Senior AI Platform Engineer

Join Guidepoint as a Senior AI Platform Engineer in Toronto, focusing on robust Kubernetes infrastructure and developer-facing solutions. Drive automation and enhance platform reliability while collaborating with cross-functional teams.

In this hybrid role, you'll leverage your expertise in Python and various Dev Ops tools to architect scalable Internal Developer Platforms. You will play a crucial role in streamlining operational workflows, mentoring junior engineers, and ensuring service reliability through advanced observability techniques.

Key Responsibilities:

• Lead the design of Internal Developer Platform solutions

• Maintain and scale multi-region Azure/AKS environments

• Implement observability targets collaboratively with application teams

• Develop AI-driven automation tools in Python

• Mentor engineers and establish deployment best practices

Requirements:

• Bachelor’s/Master’s in computer science or related field

• 5+ years in Software Development with full SDLC knowledge

• 7+ years in Platform Engineering for large-scale environments

• Proficiency in Python or Go programming

• Experience with Kubernetes and Infrastructure as Code

Optimize your skills in infrastructure and automation at Guidepoint as a Senior AI Platform Engineer.
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