About Luminai
Healthcare operations have always depended on people to bridge the gaps that technology couldn't. It relies on complex manual work to carry out critical internal processes, yet most health systems don’t have enough resources to properly automate these tasks, leaving them stuck in outdated, labor-intensive SOPs.
Luminai structures the chaos, automates the manual handoffs, and deploys end-to-end workflows across every system, providing the integrated intelligence layer to improve processes over time. By delegating to autonomous AI systems those mission-critical workflows that previously expended valuable human time, Luminai allows doctors and administrators to do what they do best: Focus on Patients.
We've raised $60M in funding, including our recent Series B led by Peak XV Partners (formerly Sequoia India), with participation from healthcare-focused Define Ventures and continued support from General Catalyst and Y Combinator. We're backed by some of the best investors in Silicon Valley, including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter), and CEOs of companies such as Flexport, Notion, Front, Ramp, and Twitch.
Our team is in-office 4 days a week (Monday - Friday, Wednesday optional WFH) in either San Francisco, California or New York, New York.
About the role
As a Software Engineer working on Platform, you will design, build, and improve the core infrastructure and systems that Luminai runs on, ensuring the platform is reliable, scalable, and ready to support rapid growth.
What You'll Do
Lead platform and backend projects from planning through implementation
Build and maintain shared libraries, services, and internal APIs that product engineers / FDEs rely on
Improve the developer workflow: build times, CI/CD pipelines, test infrastructure, and local development setup
Contribute to core platform direction, using system improvements to support higher scale and reliability
Maintain and extend Luminai infrastructure across compute, data, and deployment systems
Champion good engineering practice through code review, testing, and maintainability
Design and implement robust APIs, authentication, and middleware that hold up under load
Harden production systems with sensible defaults around access control and secrets management
What We're Looking For
Proven track record of shipping high-quality code in challenging projects
Significant experience working with distributed systems, cloud infrastructure, and backend services (Python and/or similar languages)
Working knowledge of security best practices for cloud infrastructure and production systems (access control, secrets management, secure networking)
Exceptional problem-solving skills and an ability to work across the stack