Qualifications and Experience

• BS or MS in Computer Science, or equivalent experience
• 5+ years of working experience shipping scalable, cloud-native distributed systems
• Proficient in at least one of the languages: Java, Python, Terraform
• Solid understanding of user management and runtime security
• You are experienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocols
• Experience in cloud computing (Compute, Networking, Storage, etc)
• Experience in container orchestration like Kubernetes/Docker/Helm Charts
• Ability to work in a collaborative, cross-functional team environment
• Experience with production operations and best practices for putting quality code in production and troubleshooting issues when they arise
• Able to effectively communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams, and presentations)

Preferred Qualifications

• Knowledge of healthcare and experience delivering healthcare applications are significant plus.
  
  
  

Responsibilities

Responsibilities

• Collaborate with product managers and service teams to build secure, scalable infrastructure that can support the growing needs of our AI service offerings.
• Implement robust data pipelines for collecting, processing, and transforming large-scale datasets.
• Stay up-to-date with the latest advancements in machine learning infrastructure, tools, and technologies, and evaluate their potential impact on our systems.
• Deploy and manage machine learning models in production environments, ensuring reliability, scalability, and security.
• Coordinate with multinational teams to drive projects from research POC to production.
• Develop production code and advocate for the best coding and engineering practices.