Jobs / Jedox
AI & Automation Cloud Infrastructure Engineer (m/f/d)
Jedox · Home Office, Deutschland
Home Office, DeutschlandExp: 3+ yrsRemote
Remuneration
Not specified
Location
Home Office, Deutschland
Visa sponsorship
Not specified
Job summary
Jedox is seeking an AI & Automation Cloud Infrastructure Engineer to develop and maintain their in-house AI cloud platform. This role involves designing, building, and operating robust cloud infrastructures, defining reusable standards, and ensuring operational excellence in production. The engineer will work closely with various teams to deliver reliable, cost-efficient, and cloud-native AI services.
Benefits
Generous vacation timeComprehensive health benefits plansPension plansPublic transit reimbursementBike leasingCorporate discountsInternal trainingExternal trainingCertifications
Qualifications
- 3+ years of experience in cloud engineering, platform, DevOps, or SRE roles
- Exposure to AI platform enablement
- Strong hands-on experience with cloud platforms (ideally Microsoft Azure)
- Experience with networking, identity, storage, and security in cloud platforms
- Practical experience with Kubernetes and containerized workloads (AKS preferred)
- Solid understanding of AI/ML workloads, including training vs. inference, scaling behavior, and resource requirements
- Hands-on experience with automation, GitOps, and MLOps concepts (e.g., CI/CD, model lifecycle, Argo CD, Helm)
- Experience with observability, reliability, and cost-aware cloud operations (e.g., monitoring stacks, FinOps basics)
- Strong software engineering mindset
- Ability to build maintainable automation, tools, or services
- Highly motivated to continuously learn and develop skills
- Excellent written and verbal English communication skills
- Strong attention to detail
Responsibilities
- Shape and develop Jedox's in-house AI cloud platform
- Design, build, and operate robust cloud infrastructures
- Define reusable standards for cloud infrastructure
- Ensure operational excellence in production
- Combine cloud engineering expertise with AI and automation knowledge
- Deliver reliable, cost-efficient, and cloud-native AI services
- Design and develop architectures for infrastructure, data, security, and integration patterns for AI workloads
- Define reusable templates, standards, and architectures for efficient cloud-based deployment
- Collaborate with Cloud Platform, SRE, Architecture, and Engineering teams for scalable and reliable AI services
- Promote controlled environment PR-based processes for models, services, and infrastructure
- Contribute to MLOps lifecycle including model deployment, promotion, rollback, and operational support
- Design for scalability, performance, and high availability in production environments
- Enhance monitoring and incident response
- Ensure compliance, data protection, and best practices
- Contribute to AI platform roadmaps
- Serve as a subject-matter expert for AI cloud technologies
Skills
AKSArgo CDAzureHelmKubernetes
Languages
English
Travel
Travel for team meetings
Industry
Enterprise Performance Management (EPM)
Relocation
Yes