Senior Platform Engineer - ML Ops
Core
Building the software ecosystem and MLOps platform for implantable cardiac devices to enable secure connectivity, real-time data management, and intelligent clinical tools for clinicians and patients.
Role type
Senior Platform Engineer (MLOps)
Builds
Cloud-native distributed systems, reusable platform services, CI/CD pipelines, and MLOps infrastructure for medical device software.
Domain
Healthcare technology / Implantable cardiac devices / Cloud infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Cloud-native system design, Python development, MLOps lifecycle management, Infrastructure as Code, CI/CD pipeline design, Root-cause analysis, Cross-functional collaboration, Technical mentorship
Preferred skills
Kubernetes orchestration, Event-streaming technologies, Cloud platform expertise, Observability tooling
Technologies
Python, Docker, Kubernetes, Helm, AWS, Azure, GCP, Apache Kafka, Dynatrace, ELK Stack, Prometheus, Grafana
Responsibilities
Design and implement shared MLOps capabilities and platform services; Build automation, APIs, and self-service engineering tools; Support end-to-end machine learning lifecycle from training to monitoring; Lead technical investigations and root-cause analysis; Coach and provide technical guidance to other engineers; Partner with ML engineers and data scientists to deliver scalable solutions.
Seniority
Senior, hands-on IC with leadership responsibilities
