$ cat jobs/cloud-platform-engineer-tires-continental-2f0c18b61eb7.json
Cloud Platform Engineer - Tires
Continental is a leading tire manufacturer and industry specialist. Founded in 1871, the company generated sales of €19.7 billion in 2025 and currently employs around 78,000 people in 54 countries and markets. Tire solutions from the Tires group sector make mobility safer, smarter, and more sustainable. Its premium portfolio encompasses car, truck, bus, two-wheel, and specialty tires as well as smart solutions and services for fleets and tire retailers. Continental has been delivering top performance for more than 150 years and is one of the world’s largest tire manufacturers. In fiscal 2025, the Tires group sector generated sales of 13.8 billion euros. Continental's tire division employs more than 56,000 people worldwide and has 19 production and 16 development sites. Continental's digital capabilities are growing every day. Our global Cloud Services team is at the forefront of this transformation, establishing scalable, secure, and cost-effective cloud platforms that power our innovative solutions worldwide. We are seeking an experienced Cloud Data Engineer (FinOps) to develop, implement, and maintain our central financial operations solutions across our AWS and Azure landing zones. This is your opportunity to optimize cloud costs, create financial transparency, and build the governance foundation that empowers our application teams to make informed financial decisions about cloud resources. Join us to shape Continental's cloud financial strategy in an exciting, collaborative global environment. In this role, you will be responsible for the following tasks: Developing and implementing FinOps practices and tooling across AWS and Azure landing zones to optimize cloud spending Creating comprehensive cost visibility dashboards and reports using for stakeholder transparency Automating financial operations processes including budget alerts, anomaly detection, and chargeback mechanisms Analyzing cloud consumption patterns and recommending cost optimization strategies Imp
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