Lead Cloud Platform Engineer

FortiveDenver, CO

About The Position

We are seeking a highly skilled and hands‑on Lead Cloud Platform Engineer to lead the implementation, operation, and continuous improvement of Intelex’s cloud platform. This role serves as the technical leader within Cloud Operations, responsible for translating architectural designs into scalable, secure, and reliable cloud solutions. The ideal candidate will partner closely with the Architecture team while owning the practical execution, operability, and optimization of the platform.

Requirements

  • 8+ years in CloudOps, DevOps, SRE, or Cloud Engineering roles supporting production SaaS environments
  • Deep hands-on expertise with AWS (primary) and Azure
  • Strong experience implementing networking (VPCs, routing, firewalls, VPNs), storage (EBS, S3, FSx, etc.), compute and container platforms (ECS, EKS)
  • Advanced Terraform expertise, including module design and governance
  • Strong CI/CD and automation experience (GitHub Actions, Jenkins, Octopus Deploy)
  • Proficiency in scripting (Python, Bash, PowerShell)
  • Experience with monitoring and observability tools (CloudWatch, New Relic, Azure Monitor)
  • Strong troubleshooting and analytical skills in complex production environments
  • Experience supporting enterprise databases (SQL Server, Oracle)
  • B.S. in Computer Science or equivalent experience

Nice To Haves

  • AWS Solutions Architect certification, preferably Professional

Responsibilities

  • Lead the implementation of cloud platform designs across infrastructure, networking, security, automation, and observability
  • Partner with the Architecture team to review proposed designs, provide implementation and operability feedback
  • Translate architectural direction into production‑ready solutions with focus on reliability & resilience, performance & scalability, and cost efficiency
  • Collaborate with CloudOps and Engineering teams on roadmap execution and platform improvements
  • Drive infrastructure as code and CI/CD automation through standardized Terraform modules, pipelines, and platform tooling to improve consistency, security, and operational efficiency.
  • Serve as the technical escalation point for complex cloud and platform issues
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