Our digital teams are very diverse: We take care of things like programming, product development, product design (UX/UI), and web analysis. Everyone is pursuing a common goal: to create digital contact points between HSE and customers again and again with the latest technologies. Are you in?

HSE is one of Europe’s leading live commerce providers. Whether via its three TV channels, online shop, award-winning HSE app, or social commerce channels – HSE customers decide when and where they want to shop. HSE stands for the most entertaining form of shopping and inspires 1,2 million active customers who appreciate its curated range of fashion, jewelry, beauty, wellness, household, and home & living products.

The company reaches 45 million households in Germany, Austria, and Switzerland via its three TV channels (HSE, HSE Extra, and HSE Trend). Around 800 employees ensure an inspiring and customer-oriented shopping experience. Through its business partners, HSE also creates over 1,700 additional jobs in the areas of logistics, call centers, and tech development.

HSE has received multiple awards for its outstanding service quality. Since 2012, the company has been majority-owned by the investment firm Providence Equity Partners.

Further information is available at corporate.hse.com and www.hse.com.

What you can expect:

• You develop and optimize AI operations processes related to deployment, containerization, automation, and CI/CD pipelines.
• You work closely with engineering teams to reliably bring AI solutions from development into productive cloud environments.
• You set up monitoring solutions for productive AI services with regard to performance, availability, latency, and error rates.
• You ensure efficient cost control in AI operations – including cloud cost management, token optimization, and FinOps approaches.
• You collaborate closely with Product Management, Engineering, and IT and support the integration of scalable AI solutions into existing system landscapes.

Requirements

• You have several years of professional experience in DevOps and Cloud Infrastructure – ideally in the field of AI or Machine Learning.
• You have several years of professional experience with modern cloud platforms such as AWS or Google Cloud Platform (GCP).
• You are familiar with technologies such as Docker, Kubernetes, CI/CD pipelines, and Infrastructure-as-Code.
• You bring expertise in monitoring, observability, and incident management – for example with tools such as Grafana, Prometheus, or CloudWatch.
• You work in a structured, analytical, and solution-oriented manner and maintain oversight even in dynamic operational environments.
• You communicate confidently within interdisciplinary teams and have very good written and spoken English skills.