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.