PhysicsX · 2 days ago

Senior Cloud Engineer

New York, United States

Full-time

Hybrid

Senior Level

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Artificial Intelligence (AI)Machine Learning

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Responsibilities

Build, maintain, and scale a self-service production Kubernetes cluster to run machine learning workloads in the cloud

Help develop and execute the cloud roadmap in-line with industry best practices

Work closely with internal users and customers to understand technical requirements

Apply and improve cloud engineering best practices and standards

Implement and maintain modern observability tooling to support workloads in various environments

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

KubernetesHelmTerraformAnsiblePackerAWSAzureGCPCloud ArchitectingCompute ClustersDockerPodmanCloud NetworkingIdentity Access ManagementObservabilityPrometheusGrafanaOpenSearchOpenTelemetryCloud SecurityHybrid deploymentsProgramming languagesGolangPythonBash

Required

Experience running a production Kubernetes cluster, preferably to support machine learning workloads

Experience using Helm, Terraform, Ansible and Packer as versioned infrastructure-as-code tools

Experience using public cloud platforms, such as AWS, Azure and GCP, from strategic architectural thinking to hands-on implementation

Experience architecting and building high-performance compute clusters in the cloud

Experience with containerisation through Docker or Podman

An understanding of cloud networking and identity and access management best practices

An understanding of observability, including metrics, traces and logs, and the use of open-source tooling such as Prometheus, Grafana, OpenSearch, and OpenTelemetry to support observability

An understanding of cloud security fundamentals, including secure-by-design cloud architectures, and secure multi-tenancy in the cloud