Junior Site Reliability Engineer in Leinfelden-Echterdingen bei Daimler Truck AG

Shape the future of Enterprise Cloud Platform Operations with us!

Welcome to the Daimler Truck Cloud Team! We are responsible for building public cloud platforms for all Daimler Truck IT applications worldwide. Our team collaborates with other Truck Cloud Teams around the globe (United States, India, Japan…). We work in an agile, product-oriented manner to enable Azure and AWS usage for all our Truck IT application landscape like manufacturing, connected and autonomous vehicle backends and big data & analytics platforms. We are the core of cloud at Daimler Trucks.

We are looking for smart, committed and enthusiastic talents that want to build cutting-edge cloud platform functionality. Join us establishing a new way our enterprise is dealing with enterprise-scale cloud platform deployments. We are adopting the SRE (Site Reliability Engineering) concept and bring it to the worlds market leader in commercial vehicles. This means changing the way we work and think. And we will be taking the lead.

Who we are

Our energetic team is responsible for the architecture, development, delivery and operations of the Azure and AWS cloud platforms we build up at Daimler Truck IT Infrastructure. Worldwide, every day for 24 hours on 365 days a year. We are part of a global cloud organization that is follow-the-sun capable.

Responsibilities

As a Junior Site Reliability Engineer in our team, this is what awaits you:

• The global responsibility to develop and enhance our cloud provisioning pipelines and backend systems
• An environment fostering knowledge exchange, best practice discussions and continuous learning
• The possibility to interact with our cloud lead architects and software engineers as well as the opportunity to design the best processes and automation to provide our cloud products to internal customers
• You will engage in building fully automated deployments and steer the evolution of our internal tool landscape to always be on top of cloud automation technology
• Analyze customer requirements and expectations and decompose them into internal system- and process-requirements