Staff AI Platform Engineer

The role

A Staff Platform Engineer will define and lead platform engineering strategy across multi-environment cloud systems. You will own infrastructure architecture, drive DevSecOps practices, and lead AI/ML platform infrastructure design.

What you will do

• Define DevOps strategy and lead infrastructure architecture across multi-environment, multi-region cloud systems
• Architect and own scalable Kubernetes platforms and containerized infrastructure at scale
• Own infrastructure as code strategy and standards across environments
• Lead DevSecOps implementation including secrets management, compliance, auditing, IAM, and zero-trust networking
• Drive platform reliability, performance SLAs, and cost optimization across production systems
• Lead complex cloud migrations and platform modernization initiatives
• Own observability strategy and production reliability practices
• Lead the design and operation of AI/ML platform infrastructure
• Partner with engineering, product, and leadership to align platform strategy with business and delivery goals
• Mentor junior and mid-level engineers

Required qualifications

• 7+ years of professional DevOps or platform engineering experience
• Experience leading complex platform initiatives
• Strong experience with AI/ML platform infrastructure including model serving, GPU workload orchestration, LLM gateway, vector store infrastructure, and CI/CD for AI/ML systems
• Designing and provision HPC cluster infrastructure using CI/CD pipeline across AWS, CoreWeave, GCP, and OCI
• Experience with HPC job schedulers and workload managers such as Slurm or equivalent
• Expert scripting and programming skills (e.g., Python, Go, Java, Bash)
• Deep cloud expertise across at least one major platform
• Expert Kubernetes and container orchestration skills
• Expert IaC skills across multiple tools
• Strong CI/CD architecture experience at scale
• Strong DevSecOps experience including secrets management, compliance, and auditing
• Experience with networking, IAM, security architecture, and zero-trust principles in cloud environments

Nice to have

• Cloud certifications (e.g., AWS DevOps Engineer Professional, CKA, Azure DevOps Engineer)
• FinOps experience

Benefits

• paid time off
• medical/dental/vision insurance
• RRSP Plan

Before you apply

• An offer of employment may be conditional upon successful completion of a background check

About the company

Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. They design and ship AI co-workers that integrate into enterprise operations.