ARPL - Radiology AI Platform

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 100+ applications from 45+ AI vendors.

Website

https://carpl.ai/

Implementation Engineer

As an Implementation Engineer, you will be a vital member of the implementation and support team,

responsible for designing and implementing robust, scalable, and efficient solutions for the

application. You will play a crucial role in automating deployment processes and ensuring the smooth

integration of operations workflows. Your expertise will be instrumental in optimizing the release

lifecycle, enhancing system reliability, and maximizing the efficiency of cloud-based or on-prem

applications.

Responsibilities:

• Infrastructure Design: Collaborate with cross-functional teams to implement scalable, secure,

and high-availability infrastructure solutions on a cloud platform (AWS).

• Release Automation: Develop and maintain CI/CD pipelines, automating deployment

processes to accelerate application deployment.

• Containerization and Orchestration: Utilize container technologies (e.g., Docker) and

orchestration tools (e.g., Kubernetes) to streamline application deployment and

management.

• Monitoring and Performance Optimization: Implement monitoring tools and strategies to

proactively identify and resolve performance bottlenecks, ensuring optimal system

performance.

• Security Implementation: Integrate security best practices into the DevOps processes,

ensuring the confidentiality and integrity of sensitive data.

Requirement:

• 3+ years of IT infrastructure experience working closely with cloud technologies.

• Have a working knowledge of Docker, Kubernetes, Terraform, or similar technologies.

• Have experience with monitoring, alerting, and logging frameworks such as Prometheus,

Elastic Stack, Grafana

• Continuous integration and deployment (CICD) with tools such as Jenkins. Should be aware of

managing pipeline has to code.

• Good to know one of these languages: - Go, Python, and/or Java

• Have experience with Git, BitBucket, Apache, Nginx

• Excellent teamwork and communication skills

• Strong sense of ownership and showing initiative.