Staff Platform Engineer
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Job Description
Staff Platform Engineer defining cloud and DevSecOps strategy for Robots & Pencils’ enterprise AI systems. Leading Kubernetes, AI/ML infrastructure, migrations, reliability, security, and platform standards remotely in Canada.
Responsibilities:
- 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 AI/ML platform infrastructure design and operation, including model serving and deployment, GPU workload orchestration, LLM gateway and observability, vector store infrastructure, and CI/CD for AI/ML systems
- Use modern AI assistants such as Claude and Cursor to improve delivery quality and pace
- Partner with engineering, product, and leadership to align platform strategy with business and delivery goals
- Communicate infrastructure decisions and tradeoffs to technical and non-technical stakeholders
- Lead design reviews, architecture discussions, and release readiness assessments
- Establish platform engineering standards and best practices
- Mentor junior and mid-level engineers
- Act as a technical escalation point for complex infrastructure and platform challenges
- Evaluate emerging tools and technologies to improve platform reliability and developer experience
Requirements:
- 7+ years of professional DevOps or platform engineering experience, including leading complex platform initiatives
- Expert scripting and programming skills, such as Python, Go, Java, or Bash
- Deep expertise in at least one major cloud platform
- Expert Kubernetes and container orchestration skills
- Expert infrastructure-as-code skills across multiple tools
- Strong CI/CD architecture experience at scale
- Strong DevSecOps experience, including secrets management, compliance, and auditing
- Experience with networking, IAM, cloud security architecture, and zero-trust principles
- Experience with service mesh, distributed systems, and microservices architecture
- Strong AI/ML platform infrastructure experience, including model serving and deployment, GPU workload orchestration, LLM gateways and observability, vector store infrastructure, and CI/CD for AI/ML systems
- Demonstrated leadership and technical mentoring experience
- Strong stakeholder communication skills
- Demonstrable day-to-day usage and expert knowledge of AI-forward tools such as Claude and Cursor
- Excellent problem-solving skills and sound judgment in ambiguous technical and business challenges
- Cloud certifications or FinOps experience is a plus
- Helpful: HPC cluster infrastructure across AWS, CoreWeave, GCP, and OCI
- Helpful: HPC job schedulers and workload managers such as Slurm or equivalent
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