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 across backend services, APIs, and orchestration layers, collaborating closely with AI/ML engineers, product managers, and other engineers to deliver secure, reliable, and scalable 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.
Key Responsibilities:Architect, develop, and maintain robust, scalable APIs and microservices using TypeScript (Node.js) to support conversational AI workflows
Design, build, and manage orchestration services that coordinate workflows across AI systems, APIs, and external integrations
Optimize back-end systems for high performance, reliability, and scalability
Ensure secure and compliant integration with healthcare systems (e.g., EHRs, scheduling systems) while adhering to standards like HIPAA and FHIR
Collaborate with the AI team to deploy and manage conversational AI and NLP workflows in production environments
Design and implement database schemas and data pipelines for structured and unstructured healthcare data
Build and maintain CI/CD pipelines to streamline deployments and ensure high availability
Troubleshoot and resolve complex back-end issues with a focus on reliability and uptime
Mentor junior developers and contribute to a high-quality engineering culture
Stay ahead of industry trends and introduce technologies that improve platform performance and scalability
5+ years of experience in back-end development with a proven track record of building secure and scalable systems
Strong proficiency in TypeScript and Node.js for API and service development
Expertise in RESTful API and/or GraphQL development
Experience building orchestration layers / workflow engines for distributed systems
Deep understanding of microservices architecture and distributed systems
Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure) and container orchestration (e.g., Kubernetes)
Strong database design and management experience (SQL and NoSQL), including PostgreSQL, MongoDB, or DynamoDB
Solid understanding of security best practices, including authentication, authorization, encryption, and secure data handling
Experience building and managing CI/CD pipelines
Own services in production end-to-end, including deployment, monitoring, incident response, and continuous improvement of reliability and performance
Experience integrating with Epic EHR, including SMART on FHIR, Epic APIs, or Epic App Orchard.
Familiarity with healthcare data standards such as FHIR and HL7.
Experience with conversational AI, voice systems, or NLP technologies.
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.
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
- 5+ years of experience in back-end development
- Strong proficiency in TypeScript and Node.js
- Expertise in RESTful API and/or GraphQL development
- Experience building orchestration layers or workflow engines for distributed systems
- Deep understanding of microservices architecture and distributed systems
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and container orchestration such as Kubernetes
- Strong database design and management experience (SQL and NoSQL), including PostgreSQL, MongoDB, or DynamoDB
- Solid understanding of security best practices (authentication, authorization, encryption, secure data handling)
- Experience building and managing CI/CD pipelines
- Experience owning services in production end-to-end (deployment, monitoring, incident response, reliability)
- Experience integrating with Epic EHR, including SMART on FHIR, Epic APIs, or Epic App Orchard
- Familiarity with healthcare data standards such as FHIR and HL7
- Experience with conversational AI, voice systems, or NLP technologies
- 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
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.
