RapidAI is the global leader in using AI to combat life-threatening vascular and neurovascular conditions. RapidAI is empowering physicians to make faster decisions for better patient outcomes, leading the next evolution of clinical decision-making and patient workflow. Based on intelligence gained from over 10 million medical imaging scans in more than 2,000 hospitals in over 100 countries, the Rapid® platform transforms care coordination, offering care teams a level of patient visibility never before possible. RapidAI – where AI meets patient care.
At RapidAI, we believe in leveraging cutting-edge technology and research to impact millions of lives. Our software products enhance doctors’ capabilities across hospitals worldwide to respond to and make the best decisions for patients quickly. We are looking for a high-energy employee who is excited to be at the forefront medical device software development. The successful candidate will meet the criteria defined below, and in doing so, will help deliver the best patient care to patients all around the world.
Role And Responsibilities:
Continuous Integration and Delivery (CI/CD): Design, implement, and maintain CI/CD pipelines to automate the build, test, and deployment processes, enabling frequent and reliable releases utilizing the Codefresh CI/CD platform.
Infrastructure as Code (IaC): Utilize tools such as Terraform and Ansible to define and manage infrastructure resources programmatically, ensuring consistency and reproducibility across environments.
Containerization and Orchestration: Implement containerized solutions using AWS EKS and orchestrate containerized applications with Kubernetes and SpectroCloud to achieve scalability, resilience, and portability.
Monitoring and Logging: Set up monitoring and logging solutions (e.g., Prometheus, etc.) to enable tracking system performance, identification of issues, and assist engineering teams proactively troubleshooting potential problems.
Automation and Scripting: Develop scripts and automation workflows using scripting languages like Python & Bash to automate repetitive tasks and improve operational efficiency.
Configuration Management: Manage configuration drift and enforce desired state configurations using tools like Ansible, ensuring consistency and compliance across servers.
Collaboration and Communication: Work closely with development, QA, and operations teams to promote a DevOps culture, facilitate knowledge sharing, and drive collaboration towards common goals.
Security and Compliance: Implement security best practices and compliance standards (e.g., HIPAA, GDPR) throughout the software delivery pipeline, ensuring data protection and regulatory compliance.
Capacity Planning and Optimization: Monitor resource utilization, analyze performance metrics, and conduct capacity planning to optimize infrastructure resources and support business growth within agreed upon financial constraints.
Requirements Gathering: Meet with product engineering teams to document requirements and work requests into Jira stories.
Author technical documentation. Document processes and procedures into Atlassian Confluence.
