What we offer you

• An attractive remuneration package
• Access to Siemens share plans
• 2 to 3 days of mobile working per week as a global standard
• Up tp 30 days workation per year in certain countries
• Flexible training opportunities for both your professional and personal development that you can tailor to your interests
• (Global) development programs that can be customized according to your wishes and ambitions

Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here.

The individual benefits are subject to regulatory, contractual, or corporate conditions.

You’ll break new ground by

• Being part of a global, diverse AI and data platforms team leveraging cutting-edge technologies to accelerate Siemens' digital transformation
• Designing and implementing Azure architectures using Terraform and Infrastructure-as-Code principles for AI and data-driven platforms
• Building and integrateing solutions using Azure’s Data & AI stack—including Azure Machine Learning, Azure OpenAI, Azure Synapse, and Azure Data Factory to enable scalable, intelligent, and data-driven applications.
• Enabling and supporting AI teams in building, training, deploying, and scaling models in production (MLOps)
• Providing architectural guidance and collaborating across Siemens on topics like security, cost-efficiency, and performance optimization
• Developing and maintaining cloud automation, CI/CD pipelines, and governance measures
• Ensuring adherence to best practices in infrastructure, monitoring, and security
• Acting as a trusted advisor and technical lead—mentor team members and promote technical excellence
• Engaging and consulting internal users and clients

Your success is grounded in

• Education: A university degree in Computer Science, IT, Engineering or a related field

• Experience & Skills

• 5+ years of hands-on experience with Azure cloud architecture and Terraform-based infrastructure deployment
• Strong knowledge of Azure PaaS services, networking (VNet, subnets, VPNs), and security (e.g. IAM, data protection, WAF)
• Demonstrated experience with Azure’s Data & AI tools—Azure Machine Learning, Synapse Analytics, OpenAI, and Data Factory
• Proficiency in scripting and automation using Shell, PowerShell, or Python
• Experience implementing and managing CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) and MLOps workflows
• Familiarity with containerization and orchestration (e.g. Docker, AKS)
• A collaborative mindset, ability to work across international teams, and strong communication skills

• Languages: Fluency in English, both written and spoken

You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!

Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let’s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.

About us

At Siemens, we build technology solutions that shape the world we live in. We transform industries and societies by combining the real and digital worlds. With over 300,000 of the world’s most forward-thinking minds and a presence in more than 190 countries, we make a truly global impact.

To solve the biggest challenges of our time, we need bright minds with the ambition to make the impossible possible. Siemens is the place where you can thrive, challenge the status quo, make an impact, and grow alongside a team of innovators who share your passion for technology. Are you in?

www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens.

FAQ – if you need further information on the application process.