OpportunityWe 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 Spring Boot, REST APIs, and SQL databases.
- Architect and build scalable integrations with third-party systems (scheduling software, EMRs, and other healthcare tools) to improve operational efficiency.
- Develop AI-powered tools and AI agents that streamline decision-making, automate administrative tasks, and improve clinical workflows.
- 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.
- Regular travel to our Menlo Park headquarters for planning workshops and team collaboration sessions.
- Other duties as assigned.
Qualifications - Bachelor's degree in Computer Science or a STEM-related field (Master's preferred).
- 5+ years of experience in software engineering.
- 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.
- Excellent communication skills, both verbal and written.
- Experience in healthcare, biosensors, or related fields is a plus but not required.
- Experience in developing AI agents is a plus.
- This remote opportunity based out of the U.S. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Compensation and Benefits The compensation range for this position is
$175,000 - $195,000 annually.
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
- A remote and accomplished global team
- 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
Salary range for US jobs
US Salary Range
$175,000-$195,000 USD
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.
