As a DevOps Engineer, you will be part of a highly skilled tech team building an AI-driven system that operates at the core of clinical workflows. The role involves owning, operating, and evolving cloud infrastructure, building and maintaining Kubernetes platforms, and designing and operating secure, automated CI/CD pipelines. You will work closely with backend, AI, frontend, and product teams to enable fast, safe, and efficient delivery of an AI-powered healthcare platform.
Requirements
- Several years of experience working with DevOps, cloud engineering, or platform engineering in production environments
- Strong experience with cloud infrastructure, ideally Azure
- Hands-on experience with containers and Kubernetes
- Experience designing and maintaining CI/CD pipelines and infrastructure automation
- Solid understanding of security principles across cloud, network, and application layers
- Experience with monitoring, observability, and operating systems in production
- Ability to take ownership, communicate technical decisions, and work closely with development teams
- Comfort using modern AI tools as part of your engineering workflow to improve efficiency and quality
- Experience with GPU workloads and real-time AI inference in production
- Experience with microservices architectures and distributed systems
- Experience working in regulated environments, such as healthcare or financial services
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Tuition Reimbursement
- Relocation Assistance