Senior Infrastructure Engineer
Radai
Rad AI is seeking a Senior Infrastructure Engineer focused on DevOps to design and operate scalable systems that enhance healthcare through AI. The company is recognized for its innovative AI-driven solutions in radiology, significantly improving patient care and reducing error rates. The role involves collaborating with various teams to shape platform vision and improve engineering productivity.
Qualification
- Experience with container orchestration, preferably Kubernetes.
- Proficiency in serverless applications, particularly AWS Lambda.
- Familiarity with virtual machines such as EC2, Google Compute Engine, or Microsoft Azure.
- Strong collaboration skills with engineering, machine learning, and product teams.
- Experience in incident response and post-incident reviews.
Responsibility
- Architect and build platform infrastructure using container orchestration (preferably Kubernetes) and serverless applications (e.g., AWS Lambda).
- Utilize virtual machines such as EC2 or equivalents in Google Compute Engine on GCP or Microsoft Azure.
- Collaborate with engineering leadership, machine learning, data science, and product partners to shape platform vision.
- Develop and maintain tooling that improves engineering productivity and developer experience.
- Promote sustainable incident response and lead blameless post-incident reviews.
- Manage network and systems monitoring, design alert strategies, and participate in an equitable on-call rotation.
