- Location
- Bangalore, India
- Workplace
- Onsite
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 4+ years
- Source
- Lever
Description
RapidAI is the trusted leader in deep clinical AI, helping hospitals deliver faster, more informed care through intelligent imaging and integrated workflows. The Rapid Enterprise™ Platform supports disease states across the care spectrum, but it’s our clinical depth that drives the most meaningful impact — improving decision-making, patient outcomes, and health-system performance. Used by more than 2,500 hospitals in over 100 countries and backed by 700+ clinical studies, including research that helped expand national stroke-treatment guidelines, RapidAI is the most clinically validated AI platform in healthcare.
What you will do:
•Be accountable for implementing highly scalable, high throughput systems.
•Apply architecture best practices to help increase feature velocity
•Influence technology selection for the enterprise
•Work closely with various other engineering teams across the organization including clinical
and regulatory teams to effectively design and implement solutions
•Take ownership of solutions end-to-end including design, implementation, testing,
deployment and monitoring
•This position does not have direct report responsibilities.
•Perform any other related activities assigned by reporting manager.
What you bring:
•10+ years’ experience working as a software developer
•4+ years of experience with any cloud infrastructure (AWS/Azure/GCP)
•Must have Cloud application backend programming experience with any of the modern
languages - Golang
•Good understanding of Docker and Kubernetes deployments
•Hands on experience with one or more modern programming languages-
•Golang/Python/Rust
•Good understanding of Linux and associated tools.
•Looking to make a genuine impact in the design and deployment of medical image analysis
based solutions
•Looking to work with a cross-functional team in a product-focused company
Skills
PythonRustAWSAzureGCPDockerKubernetesLinuxGo
