Platform Reliability Lead – AI-native Operations (w/m/d)

# Platform Reliability Lead – AI-native Operations (f/m/d)full timehybrid work possibleopen ended## Role descriptionThis role is not a CTO position, nor is it intended as a stepping stone to a C-level role.We deliberately operate without a C-level structure and expect leadership to be demonstrated through accountability and collaboration, not through titles.We are looking for someone who can design operations in such a way that availability, security, costs and scalability work in harmony – even as the platform, product and organisation evolve.## ContextCOMPARUS develops solutions for agile IT transformation and operates its own scalable SaaS and AI platform, TiONA. Depending on the client’s specific needs and regulatory requirements, our platform can be hosted in our own cloud, in public cloud environments, or on-premises at the client’s site.We deliberately combine professional services and product development: services fund innovation, products scale impact.For this to work, we need operations that do not merely manage, but enable sustainable growth.## Your missionAs Platform Reliability Lead, you will have end-to-end responsibility for the stable, secure and cost-effective operation of our platforms. This responsibility is not fulfilled through a supervisory role,but through active involvement in operations and system management.Your goal is clear:Operations must not be a bottleneck – they must enable scaling without causing complexity and costs to spiral out of control.You combine traditional operational excellence with automation, AI and AIOps to ensure reliability not through manual intervention, but through a systematic approach.## Your area of responsibility### System-wide responsibility* Overall responsibility for availability, performance, security and costs* Establishing and managing SLOs, operational KPIs and risk assessments* Defining clear decision-making processes for release, change and go/no-go decisions* Ensuring genuine 24/7 operational capability across relevant environments### DevOps, SRE & Incident Management* Further development and consolidation of operations, DevOps and SRE structures* Establishment and leadership of a small, high-impact operations/DevOps team* Establishment of clear incident, problem and change processes* Management of major incidents, including structured internal and external communication### AI, Automation & AIOps* Identification and prioritisation of genuine automation levers along the Ops value chain* Introduction and utilisation of AIOps approaches, including: + Intelligent alerting & alert deduplication + Anomaly detection & predictive monitoring + Incident summaries & runbook automation + Capacity and cost forecasting* Goal: fewer manual interventions, greater stability through systems### Costs, compliance & scaling* Responsibility for cloud and platform cost management (FinOps)* Ensuring data protection, information security and auditability* Preparing the platform for growth, new customers and new markets* Setting up transparent dashboards for technical, business and management## Expected impactAfter 30 days* You have a clear picture of the platform’s status, risks and operational bottlenecks* You can clearly prioritise what is currently holding back scaling – whether technical, organisational or financialAfter 60 days* Key SLOs are defined, measurable and embedded in day-to-day operations* Incident and on-call structures ensure reliable responsiveness without burning out teams* Initial automations noticeably reduce manual ops workAfter 90 days* Operations are no longer a bottleneck for product or customer scaling* AIOps approaches deliver tangible value (fewer alerts, faster analyses, better forecasts)* Costs, risks and operational capability are transparent and manageable6–12-month outlook* The platform scales without operational overhead increasing linearly* Operations are viewed internally as an enabler for growth, not as a controlling body* Decisions regarding architecture, releases and scaling are based on data rather than gut feeling## What we are looking for* Several years’ experience in Platform Operations, SRE, DevOps or IT Operations Leadership* In-depth knowledge of modern cloud and platform architectures* Experience in building and leading cross-functional teams* Proficiency in SLO/SLA management, incident and risk management* Proven experience with automation and AI or AIOps approaches* Strong decision-making skills, clear communication and a structured approach to work* Entrepreneurial mindset with a focus on quality, efficiency and scalabilityImportant:For us, leadership means leading by example. You will consistently take a hands-on approach – particularly when it comes to critical operational decisions, incident analysis, system design, automation and the further development of reliability and AIOps structures.This role is not purely a management role.## What we offer* A strategically central role with genuine scope for creativity* Work on scaling AI and SaaS platforms* The opportunity to establish AI-driven operations from the ground up* Short decision-making processes, no title-based hierarchy, high level of personal responsibility* International environment with a hybrid working model* Attractive remuneration and personalised development## Cultural fitOur focus isn’t always constant – but our sense of responsibility is.If you can handle shifting priorities whilst still delivering reliable results, you’ll find plenty of creative freedom here.If, however, you require long-term stability and unchanging conditions, this role is probably not the right fit for you.
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