About the Position

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

COMPARUS GmbH is seeking a Platform Reliability Lead for AI-native operations to ensure platform stability, security, and scalability.

Employment Type: Full-time

Location: Hamburg, DE

Work Model: Hybrid

Role Description

This 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 organization evolve.

Context

COMPARUS 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.

Responsibilities

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 prioritization of genuine automation levers along the Ops value chain
Introduction and utilization 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 Impact

After 30 days: You have a clear picture of the platform’s status, risks, and operational bottlenecks. You can clearly prioritize what is currently holding back scaling – whether technical, organizational, or financial.
After 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 work.
After 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 manageable.
6–12-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.

Requirements

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 scalability

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 personalized development

Cultural Fit

Our focus isn’t always constant – but our sense of responsibility is.

If you can handle shifting priorities while 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.

Benefits & Essentials

Strong Benefits, Real Appreciation

Because your commitment counts!

Lunch: Enjoy high-quality meals at discounted prices.
Childcare: We subsidize the care of pre-school children.
Commuting: We subsidize your travel by public transport.
Retirement Plan: Benefit from additional provisions for your future.
Flexible Working Hours
Work from Home Option
State-of-the-art Hardware
Drinks and Fresh Fruit

Application

We would like to get to know you. We use analytics cookies to understand how visitors use our website and to improve our services. Your data is collected anonymously. Privacy Policy

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

Job Description, Responsibilities & Requirements