Join our Platform team as an AI Software/Platform Engineer to drive the modernization of our infrastructure and contribute to full stack development. This role requires strong AI orchestration tool experience, Golang development, and Python scripting skills. The ideal candidate will have experience with Kubernetes, AWS, and virtualization.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
6 month contract to hire, W2 only, unable to provide sponsorship
Fully Remote
AI Software/ Platform Engineer:
Must haves:
2+ years experience in full stack software engineering
Strong Golang development and python scripting skills
Knowledgeable around platform/ infrastructure/ network engineering
Strong AI orchestration tool experience- Need to be able to “Build Things” using these tools
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Experience leveraging AI development tools in production (Cursor, Claude, Copilot, etc.)
Kubernetes and AWS experience
Knowledge around virtualization, Linux/ command line scripting
CICD pipeline experience
Pluses:
Experience with Terraform or OpenTofu
Ansible
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Day to day:
An employer is seeking an AI Software / Platform Engineer to join our Platform team within the Product and Technology Group (PTX). This role will drive the modernization of our infrastructure by leading the migration of workloads from traditional Windows VMs to cloud-native Kubernetes clusters managed by Rancher, while contributing to full stack development when the team needs it—building or improving internal tools, APIs, and automation that make the platform workflows more effective.
Key responsibilities will include:
• Design, implement, and maintain GitOps-driven infrastructure using GitLab/GitHub, OpenTofu/Terraform, and Ansible.
• Own and evolve database DevOps practices—source control, migrations, and automated testing
• Contribute to full stack development as needed: build or improve internal tools, APIs, dashboards, or operator UIs that support the platform and our teams.
• Build and enhance centralized logging, monitoring, and observability capabilities across the platform.
• Rapidly diagnose and resolve environment issues in collaboration with the Platform & Networking team.
• Maintain up-to-date, high-quality documentation and infrastructure-as-code repositories.
• Continuously improve automation, security, reliability, and cost efficiency of the platform.
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