AI & Automation Cloud Infrastructure Engineer (m/f/d) at JEDOX PTE LTD

Frankfurt, Hesse, Germany -

Full Time

Start Date

Immediate

Expiry Date

09 Sep, 26

Salary

0.0

Posted On

11 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Microsoft Azure, Kubernetes, AKS, GitOps, MLOps, Argo CD, Helm, CI/CD, Cloud Architecture, FinOps, Containerization, Observability

Industry

Software Development

Description

What is Jedox? At Jedox, we help businesses plan for a better future. Our Enterprise Performance Management (EPM) software empowers finance, sales, and other departments to budget, forecast, and analyze data—all in one intuitive platform. We’re on a mission to turn complex planning into #Superplännen: that amazing moment when everything goes exactly as you envisioned it. Your Responsibilities 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. By working closely with the Cloud Platform, SRE, Architecture and Engineering teams, you will combine your expertise in cloud engineering with your knowledge of AI and automation to deliver reliable, cost-efficient and cloud-native AI services that will drive Jedox’s innovation forward. 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. Improve observability, reliability and security: Improve Ensure compliance, data protection and best practices by enhancing monitoring and incident response. Enable platform evolution and provide expert advice: Contribute to AI platform roadmaps and serve as a subject-matter expert for AI cloud technologies. Your Profile 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. Location: We are ideally looking for a candidate based near one of our office locations in Frankfurt or Freiburg. But if you are located anywhere in Germany and willing to travel for team meetings, we would also be delighted to hear from you. What’s in It for You Transparency Note: Use of Artificial Intelligence As a tech-driven company, Jedox uses modern technologies — including AI — to continuously improve our processes. In recruiting, AI may support us in screening and structuring applications. It does not replace human judgment, but helps us reduce bias and ensure a consistent candidate experience. Your application is always reviewed by real people. If you would like to learn more about the process, please visit the website of our partner Hi People. Here you will find information about the data protection guidelines as well as the most recent security checks. This gives you complete clarity on how your data is protected and processed. Of course, you can also contact us at any time if you have any questions. About us Jedox is a leading software solution that enables business planning, budgeting, and forecasting for finance, sales, and other business functions with leading-edge technology to drive Digital Transformation and provide tangible customer value. Constant innovation has made us a leader in the Enterprise Performance Management (EPM) sector. Our Values At Jedox, we pride ourselves on our core corporate values, which drive our success as a team. Our growth mindset encourages us to constantly learn, evolve and innovate, pushing ourselves to new heights. We work together as #OneTeam OneJedox, with a shared passion for achieving excellence in everything we do. We execute with precision and hold ourselves to the highest standards of excellence, ensuring that we deliver impactful results that exceed our customers' expectations. Our focus on people centricity ensures that our employees are at the heart of everything we do, enabling us to attract and retain top talent. We believe that effective communication and engagement are key to building strong relationships, both internally and with our customers, partners and stakeholders. Why should you join our team? At Jedox, we want our customers to achieve #Superplännen. It is that exhilarating feeling when an organization performs how it envisioned it. When you plan for the future and achieve your goals, we call it Superplännen, and we want you to achieve the same. This is why at Jedox our culture is shaped by our global collaboration, passion for people and development, diversity, and commitment to innovation. We refer to it as our #OneTeam mantra, which is ingrained in everything we do. We believe in lifelong learning and encourage team members to pursue personal and professional development, including internal & external training and certifications. We also enjoy meeting regularly (online or in persona) with each other all across the world for work, team events, to spend quality time together & have fun, or even do sports together. The same effort and attention are being given to ensure employee satisfaction in an out of the office. Some of those perks include: 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. Jedox is committed to creating an inclusive workplace and does not discriminate based on color, religion or belief, nationality, social or ethnic origin, age, gender, sexual orientation, or any other status protected by the laws and regulations in the geographic locations in which we operate.

Responsibilities

Design and operate a robust, automated cloud infrastructure to support AI, ML, and GenAI workloads. Collaborate with SRE and Engineering teams to implement GitOps workflows and ensure production readiness and scalability.