Asks for

The ad says“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”
The ad says“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”
The ad says“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”
The ad says“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”
The ad says“You have experience with CI/CD pipelines and deployment workflows, ideally using Azure DevOps and/or GitHub Actions”
The ad says“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”
The ad says“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”
The ad says“You have experience with CI/CD pipelines and deployment workflows, ideally using Azure DevOps and/or GitHub Actions”
The ad says“You are experienced with containerized and serverless architectures and are comfortable working with technologies such as Docker”
The ad says“You have experience with CI/CD pipelines and deployment workflows, ideally using Azure DevOps and/or GitHub Actions”
The ad says“You have a strong understanding of monitoring and observability and know how to improve alerting and production visibility”
The ad says“You have experience with Python, particularly for troubleshooting, automation, or implementing fixes in existing services”
The ad says“You are familiar with vulnerability management, dependency maintenance, and the remediation of CVEs and other security-related issues”

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 jobs@statworx.com.

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.