Senior Cloud DevOps Engineer AI Governance

About AI4DevOps

With the AI4DevOps project, we are creating a company-wide, standardized framework for the pragmatic, secure, and scalable use of Artificial Intelligence in the DevOps lifecycle. The goal is to specifically relieve developers and DevOps teams, increase quality, and sustainably integrate AI into tools, processes, and governance.

The core component is the AI4DevOps Navigator as part of the DevOps Mainline. It bundles validated AI use cases, standards, best practices, prerequisites, and integration options along the DevOps lifecycle and serves as an operational guide for teams.

Responsibilities

• You analyze complex requirements and conceptualize strategic AI-supported DevOps use cases, the implementation of which you manage independently and further develop together with interdisciplinary teams.
• You are responsible for the development, integration, and operation of scalable automation solutions within the DevOps toolchain and drive their continuous optimization and standardization.
• You initiate and lead Proofs of Concept as well as technological evaluations and create well-founded decision-making bases for the use of new technologies and target architectures.
• You define, establish, and are responsible for sustainable quality assurance measures and best practices (incl. testing, CI/CD, documentation) and actively manage the further development of the Mainline.
• You take on technical leadership responsibility by coordinating projects, making largely autonomous decisions, and actively promoting the professional development of team members.

Requirements

• You have experience in cloud and platform architectures, especially with public cloud offerings from Azure, AWS, OpenAI, or Anthropic.
• You have sound experience in development with Java and Spring Boot, as well as with agentic frameworks and AI-based automation.
• You have extensive practical experience with CI/CD and DevOps processes (e.g., GitHub Actions, proFlow, CICDnext) and routinely implement test-driven development and common security standards (e.g., OWASP).
• You have experience in agile development environments and in using modern development approaches (e.g., Agentic SDLC) as well as proven practical knowledge in the productive use of AI tools such as GitHub Copilot to increase efficiency in software development.
• You are motivated to actively help shape a company-wide AI framework for DevOps with high visibility and have a high willingness to learn.

Learnable Skills

As part of your onboarding, you will expand your knowledge of:

• AI-SDLC and integration of AI into DevOps processes and agentic frameworks and AI-based automation
• Application of AI Governance and Policy as Code

Benefits

• Opportunity to work from "home office" in the sense of mobile, location-independent work within Germany, including the associated technical equipment
• Flexible working hours, including the option for time off in lieu for good work-life balance
• Large offering of professional and personal further training, both during and outside working hours, as well as numerous internal communities for networking and mutual learning
• And much more...

About Us

DATEV is more than a green rectangle. We are one of the largest software and IT service providers in Europe, headquartered in Nuremberg. More than 9,000 employees give their all to drive forward the digitalization of the business processes of our over 900,000 customers. They rely on our PC and cloud solutions as well as mobile apps, and use them to process around 14 million payrolls per month, for example. We are a strong and open community where people not only arrive quickly but also like to stay. Our culture of security and openness, which meets a technologically advanced working environment, ensures this. Diversity, Equity, and Inclusion are the essential foundation for us so that everyone can participate equally in working life.