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Platform Engineer

Location: Remote
Compensation: To Be Discussed
Reviewed: Fri, Sep 18, 2026
This job expires in: 30 days

Job Summary

Seeking an experienced Platform Engineer to work remotely in a consultant role, responsible for designing, building, and operating secure, scalable cloud platforms that enable client teams to deploy AI applications efficiently and reliably.

Key Responsibilities
  • Deploy, operate, and secure AI infrastructure, including LLM serving and vector stores
  • Advise on AI deployment patterns and operational best practices while collaborating with cross-functional teams
  • Design and implement cloud architectures, build deployment pipelines, and ensure observability for incident response
Required Qualifications
  • 3-8 years of hands-on experience in platform, infrastructure, DevOps, or cloud engineering
  • Familiarity with LLM APIs, vector databases, and AI-assisted development tools (e.g., GitHub Copilot)
  • Strong proficiency in one cloud platform (AWS, Azure, or GCP) and infrastructure-as-code tools (Terraform, CloudFormation)
  • Experience with Kubernetes, Docker, and CI/CD pipeline design
  • Proficiency in scripting languages (Python, Bash, Go) and Linux/Unix administration fundamentals

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