Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4359079020&f_C=3080478&geoId=92000000&origin=COMPANY_PAGE_JOBS_CLUSTER_EXPANSION&originToLandingJobPostings=4359079020%2C4296748093%2C4296730380%2C4296749089%2C4296729959%2C4311413064%2C4296734356%2C4311408094%2C4296735316&trk=d_flagship3_company Job Description: Senior Full Stack Engineer  San Francisco Bay Area · 56 minutes ago · 64 applicants Promoted by hirer · No response insights available yet $160K/yr - $210K/yr Remote Matches your job preferences, workplace type is Remote. Full-time Matches your job preferences, job type is Full-time. Easy Apply Save Save Senior Full Stack Engineer  at Ellipsis Health Senior Full Stack Engineer Ellipsis Health · San Francisco Bay Area (Remote) Easy Apply Save Save Senior Full Stack Engineer  at Ellipsis Health Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 About the job 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 Full-Stack Engineer to help design, build, and scale the core systems powering our conversational AI platform. In this role, you will work across backend services and frontend applications, collaborating closely with AI/ML engineers, product managers, designers, and other engineers to deliver secure, reliable, and user-friendly 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 backend services and frontend applications. Architect and implement scalable APIs and microservices to support conversational AI workflows and healthcare integrations. Build and evolve frontend user interfaces for internal tools and partner-facing products, focusing on usability, performance, and reliability. Collaborate closely with AI/ML teams to integrate Voice Pipelines, models, inference pipelines, and AI-driven workflows into production systems Lead the design and implementation of database schemas and data pipelines for structured and unstructured healthcare data. Design and maintain secure integrations with EHR systems, including Epic, scheduling systems, and other clinical platforms. Ensure security, privacy, and compliance (HIPAA, FHIR, and related standards) across the full stack. 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, participating 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. Participate in production support and on-call rotations to maintain high availability and reliability of critical healthcare systems Qualifications Bachelor’s or Master’s degree in Computer Science or equivalent practical experience. 5+ years of professional experience building full-stack applications or backend-heavy systems with frontend exposure. Strong proficiency in TypeScript/JavaScript and experience with Python or similar backend languages. Experience building frontend applications using modern frameworks such as React, Vue, or similar. 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 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. Background Checks As a health technology company, we reserve the right to run a background check on any applicant to which we extend an offer and to re-perform any such check at any time during the course of employment. Please know that there is no set policy on rejecting candidates because of certain background check results, and that we look at a candidate as a whole before making any decisions. We comply with all “ban the box” laws in applicable jurisdictions. Annual Base Salary Range: $160,000 - $210,000 Medical/dental Unlimited PTO 4% matching 401k