Site Reliability Engineer (m/f/d) - Hybrid - Bratislava/Žilina/Košice

Job Requirements

Join us in pioneering breakthroughs in healthcare.

For everyone.

Everywhere.

Sustainably.

Our inspiring and caring environment forms a global community that celebrates diversity and individuality.

We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.

This is a hybrid position with possible locations in Bratislava, Žilina or Košice.

Apply now for the position of Site Reliability Engineer and build and operate the automation and harmonization layer for our connectivity and digital customer services in order to remove manual effort from operational processes that today run across disconnected tools, and to make operational status visible where it is currently invisible.

You design, implement and operate these solutions from end to end.

You are not assigned finished specifications to code against.

You work with process owners and service owners to understand where effort is lost, propose the technically appropriate solution, build it, and stay responsible for it in operation.

The role is deliberately broad, with automation as its core and reliable operations as its outcome.

It spans integration and orchestration between IT service management and engineering tools, event-driven automation and self-healing, telemetry and fleet monitoring for field devices, and the practical application of generative AI and AI agents.

Site Reliability Engineering practices are applied where they improve service availability, observability, resilience, and operational efficiency.

Your role:

Design and engineering


* Analyze operational processes together with service and process owners, identify automation potential, and quantify the expected benefit before building.


* Design automation solutions that fit the target process, selecting deliberately between scripting, workflow orchestration, low-code platforms, and AI-based approaches.


* Build integrations between operational systems, including ITSM, engineering, monitoring, ERP and onboarding platforms, using APIs and event-driven patterns.


* Develop event-driven automation and self-healing routines that act on monitoring signals instead of generating another ticket for a human.


* Implement telemetry collection and fleet monitoring solutions for distributed edge and gateway devices and turn the resulting data into role-relevant operational views.

Artificial intelligence


* Apply generative AI and AI agents where they measurably improve operational outcomes, for example in diagnosis support, knowledge management, and incident classification.


* Build and evaluate AI-supported components, including retrieval over operational knowledge sources, and define the guardrails, human approval points and quality measurements that make them safe to operate.


* Use AI-assisted development tooling critically, validating generated code rather than...