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Lead Engineer – Platform Engineering

United States, St Petersburg, Florida · Job Posted March 10, 2026
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Job Description

We are looking for a Lead DevOps Engineer to join the Platform Engineering team who will design and automate core infrastructure with a focus on scalable, reliable VM environments. Although automation and platform reliability are the primary responsibilities, the position is expected to leverage and incorporate AI‑assisted tools for enhanced monitoring, stability, and operational efficiency. As a technical leader, this engineer will set best practices, guide team members, and drive continuous improvement across the platform.

Job Responsibility

  • Design, build, and maintain automation for VM provisioning, configuration, and lifecycle management
  • Enhance and support CI/CD pipelines for infrastructure and platform services
  • Provide technical leadership and mentorship to engineers across the platform engineering team
  • Use AI‑assisted tooling when beneficial for anomaly detection, event correlation, and operational insights
  • Work on standardized VM images, templates, and OS baselines to ensure consistency and security
  • Improve platform reliability through monitoring, alerting, and SRE‑aligned practices
  • Develop and maintain observability tooling, dashboards, and automated remediation workflows
  • Ensure security best practices across VM platforms, including RBAC, secrets management, and patching
  • Optimize VM capacity, performance, and resource utilization across environments
  • Collaborate with development, cloud, and security teams to deliver stable, self‑service platform capabilities
  • Produce clear technical documentation, design specifications, and platform standards

Requirements

  • Deep experience with virtualization platforms (e.g., VMware vSphere/ESXi, Hyper‑V, KVM/Nutanix)
  • Hands‑on experience with configuration management tools such as Ansible
  • Implement and support enterprise load balancer solutions (e.g., F5 BIG-IP, NGINX, Azure/AWS load balancers), including configuration, automation, and traffic‑routing policies
  • Familiarity with AI‑assisted operations tools (AIOps), or how they can fit into the workflow
  • Solid understanding of CI/CD systems (GitHub Actions, Azure DevOps, Jenkins, GitLab CI)
  • Advanced scripting skills in Python, PowerShell, and/or Bash
  • Experience with provisioned workflow development in Service Now
  • Strong knowledge of monitoring and logging platforms (Prometheus/Grafana, Splunk, Elastic, Datadog, etc.)
  • Understanding of security best practices, IAM/RBAC, secrets management, and compliance frameworks
  • Strong networking and systems fundamentals (TCP/IP, DNS, load balancing, storage)
  • Experience with reliability engineering concepts (SLOs, SLIs, incident response)
  • Ability to create self‑service platform patterns and reusable automation modules
  • Excellent communication skills with the ability to lead designs and mentor others
  • Bachelor’s: Computer and Information Science, Bachelor’s: Computer Engineering, High School (HS) (Required)
  • General Experience - 6 to 10 years

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