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 headquartered in Silicon Valley and are funded and supported by some of the most preeminent venture capital teams.
We are seeking a Senior Backend Developer 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
Qualifications
Required:
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
Preferred:
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.
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].
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Key team members

Marie Hurabiell

Ash Damle

Ajit Verma

Levi Dixon
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