FULL TIME Role || Platform Engineer Applied AI

	Platform Engineer - Applied AI
Location	San Francisco, CA (Onsite - 5 days/week)
Duration	Fulltime
Note	Must have startup/data platform experience, Amazon Mechanical Turk or Meta GenAI background, Top 30 CS degree (CA/EUR), and strong Kubernetes, Node.js/Python, Kafka, Redis, Elasticsearch skills.

Qualifications

• 6-12 years building and maintaining platform infrastructure with full-stack capabilities
• Strong experience building production distributed systems or platform infrastructure
• Cloud: Hands-on experience designing and operating systems on AWS or Google Cloud Platform
• Experience from one of the following:
  • VC-backed startup
  • Founding Engineer at a startup that raised $2.5M+
  • Company specializing in data at scale (e.g., Snowflake, Databricks, Confluent)
  • Amazon Mechanical Turk (only this Amazon team accepted) or Meta GenAI
• Bachelor's degree in Computer Science from a Top 30 university
• Kubernetes expertise
• Strong proficiency in Node.js or Python
• Experience with Kafka, Redis, and Elasticsearch

Preferred / Strongly Desired

• Experience in high-growth startup environments
• Background in large-scale data infrastructure and distributed platforms
• Strong Individual Contributor (IC) who is still hands-on technically

NOT A FIT:

• Undergraduate degree outside Canada/Europe (unless from a Tier-1 research lab or companies like Micro1, SurgeAI, ScaleAI, etc.)
• Too senior and no longer an Individual Contributor (IC)
• Candidates whose experience is only Big Tech that doesn't specialize in data at scale
• Career FAANG engineers
• International students coming from Master's programs
• Job hoppers (multiple roles under 1 year within the last 3 years)
• Extensive contract-only experience