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Reposted YesterdaySaved
Hybrid
2 Locations
Senior level
Senior level
Automotive
Develop and maintain Java-based, cloud-native applications using Spring and multithreading. Build scalable Azure PaaS solutions (Event Hubs, Service Bus, Cosmos DB, Storage, APIM, AKS), implement CI/CD pipelines with Git Actions, and deploy containers to AKS. Collaborate with stakeholders, align solutions to business needs, follow Agile Scrum, and support design for scalability, performance, and cybersecurity basics.
Top Skills: Application GatewayAzure ApimAzure Cosmos DbAzure Event HubsAzure Kubernetes ServiceAzure Service BusAzure StorageCi/CdDocker RegistryGit ActionsJavaJwt AuthenticationKubernetesMultithreadingNoSQLSpring FrameworkSQL
Reposted YesterdaySaved
Hybrid
2 Locations
Entry level
Entry level
Automotive
Generic internal job posting for Daimler Truck describing team mission, benefits (remote and flexible work, pension, health, learning), typical qualifications (degree, experience, language skills), and limited-term contract options. Encourages diverse applicants and provides contact info for HR and disability support.
Reposted YesterdaySaved
Hybrid
2 Locations
Senior level
Senior level
Automotive
Lead end-to-end functional safety software verification and integrated testing for propulsion systems (MCM, ACM, HTCU). Define and execute test strategies across MIL/SIL/UT, ensure ISO 26262 compliance, manage cross-functional stakeholders and global suppliers, and lead a team driving capability building, quality, and operational excellence.
Top Skills: EcuHardware-In-The-Loop (Hil)Iso 26262Mathworks ToolchainMatlabModel-In-The-Loop (Mil)On-Board Diagnostics (Obd)PcmsSimulinkSoftware-In-The-Loop (Sil)
Reposted YesterdaySaved
Hybrid
2 Locations
Senior level
Senior level
Automotive
Design and lead the data science architecture covering ingestion, storage, processing, ML model lifecycle, deployment, governance, security, and performance. Collaborate with cross-functional teams, evaluate technologies, mentor engineers and data scientists, and oversee implementation and monitoring of large-scale data science solutions.
Top Skills: AWSAzureHadoopKafkaPythonPyTorchRScikit-LearnSparkSQLTensorFlow
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