Managed Services Engineer

PowerToFly; Royal Oak (MI); Hybrid; USD 95,000 - 130,000; Full time

Job summary

3DS seeks a Managed Services Engineer to operate, maintain, automate, and improve cloud-based platforms used for real-time Unreal Engine visualizations. You will ensure reliable cloud infrastructure, Kubernetes deployments on EKS, and robust CI/CD pipelines with monitoring and incident handling.

You will collaborate with software and DevOps teams to deliver secure, scalable, observable, and cost-efficient platform operations across AWS and related tools.

Qualifications

• Experience operating cloud-based infrastructure on AWS.
• Kubernetes deployment experience, especially on EKS.
• Maintaining and improving GitLab CI/CD pipelines for automated builds and deployments.
• Experience with monitoring/logging using Grafana, Loki, and Prometheus.

Responsibilities

• Operate and maintain cloud-based infrastructure and managed services on AWS.
• Deploy, operate, and troubleshoot applications on Kubernetes (EKS).
• Support Helm charts, manifests, and deployment configuration workflows.

Skills

AWS

Kubernetes

GitLab CI/CD

Grafana

Prometheus

Loki

EKS

Cost optimization

Tools

Helm

Manifests

Terraform

Job 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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