Senior Software Engineer - Backend

Position Overview:

Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. We are looking for a skilled Software Engineer with a backend focus to join our dynamic team and help build the next generation of EEG web applications that support critical medical use cases. As a Software Engineer at Ceribell, you will be responsible for developing, maintaining, and improving the backend systems of the EEG Portal web application. This application is crucial for healthcare providers, researchers, and clinical teams to access, monitor, and analyze EEG data. You will work closely with fellow Engineers, Product Managers, and Stakeholders to ensure the backend is robust, secure, and able to scale in a medical environment.  

This is a hybrid role based in our Sunnyvale Headquarters.

What you'll do:

Backend Development & Maintenance:

• Design, develop, and maintain backend systems to support the EEG Portal application, ensuring reliable performance and compliance with healthcare standards.
• Implement new features and improvements to support clinical and research requirements, focusing on efficiency and scalability.
• Troubleshoot, debug, and optimize backend systems to ensure the highest level of uptime and reliability for users.

Database Management:

• Write optimized database queries and implement data migration strategies.
• Monitor and tune database performance, including data indexing, replication, and backup processes.

API Development & Integration:

• Develop and maintain RESTful APIs that interact with the frontend and other systems.
• Ensure APIs are secure, documented, and able to handle large amounts of sensitive medical data.
• Integrate third-party services and platforms as necessary to enhance functionality.
• Ensure backend services comply with regulatory standards, including data encryption, authentication, and auditing.

Security & Compliance:

• Implement security best practices for data encryption, access control, and auditing to protect sensitive patient and healthcare data.

Documentation:

• Document backend code and systems thoroughly, including APIs, database schemas, architecture decisions, and troubleshooting guides.
• Create clear, concise technical documentation for internal use to ensure teams can easily understand and maintain backend systems.
• Maintain up-to-date documentation to facilitate smooth onboarding for new team members and knowledge sharing.

Performance & Optimization:

• Continuously monitor system performance and identify areas for improvement in speed, reliability, and resource utilization.

Collaboration & Communication:

• Work closely with product managers, front end engineers, data scientists, and quality assurance teams to define and implement feature specifications.
• Participate in sprint planning, stand-ups, and retrospectives to ensure effective collaboration and progress toward goals.

Testing & Code Quality:

• Write unit tests, integration tests, and perform end-to-end testing to ensure code is reliable and free from bugs.
• Conduct code reviews to ensure high-quality, maintainable, and secure code is written.
• Follow best practices for software development and adopt modern CI/CD tools and practices for continuous delivery.

What We're Looking For: 

Required:

• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• Minimum of 3-5 years of backend development experience.
• Proficient in Javascript and/or Typescript, Node.js, Ruby and SQL for back end development.
• Hands-on experience designing, developing, and deploying RESTful APIs.
• Experience with cloud platforms (e.g., AWS, GCP) and containerization technologies (e.g., Docker). 

• Experience working with ML/AI teams.
• Familiarity with software engineering best practices, design patterns, and code versioning tools like Git.
• Strong troubleshooting and problem-solving skills.
• Excellent written and verbal communication skills.

Preferred:

• Experience with microservices architecture.
• Some front end development and user interface implementation experience.
• Experience in the medical device industry or working with sensitive medical data.
• Familiarity with EEG data, its storage, and processing.
• Experience working with Kubernetes.