DevOps Engineer / Platform Engineer

Hybrid in Dallas, TX, US • Posted 1 day ago • Updated 15 hours ago
Contract Corp To Corp
Contract W2
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

🤯 Applying directly to the forehead...

Job Details

Skills

  • Artificial Intelligence
  • Data Warehouse
  • Debugging
  • DevOps
  • Docker
  • Linux
  • Nginx
  • Python
  • Workflow
  • Proxies
  • Continuous Delivery
  • Business Intelligence
  • Analytics
  • Podman
  • debug
  • Continuous Integration
  • Flask
  • GPU
  • Cloud Computing

Summary

Requires:

  • 11+ years of IT experience, with strong exposure to infrastructure, DevOps, or platform engineering.
  • Deep expertise in Linux fundamentals, including:
    • systemd (service lifecycle, logging)
    • file permissions and process control
    • network-level troubleshooting
  • Hands-on experience with container runtimes:
    • Docker and/or Podman
    • Experience with rootless container execution preferred
  • Working knowledge of Python (Flask ecosystem):
    • Ability to read, debug, and modify applications (not necessarily architect from scratch)
  • Strong experience with nginx configuration:
    • reverse proxy setup
    • routing under subpaths
    • header injection and debugging
  • Proven experience owning complex deployment pipelines (CI/CD, release workflows, environment promotion).
  • Strong written communication skills with the ability to create clear runbooks and technical documentation for non-engineers.

 

 Preferred / Nice-to-Have Skills

  • Hands-on experience with systemd user services (--user mode, non-root service management).
  • Familiarity with Cloud Data Warehouses (e.g., BigQuery or equivalent platforms).
  • Experience working with GPU infrastructure, including:
    • NVIDIA drivers
    • CUDA environments
    • container GPU passthrough
  • Deeper understanding of Python web internals:
    • Flask lifecycle
    • Gunicorn
    • WSGI architecture
  • Experience building or supporting internal developer platforms or self-service tooling.
  • Exposure to AI/LLM tooling, especially:
    • Claude or similar AI systems
    • configuration using markdown files, prompts, MCP tools
  • Background in Business Intelligence (BI) tools or analytics platforms.
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: infotx
  • Position Id: 8989836
  • Posted 1 day ago
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