Twin Health
At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health.
We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives.
Working here
Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.
Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace® .
With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world.
Join us as we reinvent the standard of care in metabolic health.Opportunity
We are looking for a Senior Backend Engineer to join our team and play a key role in developing integrations with third-party scheduling systems, and clinical tools to support our clinical operations teams. This is an exciting opportunity to work at the intersection of healthcare, backend engineering, and system integrations, collaborating closely with backend, mobile, and AI engineers, as well as clinical operations teams to streamline workflows and enhance member experience.
Responsibilities
Develop, optimize, and maintain backend services using Java, Spring Boot, REST APIs, and SQL databases.
Design and integrate AI/ML powered features into backend services including working with LLMs.
Architect and build scalable integrations with third-party systems (scheduling software, EMRs, and other healthcare tools) to improve operational efficiency.
Ensure reliability, security, and scalability in integrations, considering compliance requirements such as HIPAA.
Implement event-driven architectures for seamless real-time communication across systems.
Develop and maintain automated unit and integration tests to uphold code quality.
Monitor and optimize system performance to handle rapid growth and high transaction volumes.
Collaborate with cross-functional teams to understand requirements and improve integration performance.
Take on additional responsibilities as needed, including on-call rotations.
Qualifications
Required:
Bachelor's degree in Computer Science or a STEM-related field (Master's preferred).
7+ years of experience in backend software engineering with Java.
Proficiency in Java and experience developing microservices using Spring Boot.
Strong understanding of API design and development, including RESTful services, authentication (OAuth, JWT), and third-party API integrations.
Hands-on experience with SQL databases (PostgreSQL, MySQL) and query optimization.
Experience integrating with third-party systems, particularly healthcare-related tools (EMRs, scheduling platforms, lab systems).
Familiarity with event-driven architectures (Kafka, RabbitMQ, or similar).
Experience with CI/CD pipelines, automated testing, and production monitoring.
Excellent communication skills, both verbal and written.
This remote opportunity is available to US-based persons.
Preferred:
Experience working with AI/ML technologies — including LLMs, AI agents, or integrating AI-powered features into production systems.
Familiarity with AI APIs and frameworks (e.g., OpenAI, LangChain, vector databases).
Experience in healthcare, digital health, biosensors, or related fields.
Understanding of HIPAA compliance and healthcare data security requirements.
Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
Compensation and Benefits
The compensation range for this position is $160,000-$180,000 annually.
In addition, Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin
A competitive compensation package in line with leading technology companies
As a remote friendly company we are committed to providing opportunities for all who join to further build relationships, increase cross-functional collaboration, and celebrate our accomplishments.
Opportunity for equity participation
Unlimited vacation with manager approval
16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents
100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options
401k retirement savings plan
We have been made aware of fraudulent interview requests being sent using the Twin Health's name. All communications will come from official Twin Health channels and a twinhealth.com email address. We will never ask you to complete a text interview or request financial details during the interview process.