Cloud Platform Engineer-Customer Delivery

Remote • Posted 4 hours ago • Updated 4 hours ago
Full Time
Remote
Fitment

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Job Details

Skills

  • Professional Services
  • VMware vSphere
  • Scratch
  • Git
  • Workflow
  • Distributed Computing
  • TLS
  • SaaS
  • Knowledge Transfer
  • Computer Networking
  • Dragon NaturallySpeaking
  • DNS
  • RBAC
  • Storage
  • Amazon Web Services
  • Google Cloud Platform
  • Google Cloud
  • Continuous Integration
  • Continuous Delivery
  • GitLab
  • GitHub
  • Microsoft Azure
  • Docker
  • OCI
  • Adobe AIR
  • Customer Facing
  • Mirroring
  • STIG
  • Hardening
  • Vulnerability Management
  • Regulatory Compliance
  • Information Technology
  • Cloud Computing
  • DevOps
  • Kubernetes
  • Managed Services
  • Customer Service
  • calibre
  • Documentation
  • Customer Engagement
  • Security Clearance

Summary

Job Description

CALIBRE Systems inc, an employee-owned mission focused solutions and digital transformation company, is looking to hire a Cloud Platform Engineers to deliver Kubernetes-based platform solutions across commercial and government environments.

This is a hands-on, customer-facing engineering role operating in a professional services model. You will architect, build, harden, and deploy production-ready Kubernetes platforms using Spectro Cloud across SaaS, on-prem, and fully air-gapped environments.

Engagements range from short accelerators to multi-month implementations. Once delivery and knowledge transfer are complete, you move to the next challenge. This is not a long-term operations role.

Openings include:
  • TS/SCI
  • TS
  • Commercial (no clearance required)

What You'll Do
  • Architect and deploy Kubernetes platforms using Spectro Cloud in:
    • VMware vSphere
    • Bare metal
    • AWS, Azure, Google Cloud Platform
    • Restricted / air-gapped networks
  • Build and configure clusters from scratch, including control plane, networking, storage, and ingress.
  • Integrate CI/CD pipelines and container supply chains (build, scan, push, deploy).
  • Containerize and modernize customer workloads using Helm, OCI registries, and Git-based workflows.
  • Troubleshoot real-world distributed system issues across:
    • CNI and DNS
    • Load balancers and ingress
    • TLS/certificates
    • Persistent storage and CSI drivers
  • Support both connected SaaS-style deployments and fully offline artifact mirroring environments.
  • Produce clear architecture diagrams, runbooks, and structured knowledge transfer for customer independence.

Required Skills

  • Control plane components
  • Networking (CNI, DNS, ingress, load balancers)
  • RBAC and security boundaries
  • Persistent storage (PV/PVC, CSI)
  • Experience with AWS, Azure, or Google Cloud Platform (EKS/AKS/GKE).
  • Experience implementing CI/CD pipelines (GitLab, GitHub Actions, Azure DevOps, etc.).
  • Hands-on experience with Docker/OCI images and private registries.
  • Experience working in restricted or air-gapped environments.
  • Strong troubleshooting skills and ability to operate independently in customer-facing scenarios.

Preferred
  • Experience with cluster lifecycle platforms (Spectro Cloud, Rancher, OpenShift, Tanzu).
  • Helm chart authoring and Kubernetes operator familiarity (CRDs/CRs).
  • Experience with artifact mirroring, offline deployments, and secure supply chains.
  • Exposure to STIG hardening, vulnerability management, and compliance-driven environments.
  • CKA, CKAD, or cloud provider certifications.

Required Experience

  • Minimum 10 years of information technology experience which includes cloud, DevOps, or platform engineering.
  • Proven experience building and troubleshooting Kubernetes clusters (not only consuming managed services).
  • Strong customer service skills
  • Ability to act independently in client environment as a representative of CALIBRE
  • Preferred experience in consulting or advisory roles.

What Success Looks Like
  • Secure, production-grade clusters delivered on time.
  • Customers fully enabled to operate and extend their platform.
  • Clear documentation and repeatable architecture patterns.
  • High technical credibility in front of senior customer engineers.
  • Travel may be required depending on customer engagement and clearance requirements.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX144a4c
  • Position Id: 6ea58ce3dd7b13f5a17e51dffcec6d74
  • Posted 4 hours ago
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