Senior Software Engineer - Eagle Eye

Medtronic plc; Galway; Vor Ort; EUR 66.000 - 98.000; Vollzeit

Benefits dieser Stelle

Medtronic Incentive Plan

Competitive benefits package

Zusammenfassung

Medtronic plc is hiring for a Senior Software Engineer to design and operate Python data-processing services and Elastic Stack deployments that ingest and analyze SmartSync device logs. You will manage data pipelines, dashboards, and monitoring to ensure data health and timely insights for a global healthcare audience.

The role emphasizes collaboration with R&D, quality, and field teams, plus experience with regulated product development and AI-assisted tooling.

Qualifikationen

• Bachelor’s degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or a related technical field.
• Minimum of 4 years of experience in software engineering.
• Significant professional experience designing, developing, debugging, and maintaining software across the development lifecycle, using Python or a comparable language.
• Experience building data pipelines or analytics on large volumes of log or event data.

Aufgaben

• Design data pipelines and tools that scale with growing data volumes while protecting data accuracy, completeness, and timeliness.
• Evolve data schemas, tools, and dashboards while maintaining compatibility for downstream users and reports.
• Diagnose performance, memory, and reliability issues in data processing and drive root cause analysis.
• Apply software architecture and design principles to develop reliable and maintainable data services and tools.
• Leverage AI tools to support code development, data analysis, investigation summaries, and troubleshooting.

Kenntnisse

Python

Data pipelines

Software engineering

Analytical thinking

CI/CD practices

Ausbildung

Bachelor’s degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or a related technical field

Tools

Elastic Stack

Azure Functions

Azure Monitor/Application Insights

Azure DevOps

Terraform

Octopus Deploy

Jobbeschreibung

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 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. Every line of code we write supports someone’s parent, spouse, child, or friend. Our work ensures that life-saving therapies are not only delivered safely and reliably, but continuously improved through innovation, insight, and global scale. If you want to build technology that truly matters — where uptime means peace of mind and innovation means more birthdays — 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!

A Day in The Life Of:

• Design, develop, test, and maintain Python data-processing services (Azure Functions) that ingest, parse and analyze SmartSync device logs at scale.
• Build and maintain Elastic Stack content on Elastic Cloud, including ingest pipelines, Elastic Common Schema (ECS) mappings, data streams, lifecycle policies, and transforms.
• Administer and evolve the Elastic Cloud platform, including version upgrades, capacity and scaling, security roles, and infrastructure as code.
• Create Kibana dashboards, alerting rules, and monitoring that track data health, ingestion delay, and issue trend.
• Investigate field complaints and issues by analyzing SmartSync logs, implant session data, and device information to determine root cause.
• Write clear investigation summaries and reports that support complaint handling, CAPAs, health hazard evaluations, and FDA summary reporting.
• Automate recurring investigations with Python scripts and issue detection rules so issues are found earlier and more consistently.
• Release and deploy the team’s tools through Azure DevOps pipelines and Octopus Deploy, and complete the method validation and documentation required in a regulated environment.
• Partner with R&D, quality, complaint handling, and field teams to turn questions from the field into data, tools, and answers.
• Mentor and coach engineers, fostering a collaborative, learning focused team environment.

Senior-Level Expectations Leadership & Influence

Contribute to technical decisions involving data platform design, data quality, investigation tooling, and engineering practices. Partner with complaint handling, quality, and R&D stakeholders to understand their underlying questions and translate them to practical, maintainable data solutions. Use technical and investigative judgment to separate signal from noise, and communicate findings, and the confidence in them, clearly to technical and non-technical audiences. Provide technical guidance and support to peers, users of the team's dashboards and tools, and project partners. Collaborate with engineering and quality teams and leadership in a matrixed organization.

Technical Depth & Innovation

Design data pipelines and tools that scale with growing data volumes while protecting data accuracy, completeness, and timeliness. Evolve data schemas, tools, and dashboards while maintaining compatibility for downstream users, reports, and integrations, and provide migration paths when changes are needed. Diagnose performance, memory, and reliability issues in data processing, and drive them to root cause with measurable results. Apply software architecture and design principles to develop reliable and maintainable data services and tool. Leverage AI tools and agents to support code development, data analysis, investigation summaries, and troubleshooting, applying strong judgment to validate outputs.

Key Skills & Experience Must Have

Must Have: Minimum Requirements

• Bachelor’s degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or a related technical field.
• Minimum of 4 years of experience in software engineering.
• Significant professional experience designing, developing, debugging, and maintaining software across the development lifecycle, using Python or a comparable language.
• Experience building data pipelines or analytics on large volumes of log or event data.

Preferred Qualifications

• Experience with the Elastic Stack (Elasticsearch, Kibana, ingest pipelines, transforms), ideally on Elastic Cloud.
• Experience with Elasticsearch query and scripting languages: Query DSL, ES|QL, kibana Query Language (KQL), and Painless.
• Experience with Microsoft Azure, including Azure Functions and Azure monitor/Application Insights (Kusto Query Language).
• Experience with CI/CD and release using Azure Pipelines, Octopus Deploy, and SonarQube.
• Experience with infrastructure as code using Terraform.
• Experience investigating software issues found in the field and performing root cause analysis from logs and diagnostic data.
• Familiarity with complaint handling CAPA, and post-market surveillance processes, and with TrackWise.
• Experience validating software tools used in regulated processes.
• Experience applying AI or large language models to data analysis or reporting.
• Familiarity with regulated product development and standards such as ISO 13485, IEC 62304, ISO 14971, and 21 CFR 820.
• Experience with Agile methodologies.
• Experience using Azure DevOps and/or GitHub.
• Strong collaboration, communication, and technical documentation skills.

Benefits & Compensation

• Medtronic offers 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 (The final salary within this range will be determined based on objective, job-related criteria, including relevant experience, skills and qualifications, in accordance with our compensation framework).
• This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).
• 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.
• This employer participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees.

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.