SDE2

CARPL - Radiology AI Platform

Website: carpl.ai
Job details:

CARPL.ai is a vendor-neutral Artificial Intelligence (AI) platform that allows radiologists to access, assess, and integrate radiology AI solutions in their clinical practice.

CARPL provides a single user interface, a single data channel, and a single procurement channel for the testing, deployment, and monitoring of AI solutions in clinical radiology workflows.

We are the world’s largest radiology AI marketplace offering 250+ applications from 80+ AI vendors.

We’re looking for a hands-on Software Development Engineer II (SDE II) who loves building scalable backend systems and shipping fast. You’ll work closely with senior engineers and product teams to design, build, and operate cloud-native services that power our platform.

This is a high-ownership role in a fast-moving startup environment—ideal for engineers who want real impact, not ticket-driven work.

What you will do:

• Build and maintain scalable backend services using Python and Java.
• Develop microservices and event-driven systems on AWS and GCP.
• Design and consume RESTful APIs and asynchronous workflows.
• Own features end-to-end—from design to production deployment.
• Improve system performance, reliability, and scalability through debugging and optimization.
• Work closely with product, DevOps, and QA to ship features quickly and safely.
• Participate actively in code reviews, design discussions, and on-call rotations.
• Contribute to clean code, testing, and security best practices.

What we are looking for:

• 3–5 years of hands-on backend development experience.
• Strong proficiency in Python and Java.
• Experience building backend or microservices-based systems.
• Solid experience with AWS and/or GCP (EC2, S3, Lambda, ECS, Cloud Run, Pub/Sub, etc.).
• Good understanding of distributed systems, APIs, and async processing.
• Experience with relational and NoSQL databases (PostgreSQL, MySQL, DynamoDB, MongoDB).
• Working knowledge of Docker; exposure to Kubernetes is a plus.
• Familiarity with CI/CD pipelines and production deployments.
• Strong problem-solving skills and a bias for action.
• Comfortable in a fast-paced, ambiguous startup environment.

Click on Apply to know more.