Senior Software Engineer - Cloud.

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.

Salary is market competitive with experience and includes Stock Options, Health Benefits and 401k.

Annual Salary Range is $125,000 to $160,000.