Operations Engineer Data & AI (m/w/d)

About us

statworx is a leading Data & AI Consulting and Development company in the DACH region. For more than a decade, we have been helping organizations succeed with consulting, development, and training - delivering over 1,000 successful projects for more than 100 clients across nearly every industry.

From AI strategy to implementation, we develop innovative solutions. With expertise in AI Strategy, Generative AI, Agentic AI, Data & AI Engineering, and AI Infrastructure, we support organizations throughout their entire AI transformation journey.

Our goal: Creating value from Data & AI.

Our AI Development department serves as a facilitator for Data & AI transformation. We are taking a holistic approach, from the initial evaluation of AI maturity, through the design and development of data and AI solutions, to the practical implementation and scaling of AI solutions. Through our deep expertise in Data Engineering, Data Science, Machine Learning, we ensure that our clients gain the maximum value from their data.

Your tasks

Focus: Operating, maintaining, and continuously improving productive AI and ML systems in cloud environments

• As part of our AI Operations team, you maintain and support productive AI solutions and applications for our clients across cloud environments, with a strong focus on Azure
• You ensure the stable and reliable operation of AI and ML systems in production and take responsibility for availability, performance, and service quality
• You manage updates, patches, and smaller enhancements for existing solutions and implement fixes in Python where required
• You monitor productive systems, improve observability and alerting, and proactively identify potential issues before they affect operations
• You analyze, troubleshoot, and resolve production incidents, bugs, and application issues in close collaboration with project teams and stakeholders
• You support the remediation of vulnerabilities, security findings, and CVEs and contribute to maintaining secure and compliant production systems
• You work with APIs, cloud services, and container-based deployments to diagnose issues and maintain reliable integrations between system components
• You contribute to the continuous improvement of operational processes, deployment workflows, and maintenance standards within AI Operations
• You collaborate closely with consultants, developers, and engineers and actively contribute to internal knowledge sharing and best practices
• You help ensure reliable support during regular business hours and contribute to operational excellence through a structured and service-oriented approach

Your profile

• You have strong hands-on experience operating and maintaining productive cloud-based systems, ideally with a focus on AI or machine learning applications
• You bring at least two years of experience in cloud and IT environments, including solid experience supporting and managing production systems
• You have deep expertise in Azure and are confident working with services such as Azure Container Apps, Azure Functions, Azure Application Insights, Azure AI Search, and Azure OpenAI
• You are experienced with containerized and serverless architectures and are comfortable working with technologies such as Docker
• You have experience with Python, particularly for troubleshooting, automation, or implementing fixes in existing services
• You have a strong understanding of monitoring and observability and know how to improve alerting and production visibility
• You are familiar with vulnerability management, dependency maintenance, and the remediation of CVEs and other security-related issues
• You have experience with CI/CD pipelines and deployment workflows, ideally using Azure DevOps and/or GitHub Actions
• You work in a reliable, diligent, and detail-oriented manner and take ownership of operational quality and system stability
• You are a strong team player and communicator with professional-level English skills

Our offer

• Data & AI at the core: Work on diverse and challenging projects with leading clients across various industries - from data-driven solutions to innovative AI applications
• Professional variety & growth: Tackle complex, multifaceted questions and continuously expand your expertise in your field as well as in the broader Data & AI landscape
• Continuous development: We support your methodological, professional, and personal growth through regular feedback, tailored learning opportunities, training formats, and our mentoring program
• Culture & collaboration: You’ll be part of an open, diverse, and respectful work environment with flat hierarchies, short decision-making paths, and a strong sense of team spirit
• Modern ways of working: We embrace an iterative, modern work culture based on clear communication, ownership, and room for new ideas and creative freedom
• Transparent compensation: We offer fair, structured, and transparent salary bands that are regularly reviewed and aligned with market and performance developments
• Flexible work setup: Our modern Frankfurt office serves as your main workplace - while giving you the flexibility to work remotely on a regular basis and up to four weeks per year from within the EU
• Mobility & well-being: Benefit from a subsidized Germany Ticket and discounted access to sports and wellness offerings through Wellpass
• Equipment & extras: High-quality IT equipment (e.g., MacBook Pro), regular team events, childcare support, and attractive employee discounts complete your package

Your application

Simply apply via the application form and attach your current CV including a description of your methodological skills. We will contact you as soon as possible. If you have any questions on your application, you can reach us at [email protected].

What is particularly important to us is that we value the uniqueness of each person and always treat each other as equals. Different backgrounds, attitudes and ideas enrich us and form the basis of our success. That's why we welcome every application - regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, or sexual orientation and identity.