AI & Automation Cloud Infrastructure Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• In the role of AI & Automation Cloud Infrastructure Engineer, you will continuously enhance and develop Jedox's proprietary AI cloud platform, facilitating expandable, secure, and automated AI, ML, and GenAI workloads.

• This technical position requires the design, construction, and management of resilient cloud infrastructures, establishing reusable standards and guaranteeing operational excellence in production environments.

• Design AI cloud solution architectures: Create and implement robust architectures for infrastructure, data, security, and integration patterns tailored for AI workloads.

• Enable AI, ML, and GenAI workloads: Develop reusable templates, standards, and architectures to ensure efficient deployment in the cloud.

• Collaborate across teams: Partner closely with the Cloud Platform, SRE, Architecture, and Engineering teams to deliver scalable and reliable AI services.

• Implement GitOps workflows: Facilitate controlled environment processes based on pull requests for models, services, and infrastructure.

• Support the MLOps lifecycle: Assist in the deployment, promotion, rollback, and operational support of models.

• Ensure production readiness: Design systems for scalability, performance, and high availability in production settings, aiming for maximum efficiency and reliability.

• Strengthen observability, reliability, and security: Improve monitoring, incident response, and ensure compliance, data protection, and adherence to best practices.

⛳️ Requirements

• A minimum of 3 years' experience in cloud engineering, platform, DevOps, or SRE roles, with a focus on enabling AI platforms.

• Strong practical experience with cloud platforms (preferably Microsoft Azure), encompassing networking, identity, storage, and security.

• Hands-on experience with Kubernetes and containerized workloads (AKS is preferred).

• Comprehensive understanding of AI/ML workloads, including the differences between training and inference, scaling behavior, and resource requirements.

• Practical experience in automation, GitOps, and MLOps principles (e.g., CI/CD, model lifecycle, Argo CD, and Helm).

• Experience with observability, reliability, and cost-effective cloud operations (e.g., monitoring stacks and FinOps fundamentals).

• A strong software engineering mindset, capable of creating maintainable automation, tools, or services.

• Highly driven to continuously learn and develop new skills.

• Excellent proficiency in written and verbal English communication, with a keen attention to detail.

🏝️ Benefits

• Flexible work arrangements: While we appreciate working together in the office as #Oneteam, we also value the option to work remotely and manage our own hours.

• Prioritize your well-being: We provide generous vacation time and extensive health benefits packages, including pension plans.

• Prepare for your future: Career planning is unique to everyone. Collaborate with your Line Manager to develop a personalized career growth plan.

• Minimize your environmental impact: All offices are centrally situated and easily accessible via public transport.

• Many Jedox offices offer public transit reimbursements or additional benefits like bike leasing.

• Work in a high-impact environment: We enjoy flat hierarchies and swift decision-making processes.

• Access corporate discounts on various brands and products.