AI & Automation Cloud Infrastructure Engineer

🕒 June 11

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Jedox

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2002

☁️ SaaS

💸 Finance

🏢 Enterprise

SaaS • Finance • Enterprise

Jedox is a SaaS company that provides an integrated planning, budgeting, forecasting, and enterprise performance management (EPM) platform for finance and operational teams. It combines no-code/low-code tools, data integration, and AI-driven capabilities (JedoxAI) to automate FP&A processes, enable scenario modeling, financial consolidation, reporting, and real-time insights. Jedox is aimed at enterprise and corporate finance users to improve decision-making, streamline reporting, and drive finance-led digitalization.

📋 Description

• As an AI & Automation Cloud Infrastructure Engineer, you will shape and constantly develop Jedox's in-house AI cloud platform, allowing expandable, protected, and automated AI, ML, and GenAI workloads. • This highly technical role involves designing, building, and operating robust cloud infrastructures, defining reusable standards and ensuring operational excellence in production. • Design AI cloud solution architectures: Design and develop strong architectures for infrastructure, data, security and integration patterns for AI workloads. • Enable AI, ML and GenAI workloads: Define reusable templates, standards and architectures for efficient cloud-based deployment. • Collaborate across teams: Work closely with the Cloud Platform, SRE, Architecture and Engineering teams to ensure scalable and reliable AI services. • Implement GitOps workflows: Promote controlled environment PR-based processes for models, services and infrastructure. • Support MLOps lifecycle: Contribute to model deployment, promotion, rollback and operational support. • Ensure production readiness: Design for scalability, performance and high availability in production environments, with the aim of ensuring maximum efficiency and reliability. • Strengthen observability, reliability, and security: Enhance monitoring, incident response, and ensure compliance, data protection, and best practices.

🎯 Requirements

• 3+ years' experience in cloud engineering, platform, DevOps or SRE roles, with exposure to AI platform enablement. • Strong hands-on experience with cloud platforms (ideally Microsoft Azure), including networking, identity, storage and security. • Practical experience with Kubernetes and containerised workloads (AKS preferred). • Solid understanding of AI/ML workloads, including training vs. inference, scaling behaviour and resource requirements. • Hands-on experience with automation, GitOps and MLOps concepts (e.g. CI/CD, model lifecycle, Argo CD and Helm). • Experience with observability, reliability and cost-aware cloud operations (e.g. monitoring stacks and FinOps basics). • Strong software engineering mindset, with the ability to build maintainable automation, tools or services. • Highly motivated to continuously learn and develop skills. • Excellent written and verbal English communication skills with strong attention to detail.

🏖️ Benefits

• Flexible work: we love to work together in the offices as #Oneteam, but we also enjoy the possibility of working from everywhere and owning working hours. • Take time to care for yourself: We offer generous vacation time and comprehensive health benefits plans, including Pension plans. • Plan for your future: Planning means something different to everyone. Work with your Line Manager to implement a career growth plan that suits your path. • Reduce your footprint: All offices are centrally located and can be easily reached via public transportation. • Most Jedox offices offer public transit reimbursement or other perks like bike leasing. • High-impact working environment: we enjoy flat hierarchies and short decision-making processes. • Get corporate discounts across many brands and products.