Managed Services Engineer
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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Compensation & Benefits
Compensation for the role will be commensurate with experience. The total expected compensation range will be between $114000 and $135000, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.
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