Operations Expert - Agentic Automation

My responsibilities:

Ensuring stable and reliable operations of Agentic Automation solutions by monitoring performance, availability and incident trends across platforms and GenAI components
Operating automation solutions according to ITSM standards and agreed SLAs, including planning and coordination of changes, releases and hotfixed
Performing first- and second-level analysis for incidents, including configuration and workflow-level fixes within defined guardrails, and driving sustainable fixes with development teams where code changes are required
Ensuring agent reliability and quality by maintaining and improving monitoring, logging, alerting, guardrails and runbooks, including mechanisms to detect model drift and undesired outputs
Collaborating closely with developer teams and business functions to plan and execute deployments and optimisations in a controlled and transparent manner as part of change management
Documenting operational controls and maintaining a living knowledge base (runbooks, FAQs, troubleshooting guides), and providing transparency on incidents, problems and related risks and mitigation measures to central business and IT stakeholders

Professional experience in IT operations, application management or platform operations, ideally with a focus on automation, integration or AI-enabled solutions
Solid understanding of ITSM processes (incident, problem, change, request fulfilment) and experience working with common ITSM tools
Experience in operating or supporting automation/orchestration platforms (e.g. n8n, UiPath, SAP Joule or comparable tools) or other business-critical applications
Strong analytical and troubleshooting skills, including the ability to debug complex workflows and data flows, with a structured and reliable way of working
Good communication skills and the ability to work collaboratively with business, development and architecture teams
Fluent and effective communication in English within an international team
Growth-oriented mindset with willingness to learn new platforms and technologies

Desirable extras:
Experience with monitoring and observability for LLM or ML-based applications (dashboards, alerts, log analysis, behaviour metrics)
Basic knowledge of automation development or scripting (e.g. Python, PowerShell) to support diagnostics and minor fixes
Experience in working with external development/service center setups or partner teams
Familiarity with AI governance, compliance or ethical AI guidelines in an enterprise context
You actively use AI tools to improve your productivity and development workflow

Opportunity to work on a large-scale platform used by thousands of users across the organization, leveraging modern technology stack (Azure, Kubernetes, Terraform, etc.)
Participation in building advanced analytics and automation solutions using modern cloud infrastructure and tooling that directly improve business operations
Small, highly technical teams with strong ownership of solutions and architecture
Strong support for professional growth through trainings, conferences and internal knowledge sharing
Open, collaborative working culture with close interaction between engineering and business teams
International collaboration with teams across multiple business domains
Flexible working hours with home office possibility

Please use our online application and attach your English resume.