Platform Ops Engineer

Daimler Truck AG

Platform Ops Engineer at Mercedes-Benz managing data and integration services. Ensuring service reliability and optimizing performance for internal teams.

Posted 6/29/2026full-timeMolsheim • 🇫🇷 FranceMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in service ownership and technical operations, focusing on reliability, performance optimization, and automation within distributed systems. Proficient in managing incidents, vendor relationships, and supporting internal users while adhering to ITIL frameworks.

Highest-signal resume keywords

Kubernetes OperationsKafka Event StreamingData Pipeline DevelopmentMonitoring and LoggingProfessional Proficiency in French and English

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesKafkaApache HopETLMonitoringLoggingAlertingLinuxNetworking FundamentalsBasic Security in Operations

Soft Skills

Team PlayerAutonomyClear CommunicationRelationship Building

Tools & Technologies

DremioIcebergApplication Hosting

Industry Keywords

Service OwnershipIncident ManagementProblem ManagementChange ManagementITIL FrameworkObservabilityPerformance OptimizationAutomationRunbooksCapacity Analysis

Tech Stack

Tools & technologies

ApacheETLKafkaKubernetesLinux

About the role

Key responsibilities & impact

The role combines service ownership with a strong technical focus.
Run operations for DFL services: ensure the stability, performance and high availability of services (Kafka, Apache Hop, Dremio, Iceberg, Application Hosting) on Kubernetes, with a focus on reliability and optimization.
Incident, problem and change management: actively participate in incident resolution, root cause analysis and change management, ensuring structured communication and sustainable corrective actions, in accordance with the ITIL framework.
Vendor management for run operations.
Observability and performance optimization: develop and maintain monitoring, logging, alerts and dashboards. Support capacity analyses, throughput/latency investigations and resource planning.
Automation and standardization: create and improve runbooks, technical standards and reusable processes. Automate recurring tasks (templates, checks, onboarding) and contribute to platform conventions (RBAC, secrets, backup/restore).
Support and advise internal users of the platform: act as the point of contact for business and product teams; advise on use cases, optimize onboarding processes (access, documentation) and run workshops to promote effective and compliant platform usage.

Requirements

What you’ll need

Degree in Computer Science, Business IT, Data Engineering or equivalent qualification — recent graduates are welcome.
Basic understanding of platform operations and distributed systems, with an interest in reliability, automation and technical standards.
Practical experience in several of the following areas:
- Kubernetes (deployments, services, resources, basic troubleshooting)
- Kafka / event streaming (producer/consumer, partitions, consumer groups, basics of offsets/lag)
- Data pipelines / ETL (Apache Hop or equivalent)
- Monitoring/logging/alerting (fundamentals of metrics, dashboards, alerting concepts)
- Linux / networking fundamentals
- Basic security in operations (secrets, certificates, access rights)
Team player with autonomy and the ability to explain technical topics clearly.
Ability to build and maintain constructive working relationships with internal stakeholders and external vendors.
Professional working proficiency in French and English (reading, writing, speaking). German is a real advantage.

Benefits

Comp & perks

Travel required: one day per week to Gaggenau (Germany)