Staff Platform Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Develop and implement a DevOps strategy while overseeing infrastructure architecture across diverse multi-environment and multi-region cloud systems.

• Design and manage scalable Kubernetes platforms along with containerized infrastructure at scale.

• Take ownership of the infrastructure as code strategy and establish standards across various environments.

• Spearhead the implementation of DevSecOps, focusing on secrets management, compliance, auditing, IAM, and zero-trust networking.

• Enhance platform reliability, oversee performance SLAs, and optimize costs across production systems.

• Guide complex cloud migrations and drive platform modernization efforts.

• Direct the observability strategy and maintain production reliability practices.

• Oversee the design and operation of AI/ML platform infrastructure, including model serving and deployment, GPU workload orchestration, LLM gateway and observability, vector store infrastructure, and CI/CD for AI/ML systems.

• Utilize modern AI assistants like Claude and Cursor to enhance delivery quality and speed.

• Collaborate with engineering, product, and leadership teams to align platform strategy with business and delivery objectives.

• Articulate infrastructure decisions and trade-offs to both technical and non-technical stakeholders.

• Facilitate design reviews, architecture discussions, and release readiness evaluations.

• Set platform engineering standards and best practices.

• Mentor junior and mid-level engineers.

• Serve as a technical escalation point for intricate infrastructure and platform issues.

• Assess emerging tools and technologies to enhance platform reliability and improve the developer experience.

⛳️ Requirements

• A minimum of 7 years of professional experience in DevOps or platform engineering, with a focus on leading complex platform initiatives.

• Proficient scripting and programming abilities in languages such as Python, Go, Java, or Bash.

• In-depth expertise in at least one major cloud platform.

• Advanced skills in Kubernetes and container orchestration.

• Proficient in infrastructure-as-code techniques across various tools.

• Extensive CI/CD architecture experience at scale.

• Strong background in DevSecOps, covering secrets management, compliance, and auditing.

• Knowledge of networking, IAM, cloud security architecture, and zero-trust principles.

• Familiarity with service mesh, distributed systems, and microservices architecture.

• Significant experience in AI/ML platform infrastructure, including model serving and deployment, GPU workload orchestration, LLM gateways and observability, vector store infrastructure, and CI/CD for AI/ML systems.

• Proven leadership and technical mentoring capabilities.

• Excellent communication skills for engaging with stakeholders.

• Demonstrated daily utilization and expertise with AI-forward tools such as Claude and Cursor.

• Strong problem-solving abilities and sound judgment in navigating ambiguous technical and business challenges.

• Cloud certifications or FinOps experience is an advantage.

• Helpful: Experience with HPC cluster infrastructure across AWS, CoreWeave, GCP, and OCI.

• Helpful: Knowledge of HPC job schedulers and workload managers like Slurm or equivalent.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Opportunities for professional development and continuous learning.

• Collaborative and innovative work environment.