as sales, operations, marketing, customer success, and business development. This is a great opportunity for an entry point for an individual who wants to learn in a start up environment and gain experience.

• Develop and maintain pipelines for various automation tasks (e.g. security definitions release & testing, suspicious files processing). • Build and deploy services (REST API, Web application, etc) for Acronis cybersecurity lab operations. • Support and optimize of internal sandboxing solution. • Build, maintain and optimise large databases of malware samples, behaviour logs, telemetry etc. • Build data monitoring and visualization systems. • Raise alerts automatically whenever anomaly is detected. • Continuously improve your own and your teammates technical skills via mentoring, PR reviews and feedback.