SICK is one of the world’s leading solutions providers for sensor-based applications in the industrial sector. Founded in 1946 by Dr.-Ing. e. h. Erwin Sick, the company with headquarters in Waldkirch, Breisgau near Freiburg ranks among the technological market leaders. With more than 50 subsidiaries and equity investments as well as numerous agencies, SICK maintains a presence around the globe. SICK has more than 12,000 employees worldwide and generated a group revenue of around EUR 2.3 billion in the 2023 fiscal year.
Engineer* Cloud & Data Operations (f/m/d)
Together, we strive to achieve the strategic goal of making the possibilities of current AI technologies sustainably usable in the company and offering our customers intelligent interfaces to our services and products that are made for people. You will play a decisive role in this by ensuring that the necessary data basis and infrastructure requirements are in place and are continuously developed. With this role, you will be at the start of an exciting journey as a pioneer of a new innovation team in IT, with plenty of freedom to make your own decisions.
YOUR TASKS:
- Together with our data scientists and AI engineers, you will work on exciting AI use cases and lay the technical foundations for the latest AI technologies, FAIR data and human interfaces
- From conception and prototyping to the operation of scalable and highly available data solutions, you will support us in implementing our projects in the cloud or on-premises efficiently, solution-oriented and successfully with the help of cloud-native technologies
- You will actively contribute to building a modern data infrastructure and runtime environment in the company and promote a culture of "Everything as a Service” (XaaS) and XOps
- By continuously monitoring current trends and technologies in the data and cloud environment, you will make a significant contribution to further strengthening our data and cloud expertise within the company
YOUR PROFILE:
- Completed studies in the field of (business) informatics, data science or a comparable qualification
- You have several years of professional experience and excellent knowledge of data operations and cloud technologies, such as Microsoft Azure, and have knowledge of software development using microservice architectures
- You actively follow the latest developments in the field of data architectures, such as data mesh, data storage, platform engineering, site reliability engineering (SRE) and have an interest in AI topics
- You are characterized by an extraordinarily high degree of initiative and curiosity and maintain an independent, systematic and solution-oriented way of working
- You love to learn more about the latest technologies, are passionate about making complex technologies more accessible and want to contribute to one of the most innovative sensor companies deeply rooted in sustainable and responsible technology
YOUR APPLICATION:
- We are looking forward to your online application
- Petra Kirner
- Job-ID 35874
- All applications will be treated confidentially
*At SICK, we see people, not gender.
We put great emphasis on diversity, reject discrimination and do not think in categories such as gender, ethnicity, religion, disability, age or sexual identity.
Stichworte: Research, Development, Forschung, Entwicklung, Berufserfahrene, Berufserfahrung, berufserfahren, erfahren, mehrjährig, Entwickler, Entwicklerin, Softwareentwickler, Softwareentwicklerin, Softwareentwicklung, Entwicklung, Developer, Software, Ingenieur, Ingenieurin, Engineer, eingebettet, electrical, microsystems
Together, we strive to achieve the strategic goal of making the possibilities of current AI technologies sustainably usable in the company and offering our customers intelligent interfaces to our services and products that are made for people. You will play a decisive role in this by ensuring that the necessary data basis and infrastructure requirements are in place and are continuously developed. With this role, you will be at the start of an exciting journey as a pioneer of a new innovation team in IT, with plenty of freedom to make your own decisions.
YOUR TASKS:
- Together with our data scientists and AI engineers, you will work on exciting AI use cases and lay the technical foundations for the latest AI technologies, FAIR data and human interfaces
- From conception and prototyping to the operation of scalable and highly available data solutions, you will support us in implementing our projects in the cloud or on-premises efficiently, solution-oriented and successfully with the help of cloud-native technologies
- You will actively contribute to building a modern data infrastructure and runtime environment in the company and promote a culture of "Everything as a Service” (XaaS) and XOps
- By continuously monitoring current trends and technologies in the data and cloud environment, you will make a significant contribution to further strengthening our data and cloud expertise within the company
YOUR PROFILE:
- Completed studies in the field of (business) informatics, data science or a comparable qualification
- You have several years of professional experience and excellent knowledge of data operations and cloud technologies, such as Microsoft Azure, and have knowledge of software development using microservice architectures
- You actively follow the latest developments in the field of data architectures, such as data mesh, data storage, platform engineering, site reliability engineering (SRE) and have an interest in AI topics
- You are characterized by an extraordinarily high degree of initiative and curiosity and maintain an independent, systematic and solution-oriented way of working
- You love to learn more about the latest technologies, are passionate about making complex technologies more accessible and want to contribute to one of the most innovative sensor companies deeply rooted in sustainable and responsible technology
YOUR APPLICATION:
- We are looking forward to your online application
- Petra Kirner
- Job-ID 35874
- All applications will be treated confidentially
*At SICK, we see people, not gender.
We put great emphasis on diversity, reject discrimination and do not think in categories such as gender, ethnicity, religion, disability, age or sexual identity.
Stichworte: Research, Development, Forschung, Entwicklung, Berufserfahrene, Berufserfahrung, berufserfahren, erfahren, mehrjährig, Entwickler, Entwicklerin, Softwareentwickler, Softwareentwicklerin, Softwareentwicklung, Entwicklung, Developer, Software, Ingenieur, Ingenieurin, Engineer, eingebettet, electrical, microsystems