Senior Platform Engineer - ML Ops

GAL Medtronic Vascular Galway Unlimited Company; Athenry-Oranmore Municipal District; On-site; EUR 66,000 - 98,000; Full time

Benefits offered by this job

Medtronic Incentive Plan

Flexible Benefits Package

Job summary

Medtronic PCS is seeking a highly capable software engineer to design, build, and operate cloud-native platforms and MLOps capabilities for cardiac technology.

You will collaborate with software engineers, ML engineers, data scientists, and security teams to deliver scalable, reliable systems and support end-to-end ML lifecycle.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or related field with ≥4 years of experience; or advanced degree with ≥2 years.
• Experience designing, developing, deploying, and operating cloud-native or distributed software systems in production.
• Strong hands-on Python development for production environments.
• Experience supporting ML development and deployment workflows (training, validation, deployment, monitoring, versioning).
• Experience troubleshooting complex technical issues and performing root-cause analysis.

Responsibilities

• Contributes to design, implementation, and operation of shared platform and MLOps capabilities to improve delivery productivity and efficiency.
• Independently design and implement solutions for cloud, distributed systems, machine learning, data, or software engineering problems.
• Build and improve reusable services, APIs, templates, CI/CD pipelines, IaC, and self-service capabilities.
• Improve platform reliability, security, observability, performance, and cost-effectiveness.
• Support end-to-end ML lifecycle including training, validation, deployment, monitoring, and versioning.
• Lead or contribute to technical investigations, root-cause analyses, and improvements across teams.

Skills

Python

Cloud-native systems

CI/CD pipelines

IaC

MLOps

Root-cause analysis

Education

Bachelor's degree in CS/SE or related

Advanced degree

Tools

Docker

Kubernetes

Helm

Cloud platforms (AWS/Azure/GCP)

Kafka

Dynatrace

ELK Stack

Prometheus

Grafana

Job description

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!

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 (Level8) in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical discipline and a minimum of 4years of relevant experience; or an advanced degree and a minimum of 2years 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 offers a competitive Salary and flexible Benefits Package

A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.

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).

We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.

Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people. We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves.

We have the talent, diverse perspectives, and guts to engineer the extraordinary.

We change lives.

Our industry leadership comes from the passion and ingenuity of our people. That’s who we are. Working alongside one another, we use science, medicine, and a profound understanding of the human body to build extraordinary technologies that can transform lives. We build extraordinary solutions as one team. With one Medtronic Mindset defining how we work. Speed and decisiveness run through our DNA. Diverse perspectives inspire our bold answers to any challenge that comes our way. And we deliver results the right way, breakthrough after patient breakthrough.

This life‑changing career is yours to engineer. By bringing your ambitious ideas, unique perspective and contributions, you will… Build a better future, amplifying your impact on the causes that matter to you and the world Grow a career reflective of your passion and abilities Connect to a dynamic and inclusive culture that welcomes the challenge of life‑long learning

These commitments set our team apart from the rest: Experiences that put people first. Respect for people is the hallmark of our humanity. It fuels our team to positively impact even a single life. And it means we put our people first at Medtronic as well, creating a culture of belonging and always pushing to get you the career‑building resources you need.

Life‑transforming technologies. No matter your role, you contribute to technologies that transform lives. What we build empowers patients to live life on their terms. Better outcomes for our world.

Here, it’s about more than the bottom line. Our Mission to improve human welfare drives us. We advance healthcare, society, and equity with every design, inside and outside our walls.

Insight‑driven care. Fresh viewpoints. Cutting‑edge AI, data, and automation. You're shaping the future of healthcare technology and defining the next generation of breakthroughs in care.

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.

For sales reps and other patient facing field employees, going into a healthcare settingis 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.