5 meilleures offres (devops engineer cloud) (à pourvoir)

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Drive Scalable Infrastructure for Robotics

Lead and develop Infrastructure, DevOps, and Tooling teams while fostering a strong engineering culture built on collaboration, ownership, and continuous improvement
Define and drive the infrastructure strategy and roadmap in alignment with product, robotics R&D, and business goals
Own the reliability, scalability, security, compliance, and cost optimization of infrastructure platforms and services
Establish and improve standards for CI/CD pipelines, observability, monitoring, automation, and developer experience
Contribute hands-on to infrastructure architecture, automation, and critical technical initiatives
Collaborate closely with software, robotics, AI/ML, and product teams to ensure stable and efficient development and production environments
Guide architectural decisions across cloud, hybrid, and on-premise infrastructure landscapes
Mentor engineers through technical coaching, regular feedback, design discussions, and code reviews
Support hiring and scaling of engineering teams together with the recruiting organization
Continuously improve infrastructure processes, tooling, operational readiness, and platform performance

Degree in Computer Science, Information Technology, Engineering, or equivalent practical experience
Strong background in Infrastructure, DevOps, Platform Engineering, or related technical domains
Several years of experience leading engineering teams and supporting the growth of technical talent
Hands-on expertise with Linux environments, Kubernetes (AKS), Azure, Terraform/OpenTofu, Docker, and GitOps practices
Experience designing and operating hybrid cloud and on-premise infrastructures for complex engineering or R&D environments
Strong understanding of system architecture, networking, storage, scalability, monitoring, and observability concepts
Experience with monitoring and observability tools such as Prometheus, Grafana, or InfluxDB
Proven ability to manage and operate business-critical production systems
Pragmatic and solution-oriented mindset with a strong focus on long-term platform stability and scalability
Excellent communication and stakeholder management skills in cross-functional environments
Experience with robotics, edge infrastructure, MLOps, or Nix is considered an advantage