Principal Platform Engineer - ML Ops

Location: Galway, County Galway, Ireland; hybrid work

Salary: €83,520–€125,280 per year, plus eligibility for the hirify.global Incentive Plan.

Company

hirify.global develops healthcare technologies, including connected systems and software supporting implantable cardiac devices and clinical care.

What you will do

• Define the technical direction for shared platform and MLOps capabilities that improve software delivery, developer productivity, operational efficiency, and the machine learning lifecycle.
• Design and evolve reusable platform services, automation, APIs, templates, CI/CD capabilities, and self-service engineering workflows.
• Lead complex technical initiatives by planning work, coordinating dependencies, reviewing deliverables, and driving outcomes across teams.
• Investigate difficult technical problems, perform root-cause analysis, and implement systemic improvements to reliability, security, scalability, maintainability, and performance.
• Provide technical leadership, coaching, architecture feedback, code reviews, troubleshooting support, and knowledge sharing for engineers.
• Collaborate with software engineering, architecture, security, data, infrastructure, customers, partners, and vendors to align technical decisions and roadmaps.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical discipline with 7+ years of relevant experience, or an advanced degree with 5+ years of experience.
• Advanced expertise in MLOps, cloud platform engineering, distributed systems, software engineering, infrastructure, or data engineering.
• Strong knowledge of the machine learning lifecycle, including model development, training, validation, versioning, deployment, monitoring, reproducibility, and lifecycle management.
• Experience with PyTorch, TensorFlow, or equivalent machine learning technologies, plus strong production software development experience in Python.
• Experience designing and operating cloud-native distributed systems and building platform services, automation, CI/CD pipelines, Infrastructure as Code, APIs, and self-service capabilities.
• Experience leading technical projects, solving complex production problems, performing root-cause analysis, and guiding other engineers.

Nice to have

• Experience running and monitoring machine learning models in production.
• Experience with AWS, Microsoft Azure, or GCP.
• Practical experience with Kubernetes, Docker, and Helm.
• Familiarity with Apache Kafka or comparable event-streaming platforms.
• Experience with Dynatrace, ELK, Prometheus, Grafana, or comparable observability tools.

Culture & Benefits

• Work on healthcare technology supporting implantable cardiac devices and millions of patients.
• Collaborate with global, cross-functional engineering teams.
• Flexible benefits package and competitive compensation.
• Eligibility for the hirify.global Incentive Plan short-term incentive.