Principal Platform Engineer - Medtronic Platform & Infrastructure –4d ago
Listed on 2026-10-21
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Software Development
DevOps, Cloud Engineer - Software, Software Engineer, AI Engineer (Applied/Software)
Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.
ADay in the Life
Medtronic Digital Technologies is creating ambitious new products that bring connectivity, real-time guidance, and decision support to the operating room. To support this mission, we are developing compact, high-performance, embedded systems that enable edge computing and connectivity. Working closely with other teams across Medtronic, we are creating a connected ecosystem and leveraging the state of the art in computer vision to provide the most comprehensive view of surgery.
If you’re interested in using cutting-edge technology to improve the standard of care in surgery on a global scale, this could be the place for you.
This role is focused on developing and maintaining critical software engineering tools and architecture to drive engineering efficiency, reliability, and continuous improvement. The responsibilities will be diverse, ranging from maintaining AWS resources through Infrastructure as Code (we use Open Tofu) through to enhancing observability tools (we embrace Open Telemetry) and supporting AI agentic workflows. You will be working with different software engineering groups to understand their problems and coming up with a pragmatic, maintainable solution to solve their problems.
Primary Responsibilities:
- Enhance and maintain our Infrastructure as Code repository to give all our engineers the best cloud resource support.
- Contribute to our CI/CD pipelines to driver further efficiency of our engineers – automate everything where possible.
- Provide observability tools to engineers so they can self-discover issues.
- Find gaps in developer productivity and design, implement solutions to solve them.
- Provide technical mentorship to others, inside and outside of the team.
Required Qualifications:
- Platform engineering, Dev Ops, or site reliability engineering experience, working with infrastructure as code (IaC) tools – we use Open Tofu, EKS and Helm.
- Track record of successfully navigating ambiguity, including making progress with incomplete information, breaking down complex problems, and adapting approach as requirements evolve.
- Experience designing, building, and operating distributed systems in production, with solid understanding of architectural trade-offs involving performance, scalability, and reliability
- Proficiency with cloud platforms (preferably AWS), databases, APIs, and modern Dev Ops practice.
- Must be willing to commute to London 2–3 days per week, with flexibility around the exact arrangement.
Preferred Qualifications:
- Experience with designing golden paths for internal software engineers - internal developer platforms, developer experience products.
- Experience with Python - when we cannot leverage IaC our code is Python based.
- Experience with deploying production Git Ops platforms that manage deployments of multiple applications effectively.
- Familiarity with Governance, Risk , and Compliance (GRC) engineering – platform engineering means we have a duty to address our security and compliance issues through automated means.
- Experience with Agentic AI infrastructure – you have built an AI coding agent that goes beyond markdown files on an IDE.
Physical Job Requirements
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