Managed Services Engineer
Dassault Systèmes · Royal Oak, MI · 2 days ago
Hybrid$114k–$135k/yrFull-time
About the role
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. The role focuses on reliable operation of cloud infrastructure, Kubernetes-based deployments, CI/CD pipelines, monitoring, incident handling, and managed service delivery, working closely with software developers, Unreal Engine developers, DevOps engineers, and customer-facing teams to ensure stable, secure, scalable, observable, and cost-efficient platform operations.
Responsibilities
- 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
Qualifications
- Strong AWS experience
- Practical experience with Kubernetes deployments on Amazon EKS
- Good understanding of GitLab-based development and deployment workflows
- Experience with Google Cloud Platform (GCP) is beneficial but not required
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