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Managed Services Engineer

Dassault Systemes SE

  • Royal Oak, MI
  • 7 days ago

    Highlights

    We are seeking a Managed Services Engineer to operate, maintain, automate, and continuously improve cloud-based platforms that support enterprise-grade, real-time visualization applications built with Unreal Engine. Will work closely with software developers, Unreal Engine developers, DevOps engineers, and customer-facing teams to ensure stable, secure, scalable, observable, and cost-efficient platform operations.

    Numbers & Facts

    LocationRoyal Oak, MI
    IndustryComputer Software
    Year Founded1981
    Websitehttp://www.3ds.com/

    Description

    Role Descriptions & Responsibilities

    We are seeking a Managed Services Engineer to operate, maintain, automate, and continuously improve cloud-based platforms that support enterprise-grade, real-time visualization applications built with Unreal Engine. This role focuses on the reliable operation of cloud infrastructure, Kubernetes-based deployments, CI/CD pipelines, monitoring, incident handling, and managed service delivery. The ideal candidate has strong AWS experience, practical experience with Kubernetes deployments on Amazon EKS, and a good understanding of GitLab-based development and deployment workflows. Experience with Google Cloud Platform / GCP is beneficial, but not required. Will work closely with software developers, Unreal Engine developers, DevOps engineers, and customer-facing teams to ensure stable, secure, scalable, observable, and cost-efficient platform operations.

    Qualifications

    • Operate and maintain cloud-based infrastructure and managed services, primarily on AWS
    • Deploy, operate, and troubleshoot applications on Kubernetes, especially Amazon EKS
    • Support Kubernetes deployment workflows, including Helm charts, manifests, configuration management, scaling, and rollout strategies
    • Maintain and improve GitLab CI/CD pipelines for automated builds, testing, deployments, and release workflows
    • Operate and support monitoring, logging, and observability solutions, including Grafana, Loki, and Prometheus
    • Monitor platform health, performance, availability, reliability, and cost efficiency across cloud environments
    • Support backend services, APIs, session management, authentication, orchestration, and telemetry systems
    • Deploy and operate GPU/media-focused infrastructure for Unreal Engine visualization, AI inference workloads, and WebRTC-based low-latency streaming
    • Perform incident analysis, root-cause investigation, and operational troubleshooting
    • Collaborate with development teams to ensure smooth handover from development into production operations
    • Implement and maintain secure authentication, authorization, networking, IAM, certificates, and data protection standards
    • Manage object storage and shared file systems for media-heavy workflows, including images, video, AI content, and Unreal Engine assets
    • Contribute to automation, documentation, runbooks, deployment standards, and operational best practices
    • Support zero-downtime deployment strategies, rollback procedures, and release coordination
    • Participate in on-call or support processes where required

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