Daimler Truck

3 weeks ago

Platform Ops Engineer (H/F)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Platform Ops Engineer for the Digital Foundation Layer data platform, ensuring reliable, secure and user-friendly services for internal teams. You’ll manage data platform operations on Kubernetes, monitor performance, handle incidents, and drive automation and standardization across the platform.

Location: France

Workplace: Hybrid

Job Function: DevOps, Cloud & Infrastructure

Seniority: Entry level

Key Responsibilities

•Provide service ownership with a technical focus; manage DFL platform operations to ensure stability, performance and high availability of services on Kubernetes
•Operate and optimize services (Kafka, Apache Hop, Dremio, Iceberg, Application Hosting) on Kubernetes focusing on reliability
•Analyze and manage incidents, problems and changes; actively participate in incident resolution and root-cause analysis under ITIL framework
•Vendor management for run activities; monitor and coordinate with providers for platform operations
•Observability and performance optimization: develop and maintain monitoring, logging, alerts and dashboards; support capacity, throughput/latency analysis and resource planning

Travel: Low travel

Key Requirements

•Diploma in computer science, information management, data engineering or equivalent; recent graduates welcome
•Basic understanding of platform operations and distributed systems, with interest in reliability, automation and standards
•Hands-on experience with Kubernetes (deployments, services, resources, basic troubleshooting), Kafka or other event streaming, and data pipelines/ETL (Apache Hop or equivalent)
•Monitoring, logging and alerting using metrics, dashboards and alerting concepts; Linux/network basics; security fundamentals in operations (secrets, certificates, privileges)
•Strong teamwork and autonomous communication skills; ability to explain technical topics clearly in French and English; willingness to travel about 1 day per week to Gaggenau (Germany)

Experience:Enterprise ITData platforms

Skills:KubernetesKafkaApache HopDremioIcebergRBACSecretsITILMonitoringLoggingAlertingSecurityLinuxNetworking

Languages:FrenchEnglish

Tech Stack:KubernetesKafkaApache HopDremioIcebergRBACSecretsITILMonitoringLoggingAlertingLinuxNetworking

Company Brief

Daimler Truck

Designs, manufactures and sells commercial vehicles including trucks, buses and related services. Focuses on global transportation solutions, powertrains, electrification and digital services for freight and passenger mobility across multiple regions.

Industry: Automotive

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Leinfelden-Echterdingen, Germany

Founded: 2021

Website LinkedIn

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Daimler Truck

3 weeks ago

Platform Ops Engineer (H/F)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: France

Workplace: Hybrid

Job Function: DevOps, Cloud & Infrastructure

Seniority: Entry level

Key Responsibilities

•Provide service ownership with a technical focus; manage DFL platform operations to ensure stability, performance and high availability of services on Kubernetes
•Operate and optimize services (Kafka, Apache Hop, Dremio, Iceberg, Application Hosting) on Kubernetes focusing on reliability
•Analyze and manage incidents, problems and changes; actively participate in incident resolution and root-cause analysis under ITIL framework
•Vendor management for run activities; monitor and coordinate with providers for platform operations
•Observability and performance optimization: develop and maintain monitoring, logging, alerts and dashboards; support capacity, throughput/latency analysis and resource planning

Travel: Low travel

Key Requirements

•Diploma in computer science, information management, data engineering or equivalent; recent graduates welcome
•Basic understanding of platform operations and distributed systems, with interest in reliability, automation and standards
•Hands-on experience with Kubernetes (deployments, services, resources, basic troubleshooting), Kafka or other event streaming, and data pipelines/ETL (Apache Hop or equivalent)
•Monitoring, logging and alerting using metrics, dashboards and alerting concepts; Linux/network basics; security fundamentals in operations (secrets, certificates, privileges)
•Strong teamwork and autonomous communication skills; ability to explain technical topics clearly in French and English; willingness to travel about 1 day per week to Gaggenau (Germany)

Experience:Enterprise ITData platforms

Skills:KubernetesKafkaApache HopDremioIcebergRBACSecretsITILMonitoringLoggingAlertingSecurityLinuxNetworking

Languages:FrenchEnglish

Tech Stack:KubernetesKafkaApache HopDremioIcebergRBACSecretsITILMonitoringLoggingAlertingLinuxNetworking

Company Brief

Daimler Truck

Industry: Automotive

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Leinfelden-Echterdingen, Germany

Founded: 2021

Website LinkedIn