<p>ARPL - Radiology AI Platform</p> <p>CARPL.ai is a vendor-neutral Artificial Intelligence (AI) platform that allows radiologists to access,</p> <p>assess, and integrate radiology AI solutions in their clinical practice.</p> <p>CARPL provides a single user interface, a single data channel, and a single procurement channel for</p> <p>the testing, deployment, and monitoring of AI solutions in clinical radiology workflows.</p> <p>We are the world&rsquo;s largest radiology AI marketplace offering 100+ applications from 45+ AI vendors.</p> <p>Website</p> <p>https://carpl.ai/</p> <p>Implementation Engineer</p> <p>As an Implementation Engineer, you will be a vital member of the implementation and support team,</p> <p>responsible for designing and implementing robust, scalable, and efficient solutions for the</p> <p>application. You will play a crucial role in automating deployment processes and ensuring the smooth</p> <p>integration of operations workflows. Your expertise will be instrumental in optimizing the release</p> <p>lifecycle, enhancing system reliability, and maximizing the efficiency of cloud-based or on-prem</p> <p>applications.</p> <p>Responsibilities:</p> <p>&bull; Infrastructure Design: Collaborate with cross-functional teams to implement scalable, secure,</p> <p>and high-availability infrastructure solutions on a cloud platform (AWS).</p> <p>&bull; Release Automation: Develop and maintain CI/CD pipelines, automating deployment</p> <p>processes to accelerate application deployment.</p> <p>&bull; Containerization and Orchestration: Utilize container technologies (e.g., Docker) and</p> <p>orchestration tools (e.g., Kubernetes) to streamline application deployment and</p> <p>management.</p> <p>&bull; Monitoring and Performance Optimization: Implement monitoring tools and strategies to</p> <p>proactively identify and resolve performance bottlenecks, ensuring optimal system</p> <p>performance.</p> <p>&bull; Security Implementation: Integrate security best practices into the DevOps processes,</p> <p>ensuring the confidentiality and integrity of sensitive data.</p> <p>Requirement:</p> <p>&bull; 3+ years of IT infrastructure experience working closely with cloud technologies.</p> <p>&bull; Have a working knowledge of Docker, Kubernetes, Terraform, or similar technologies.</p> <p>&bull; Have experience with monitoring, alerting, and logging frameworks such as Prometheus,</p> <p>Elastic Stack, Grafana</p> <p>&bull; Continuous integration and deployment (CICD) with tools such as Jenkins. Should be aware of</p> <p>managing pipeline has to code.</p> <p>&bull; Good to know one of these languages: - Go, Python, and/or Java</p> <p>&bull; Have experience with Git, BitBucket, Apache, Nginx</p> <p>&bull; Excellent teamwork and communication skills</p> <p>&bull; Strong sense of ownership and showing initiative.</p>