О компании
Medtronic is a global healthcare technology company that develops medical technologies to alleviate pain, restore health, and extend life. Its Surgical Operating Unit creates products that bring connectivity, real-time guidance, and decision support to the operating room. The Surgical AI Centre of Excellence uses data science and computer vision to provide a comprehensive view of surgery.
Задачи
•Contribute to the design, development, and maintenance of cloud and on-prem infrastructure used by ML Engineers, Data Scientists, and product development teams
•Support ML engineers by responding to platform service requests, troubleshooting issues, and improving the reliability and usability of the MLOps platform
•Build productive working relationships across engineering teams to align stakeholders and advance shared technical work
•Explain technical ideas, risks, and trade-offs clearly in pull requests, design documents, incident reviews, and meetings
Требования
•Strong practical Kubernetes experience, including diagnosing and operating Pods, ReplicaSets, StatefulSets, DaemonSets, Services, PVs/PVCs, and Helm deployments
•A GitOps-oriented mindset and experience with declarative, version-controlled delivery, PR workflows, peer review, and approval gates
•Cloud infrastructure experience
•Strong understanding of cloud primitives, including IAM, networking, compute, storage, and observability
•Practical Terraform and/or OpenTofu experience, with the ability to build maintainable, reviewable infrastructure changes
•Hands-on Docker experience, including building, debugging, and maintaining secure, efficient images
•Experience operating production systems, including incident diagnosis, safe change management, and preventing recurrence
•Ability to assess complex platform needs, define practical solutions, and deliver with limited supervision
•Proven ability to improve developer experience, reliability, security, delivery speed, or operational efficiency
•Collaborative team player who communicates openly, gives and receives constructive feedback, and supports colleagues as priorities change
•Willingness to commute to London 2 days per week
Будет плюсом
•Exposure to, collaboration with, or direct experience in a Kanban and/or Scrum role
•Experience and/or knowledge of Machine Learning
•AWS experience
Условия
•The position is eligible for the short-term Medtronic Incentive Plan (MIP)
•Flexible benefits package and competitive compensation plans
