Lead Cloud Infra Engineer: Multi-Cloud & FinOps

ComPsych Corporation

Northern (KY)

Hybrid

USD 180,000 - 220,000

Full time

8 days ago
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Benefits offered by this job

Paid Time Off
Medical Insurance
Dental Insurance
Vision Insurance
401(k) with match
EAP
Wellness program

Job summary

ComPsych Corporation seeks a hands-on Lead Cloud Engineer to migrate on‑premise systems to a modern multi‑cloud platform (AWS/Azure), ensuring security, reliability, and cost efficiency. You will own migration work across network, compute, storage, databases, and applications, and drive automation with IaC tooling and scripting.

Collaborating with Engineering, Product and Security, you’ll mentor engineers, define FinOps practices, and deliver globally scalable, observable workloads that meet

Qualifications

  • 8+ years in infrastructure and cloud engineering with lead-level scope.

Responsibilities

  • Migrate on-premise technologies to the cloud across full stack.
  • Implement multi-cloud solutions across AWS and Azure.
  • Establish FinOps, cost visibility, and guardrails.
  • Deliver globally, optimize workloads with observability.
  • Build Site Reliability Engineering discipline.
  • Automate with Infrastructure-as-Code and scripting.
  • Collaborate with Engineering, Product, and Security; mentor engineers.

Skills

Cloud migrations
Multi-cloud
FinOps
SRE
Global performance
Security & compliance
IaC
Automation
Vendor management
Mentoring

Education

Bachelor's in Computer Science or related field

Tools

Terraform
CloudFormation
Bicep
Python
PowerShell

Job description

ComPsych Corporation seeks a hands-on Lead Cloud Engineer to migrate on‑premise systems to a modern multi‑cloud platform (AWS/Azure), ensuring security, reliability, and cost efficiency. You will own migration work across network, compute, storage, databases, and applications, and drive automation with IaC tooling and scripting.

Collaborating with Engineering, Product and Security, you’ll mentor engineers, define FinOps practices, and deliver globally scalable, observable workloads that meet

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