Ellipsis Health is creating cutting-edge AI/ML products that solve healthcare staffing challenges and administrative burdens using conversational AI and our patented voice biomarker technology - helping deliver better healthcare for everyone.
We are seeking a Senior Backend Engineer to help design, build, and scale the core systems powering our conversational AI platform. In this role, you will work primarily on backend services and APIs, collaborating closely with AI/ML engineers, product managers, and other engineers to deliver secure, reliable, and performant solutions for the healthcare industry.
Ellipsis Health is located in the San Francisco Bay Area, but we are open to remote candidates within the United States.
Responsibilities:
Design, develop, and maintain end-to-end features across TypeScript-based backend services
Architect and implement scalable APIs and microservices using TypeScript/Node to support conversational AI workflows and healthcare integrations
Own services in production end-to-end, including deployment, monitoring, incident response, and continuous improvement of reliability and performance
Lead the design and implementation of database schemas and data pipelines for structured and unstructured healthcare data
Design and maintain secure integrations with healthcare systems, scheduling systems, and external platforms
Implement and manage authentication and authorization across systems
Integrate and manage identity and access management solutions such as Zitadel
Ensure security, privacy, and compliance (HIPAA, FHIR, and related standards) across backend systems
Optimize systems for performance, reliability, and scalability, supporting high-volume, real-time workloads
Build and maintain CI/CD pipelines, infrastructure automation, and observability for production services
Troubleshoot and resolve complex production issues; participate in on-call or production support rotations as needed
Mentor junior engineers and contribute to engineering best practices, code quality, and architectural standards
Stay current with emerging technologies and frameworks, applying them thoughtfully to improve product velocity and quality
Qualifications:
Bachelor's or Master's degree in Computer Science or equivalent practical experience
5+ years of professional experience building backend applications with strong TypeScript/JavaScript expertise
Strong proficiency in TypeScript/JavaScript and Node.js for backend and API development
Expertise in designing and consuming RESTful APIs and/or GraphQL
Solid understanding of microservices architectures, distributed systems, and system design
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes)
Strong database skills with SQL and NoSQL systems (e.g., PostgreSQL, MongoDB, DynamoDB)
Deep understanding of security best practices, authentication/authorization, and secure data handling
Experience building and maintaining CI/CD pipelines and production monitoring/alerting systems
Excellent collaboration and communication skills in cross-functional teams
Nice to Have:
Experience implementing role-based access control (RBAC) and fine-grained permission systems
Familiarity with identity providers and access management platforms such as Zitadel, Auth0, or similar
Familiarity with healthcare data standards such as FHIR and HL7
Experience with conversational AI, voice systems, or real-time systems
Prior experience working in health tech or other regulated industries
Experience building or operating large-scale distributed systems
Exposure to DevOps practices, infrastructure-as-code, or site reliability engineering concepts
Salary and Benefits
We offer competitive salary and benefits, including 401(k) matching, health, vision, and dental insurance, and very flexible paid time off.
The typical salary range for this role is $160,000 to $210,000 USD, depending on skills, qualifications, and relevant experience.
Background Checks
As a health technology company, we reserve the right to run background checks on candidates to whom we extend offers, in compliance with applicable laws. We evaluate candidates holistically and comply with all “ban the box” regulations.
Assistance
If you have a disability or require accommodations during the application or recruitment process, please contact [email protected].
Skills Required
- Bachelor's or Master's degree in Computer Science or equivalent practical experience
- 5+ years of professional experience building backend applications
- Strong TypeScript and JavaScript expertise
- Strong proficiency with Node.js for backend and API development
- Experience designing and consuming RESTful APIs and/or GraphQL
- Understanding of microservices architectures, distributed systems, and system design
- Hands-on experience with AWS, GCP, or Azure
- Experience with Docker and Kubernetes
- Strong database skills with SQL and NoSQL systems
- Understanding of security best practices, authentication, authorization, and secure data handling
- Experience building and maintaining CI/CD pipelines and production monitoring and alerting systems
- Excellent collaboration and communication skills in cross-functional teams
- Experience implementing RBAC and fine-grained permission systems
- Familiarity with identity providers such as Zitadel or Auth0
- Familiarity with FHIR and HL7 healthcare data standards
- Experience with conversational AI, voice systems, or real-time systems
- Prior experience in health tech or regulated industries
- Experience building or operating large-scale distributed systems
- Exposure to DevOps, infrastructure-as-code, or site reliability engineering concepts
What We Do
Ellipsis Health was founded with the belief that a person’s mental health should have the same priority as one’s physical health. The company saw an opportunity to connect the dots between the two - giving voice to a new standard of mental health care. By harnessing the unique power of the human voice as a biomarker for mental wellbeing, along with machine learning and AI, Ellipsis Health has established the first vital sign for mental health. Its technology identifies, measures, and monitors the severity of stress, anxiety, and depression at scale by analyzing a short sample of natural speech to create an objective and scalable clinical decision support tool. Through partnerships with providers, payers, employers and digital health companies, Ellipsis Health is working to positively impact the quality of care, shorten the time to diagnosis, drive workflow efficiencies, reduce costs and improve patient outcomes.
