Pear-VC

Infra / Platform Engineer - Known

San Francisco. Posted 13 months ago

The role

You will own core infrastructure and platform systems to power AI-driven matching, voice, and scheduling experiences. You will design and scale cloud infrastructure, data orchestration, and model deployment systems while working with the founding team.

What you will do

  • Design and manage cloud infrastructure using AWS and Terraform.
  • Establish CI/CD pipelines using GitHub Actions, Docker, and Kubernetes.
  • Build and maintain scalable data ingestion and orchestration pipelines.
  • Administer and optimize PostgreSQL and analytical warehouse databases.
  • Collaborate with AI/ML engineers to deploy and monitor LLM and matching models.
  • Implement observability across backend services, data jobs, and model endpoints.
  • Drive reliability and scalability across web, mobile, and agentic systems.
  • Collaborate cross-functionally to align infrastructure with user and business needs.

Required qualifications

  • 4+ years of experience in infrastructure, platform, or data engineering
  • Strong proficiency in Python, TypeScript, and scripting (Bash/YAML)
  • Deep understanding of cloud architecture (AWS, GCP, or similar) and Infrastructure-as-Code (Terraform, Pulumi, or CloudFormation)
  • Solid experience with containerization and orchestration (Docker, Kubernetes, ECS)
  • Proven ability to design and operate data pipelines and distributed systems
  • Experience with PostgreSQL, data modeling, and schema design
  • DevOps fundamentals: observability, cost optimization, and security
  • Collaborative mindset, strong ownership, and bias toward shipping working systems fast

Nice to have

  • Startup or high-growth environments preferred
  • Familiarity with ML/AI workflows (model training, inference, monitoring) and feature stores is a plus
  • PostgreSQL ideally with pgvector or embeddings

About the company

Known is building an AI product that blends human connection and advanced AI.