Senior Backend Engineer
Transform healthcare with us.
At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring-working alongside leading health systems to drive real change.
This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board.
Join us in shaping the future of healthcare.
Job Summary:
We're looking for a skilled Backend Engineer to contribute to the development of our Gen AI for Healthcare SaaS platform. As a key member of our early engineering team, you will play a critical role in building and maintaining the core services of our cutting-edge healthcare AI solution, collaborating closely with the team to ensure the platform's success.
Key Responsibilities:
Develop and maintain core platform services, ensuring seamless integration with the overall architecture
Write clean, efficient, and maintainable code following best practices
Collaborate with the team to create and update technical documentation
Contribute to infrastructure automation, monitoring, and alerting strategies
Assist in managing project timelines, milestones, and deliverables
Participate in code reviews, providing feedback and suggestions for improvements
Support and troubleshoot issues in production environments
Required Qualifications:
Production experience at scale of a generative ai application or platform
Proficiency in Python and familiarity with TypeScript or Java, with some experience in a modern compiled language such as Go or Rust
Solid understanding of microservices architecture and RESTful APIs
Experience with one of the major cloud platforms (AWS, GCP, or Azure) and infrastructure as code (Terraform)
Familiarity with DevOps practices, CI/CD pipelines, and monitoring tools
Understanding of agile development methodologies and project management tools
Experience with containerization and orchestration tools like Docker and Kubernetes
Strong problem-solving and communication skills
Bachelors Degree required, Masters Degree is highly desirable
Able to work on-site in our amazing offices in Palo Alto 3 days per week
Desirable Skills:
6+ years of relevant industry experience
Experience with AI/ML platforms and frameworks (TensorFlow, PyTorch, etc.)
Some experience with all three major cloud providers (GCP, Azure, AWS)
Significant experience with GCP in particular
Familiarity with front-end technologies (React, Angular, Vue.js)
Previous experience in the healthcare industry
Why Join Qualified Health?
This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.
Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.
Our Commitment to Diversity
Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.
Pay & Benefits: The pay range for this role is between $160,000 and $240,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.
Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.