Senior Software Engineer - Cloud

iSono Health Inc.•Sunnyvale, CA

1d•$125,000 - $160,000

About The Position

We are seeking a Senior Software Engineer - Cloud to join our team. This role involves designing, developing, and maintaining scalable and secure cloud infrastructure for our cloud-based web application on Google Cloud Platform (GCP). You will implement secure, scalable, and reliable APIs and backend services, along with authentication, authorization, logging, and monitoring systems. The position requires infrastructure-as-code automation using Docker and Kubernetes, and ensuring compliance with security, privacy, and regulatory standards (HIPAA, GDPR, SOC 2, etc.). In web application development, you will develop and maintain responsive and performant web applications using modern frameworks and RESTful APIs (Python, JavaScript, Node.js), optimizing performance across backend services, data pipelines, and frontend interfaces for 3D imaging data. Collaboration with UI/UX designers and frontend engineers is key to building intuitive user experiences. You will also troubleshoot and optimize performance of cloud infrastructure and web services, and participate in code reviews, testing, and CI/CD. For data pipelines and MLOps, you will design and implement robust data pipelines for ingesting, transforming, and storing large datasets. You will collaborate with Advanced Imaging and AI teams to deploy, monitor, and manage ML models in production, and automate model training, evaluation, and deployment processes. Cross-functional collaboration is essential, working across disciplines to drive architecture decisions and best practices, mentoring junior developers, and contributing to a culture of technical excellence. You will collaborate with Product, Marketing, and Clinical teams to define and prioritize customer requirements, and develop internal web interfaces and admin portals.

Requirements

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.

Nice To Haves

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

Responsibilities

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.)
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.
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.
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