About the role
Key Responsibilities
- Cloud Infrastructure
- Design, develop, and maintain scalable and secure cloud infrastructure for ATUSA cloud-based web application.on Google Cloud Platform (GCP) with a focus on scalability, security, and observability
- Implement secure, scalable, and reliable APIs and backend services.
- Implement and maintain authentication, authorization, logging, and monitoring systems to ensure secure, compliant, and reliable operation
- Implement infrastructure-as-code and automate deployments using Docker and Kubernetes.
- Ensure compliance with security, privacy, and regulatory standards (HIPAA, GDPR, SOC 2, etc.)
- Web Application Development
- Develop and maintain responsive and performant web applications using modern frameworks and RESTful APIs (Python, JavaScript, Node.js)
- Optimize performance across backend services, data pipelines, and frontend interfaces for storage, retrieval, and visualization of 3D imaging.
- Collaborate with UI/UX designers and frontend engineers to build intuitive and responsive UI and deliver seamless user experiences for clinicians.
- Troubleshoot and optimize performance of cloud infrastructure and web services
- Participate in code reviews, testing, and continuous integration/deployment.
- Data Pipeline & MLOps
- Design and implement robust data pipelines for ingesting, transforming, and storing large datasets.
- Collaborate with Advanced Imaging and AI teams to deploy, monitor, and manage ML models in production.
- Automate model training, evaluation, and deployment processes.
- Cross-functional Collaboration
- Work across disciplines to drive architecture decisions and best practices.
- Mentor junior developers and contribute to a culture of technical excellence, architectural decisions, code reviews, and technical documentation
- Collaborate with Product, Marketing and Clinical teams to define and prioritize customer requirements
- Develop internal web interfaces and admin portals for clinical research, application and marketing teams
Qualifications
Required Skills & Experience
- BS/MS in computer science with 5+ years of experience, with strong exposure to both cloud infrastructure and full-stack development.
- 5+ years of experience in software engineering, with strong exposure to both cloud infrastructure and full-stack development.
- Expertise in Python for data pipeline and backend development.
- Proficient in JavaScript and Node.js for web application development.
- Experience with containerization using Docker and orchestration with Kubernetes.
- Familiarity with database technology such as MySQL, Oracle and MongoDB
- Solid understanding and hands-on experience with Google Cloud Platform (GCP)
- Proven experience building and managing scalable cloud backend and familiarity working with CI/CD pipelines and DevOps best practices.
- Strong problem-solving skills and ability to navigate ambiguity in a fast-paced setting.
- Excellent communication and collaboration abilities.
Preferred Qualifications
- Master’s degree in Computer Science, Engineering, or related field
- Experience in regulated medical device/healthcare industries with compliance-aware development
- Knowledge of MLOps and data versioning tools (MLflow, DVC)
- Experience with data privacy and security best practices (HIPAA, GDPR).
- Experience with software lifecycle in medical device industry
- Familiarity with Cybersecurity requirement for healthcare cloud application
Why Join Us?
- At iSono Health, success isn’t just about the work—it’s about the mindset. We’re a small but mighty team of dedicated individuals driven by a shared mission: revolutionizing women’s health and making a profound impact. With big ambitions and innovative plans, we thrive in a fast-paced, dynamic environment where every team member owns what they build.
- Imagine a world where early detection is effortless. Our compact scanner captures a complete 3D image of the breast in just two minutes without requiring a skilled sonographer. It connects to a laptop, making screenings accessible at doctors' offices, walk-in clinics, and mobile units. The data is securely stored in the cloud, where our innovative machine-learning algorithms analyze it for abnormalities.
- Join us in transforming healthcare and be part of a team where every voice matters, every idea counts, and every action contributes to a greater purpose.