Senior AI DevSecOps Engineer | Senior AI DevSecOps (m/w/d)
Deutsche Telekom AG
Job Summary
As a Senior AI DevSecOps Engineer at T-Systems International GmbH, you will play a pivotal role in securing and scaling cutting-edge artificial intelligence initiatives. Your daily responsibilities involve designing, implementing, and maintaining robust CI/CD pipelines specifically tailored for AI/ML workloads. You will manage highly available and scalable cloud infrastructure on Azure or AWS using Kubernetes, Docker, and Infrastructure as Code (IaC) tools like Terraform. A core focus of the position is the integration of Application Security best practices, including SAST/DAST and AI Model Security, throughout the entire development lifecycle. Additionally, you will utilize Python and MLOps frameworks to optimize the deployment and management of machine learning models while ensuring system health through monitoring and observability tools. This role offers the unique opportunity to build the secure foundations for the next generation of AI-driven products within a leading digital transformation partner.
Required Skills
Education
Not specified
Experience
- Senior-level professional experience in DevSecOps and CI/CD pipeline automation
- Extensive experience with Kubernetes and Docker containerization
- Practical experience with Infrastructure as Code (IaC) using Terraform
- Hands-on experience with cloud platforms such as Azure or AWS
- Strong programming experience in Python
- Professional experience in application security (SAST/DAST) and securing AI models
- Experience with MLOps frameworks and monitoring/observability tools
Languages
Additional
- The position is available as full-time or part-time. Severely disabled applicants will be given priority consideration in the case of equal suitability.
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