Storage and data management staffing with infrastructure expertise
CMK Resources staffs storage and data infrastructure roles—storage engineers, network engineers, Oracle/SQL specialists, system engineers—primarily for enterprise customers. The tech stack spans Pure Storage, VMware, Kubernetes, and Oracle, with active replacement of Cloudera, suggesting a shift away from legacy data platforms. Hiring velocity is accelerating (11 roles in 30 days, all seniority senior/mid) concentrated in engineering and ops, indicating scale-up in delivery capacity rather than vendor-neutral recruiting.
CMK Resources is a Detroit-based IT services firm founded in 2017 that evolved from IT staffing into services delivery for storage and data management. The company places and deploys IT professionals—primarily infrastructure and database engineers—into on-premises and hybrid environments, partnering with enterprise storage vendors and solution providers. Operations span the United States and Canada. CMK positions itself on personalized consultant matching and on-shore technical expertise, with a stated focus on understanding customer projects, technology fit, and consultant strengths before placement.
CMK's stack includes Pure Storage FlashArray, VMware, Fibre Channel, Portworx, Kubernetes, and Oracle. The company is transitioning away from Cloudera and actively deploying infrastructure for storage migrations and data center initiatives.
Active projects include storage infrastructure deployment, large-scale storage migrations, Cohesity Fort Knox optimization, and pricing strategy refinement. The company is addressing cyber resilience and ransomware protection across customer environments.
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CMK Resources, Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.