Senior Platform Engineer - ML Ops

Ireland·Galwaysenior

EngineeringDevops Engineer

0 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

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

Requirements Summary

Bachelor's degree (Level 8) in Computer Science, Software Engineering, Computer Engineering, Information Systems,

Technical Tools

EngineeringDevops Engineer

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.

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

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

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.

Responsibilities

~2 min read

→
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.

Requirements

~1 min read

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.

What We Offer

~2 min read

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. 

‌

Recruitment Fraud Alert

We are aware of phishing scams targeting job seekers. Please keep the following in mind:

Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and official @medtronic.com email addresses.

Medtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate.

If you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments.

If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at AskHR@medtronic.com.

‌

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).