Senior Platform Engineer - ML Ops

Medtronic; Galway; Hybrid; EUR 66,000 - 98,000; Full time

Benefits offered by this job

Short-term incentive plan

Job summary

Medtronic seeks a Senior Platform Engineer - ML/Ops to build and operate the software ecosystem for implantable cardiac devices. You will work across cloud-based, distributed systems and ML workflows, delivering scalable, secure software with cross-functional teams.

The role emphasizes designing platform services, APIs, CI/CD pipelines, and IaC, while supporting the ML lifecycle from development to deployment and monitoring. Hybrid work in Galway Ireland is offered.

Qualifications

• Bachelor's degree in a technical field with 2+ years (or 4+ years if no advanced degree).
• Experience designing, deploying, and operating cloud-native or distributed software systems.
• Experience building platform services, APIs, CI/CD pipelines, IaC, or shared engineering capabilities.
• Strong Python development skills for production environments.
• Experience supporting ML development and deployment workflows.

Responsibilities

• Design and operate shared platform and MLOps capabilities to improve delivery and productivity.
• Design and implement cloud-native software solutions for complex problems.
• Build reusable services, APIs, templates, CI/CD pipelines, and IaC.
• Improve reliability, security, observability, and scalability of platforms.
• Support end-to-end ML lifecycle, including training, deployment, monitoring, and versioning.
• Lead projects and coordinate dependencies across teams.
• Investigate complex technical problems and provide actionable recommendations.
• Contribute to platform roadmaps and technical standards.

Skills

Cloud-native design

Python development

MLOps

Distributed systems

Problem solving

Education

Bachelor's degree (Level 8) in CS/SE/CE/IS

Tools

Docker

Kubernetes

Helm

Kafka

Dynatrace/ELK/Prometheus

Job description

Flexible Work Arrangement
Galway, County Galway, Ireland
Full time
R76077

#LI-hybrid

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.

A Day in the Life

At Medtronic, we value what makes you unique. Be part of a company that thinks differently to solve problems, make progress, and deliver meaningful innovation.

Our Purpose

At Medtronic Patient Care Systems (PCS), we power the digital heartbeat behind life-saving cardiac therapies. We build the connected ecosystem that enables clinicians to monitor, manage, and protect millions of patients living with implantable cardiac devices around the world.

From secure device connectivity and real-time data platforms to intelligent clinical tools and patient-facing experiences, PCS transforms complex cardiac data into clarity - helping physicians make faster decisions, improving outcomes, and giving patients greater confidence in their care.

Our work ensures that life-saving therapies are not only delivered securely, safely and reliably, but continuously improved through innovation, insight, and global scale.

If you want to build technology that truly matters - join us. Together, we are shaping the future of connected cardiac care and changing lives every single day.

Come for a job, stay for a career!

As a Senior Platform Engineer - ML/Ops within PCS organization, you will be involved in developing the software ecosystem supporting Medtronic implantable cardiac devices and will operate in all phases and contribute to all activities of the software development process.

Medtronic PCS teams develop the next generation medical technologies that save lives, improve quality of living for millions of patients across the world. The team works with various software technologies in application software, network software, mobile software, BT/BLE communication software, and interfacing with embedded software for management and control of implantable medical devices.

We are seeking a proactive, self-motivated, and highly skilled software development engineer to lead the charge in building the next generation of CRM solutions. This role demands innovative thinking, a strong background in cloud-based software development, and a passion for creating robust, scalable systems that drive exceptional user experiences.

You will play a pivotal role in shaping the architecture and development of cutting-edge PCS software, collaborating with cross-functional global teams to deliver impactful solutions.

Primary Responsibilities

• Contributes to the design, implementation, and operation of shared platform and Machine Learning Operations (MLOps) capabilities that improve software delivery, developer productivity, and operational efficiency.


• Independently design and implement technical solutions for problems involving cloud, distributed systems, machine learning, data, infrastructure, or software engineering.


• Design, build, and improve reusable services, automation, APIs, templates, CI/CD pipelines, Infrastructure as Code, and self-service capabilities that simplify engineering workflows and promote consistent practices.


• Apply advanced technical knowledge to improve existing platforms, processes, systems, and engineering practices, enhancing reliability, security, observability, performance, scalability, maintainability, and cost effectiveness.


• Support the end-to-end machine learning lifecycle and MLOps practices, including model development, training, validation, deployment, monitoring, versioning, reproducibility, and ongoing operations.


• Own projects, processes, or technical outcomes within the job area and may lead projects that require planning work, coordinating dependencies, delegating activities, and reviewing work products.


• Investigate difficult technical problems that may span multiple systems, job areas, or specialties, perform in-depth analysis and developing recommendations and solutions.


• Lead or contribute to technical investigations and root-cause analysis, implementing improvements that resolve production issues and improve platform effectiveness.


• Partner with software engineers, ML engineers, data scientists, architects, security specialists, data professionals, and infrastructure teams to translate user and engineering needs into scalable and maintainable solutions.


• Contribute to platform roadmaps, project milestones, technical standards, and adoption plans by providing technical expertise and building relationships and consensus across teams.


• Coach, review, and provide technical guidance to other engineers, including design feedback, code reviews, troubleshooting support, training, and knowledge sharing.


• Provide technical guidance through design reviews, code reviews, troubleshooting support, mentoring, and knowledge-sharing activities.

Required Qualifications

• Bachelor's degree (Level 8) in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical discipline and a minimum of 4 years of relevant experience; or an advanced degree and a minimum of 2 years of relevant experience.


• Experience designing, developing, deploying, and operating cloud-native or distributed software systems in a production environment.


• Experience developing platform services, APIs, CI/CD pipelines, automation solutions, Infrastructure as Code (IaC), or shared engineering capabilities.


• Strong hands-on experience developing software solutions in Python, with the ability to write clean, maintainable, and efficient code for production environments.


• Experience supporting machine learning development and deployment workflows, including model training, validation, deployment, monitoring, versioning, and lifecycle management.


• Experience troubleshooting complex technical issues, performing root-cause analysis, and implementing improvements that enhance system reliability and operational effectiveness.

Preferred Qualifications

• Experience running, deploying, and monitoring machine learning models in production environments.


• Experience using containerization and orchestration technologies such as Docker, Kubernetes, and Helm.


• Experience with cloud platforms including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).


• Experience with event-streaming technologies such as Apache Kafka or similar messaging platforms.


• Experience using observability and monitoring tools such as Dynatrace, ELK Stack, Prometheus, Grafana, or comparable technologies.

Benefits & Compensation

Medtronic offer a competitive Salary and flexible Benefits Package

Pay range / Rango salarial / Intervalo salarial /Fascia retributiva/ Tranche de salaire / Gehaltsband / Salaribereik: Ireland: 65,600.00 EUR - 98,400.00 EUR

This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.

Equal Employment Opportunity

It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.

For sales reps and other patient facing field employees, going into a healthcare setting is considered an essential function of the job and we expect our employees to comply with all credentialing requirements at the hospitals or clinics they support.

This employer participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here ( .