Description

About us

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 200+ applications from 85+ AI vendors. 

Key Responsibilities

• Design, develop, and deploy highly scalable, distributed backend systems using Python and Java.
• Drive technical design and architecture discussions for new features and system improvements.
• Implement and optimize microservices and event-driven architectures across AWS and GCP environments.
• Ensure system reliability, scalability, and performance through code optimization, load testing, and monitoring.
• Integrate and manage services using AWS (EC2, S3, Lambda, ECS, RDS, etc.) and GCP (Compute Engine, Cloud Run, BigQuery, Pub/Sub, etc.).
• Mentor junior and mid-level developers through code reviews, design sessions, and pair programming.
• Collaborate with DevOps teams to streamline CI/CD pipelines, automate deployments, and improve observability.
• Champion engineering excellence by enforcing clean code principles, testing best practices, and security standards.

Required Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
• Experience: 7+ years of hands-on software development experience.
• Strong proficiency in Python and Java, with experience building backend or microservices-based applications.
• Expertise in cloud platforms—especially AWS and GCP—and familiarity with cloud-native architectures.
• Deep understanding of data structures, algorithms, and system design principles.
• Experience with RESTful APIs, asynchronous processing, and distributed systems.
• Proficiency with relational and NoSQL databases (PostgreSQL, MySQL, DynamoDB, MongoDB, etc.).
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, CircleCI, or GitLab CI).
• Strong debugging, problem-solving, and performance optimization skills.
• Excellent communication and collaboration abilities.