Pear VC
Infra / Platform Engineer - Known
About this role
As an Infra/Platform Engineer at Known, you'll lead the development of core infrastructure to support AI-driven features like voice matching and scheduling. This role offers the chance to directly influence the technical foundation and engineering culture in an early-stage environment focused on reliability and efficiency.
What you'll do
- Design and manage AWS cloud infrastructure using Terraform.
- Establish CI/CD pipelines for rapid iteration.
- Build scalable data ingestion and orchestration pipelines.
- Administer and optimize PostgreSQL databases.
- Deploy and monitor machine learning models.
- Implement observability for backend services and data jobs.
What they're looking for
- 4+ years in infrastructure, platform, or data engineering
- Proficiency in Python and TypeScript
- Experience with AWS and Infrastructure-as-Code
- Knowledge of Docker and Kubernetes
- Data pipeline design and operation
- PostgreSQL expertise
- Familiarity with ML/AI workflows
- Collaborative mindset and strong ownership
Benefits
- Shape the technical foundation of a unique AI product
- Influence product performance and scalability
- Work with a founding team in a dynamic environment
- Opportunities for significant personal and professional growth
- Contribute to a culture of innovation and excellence
- [Unknown]
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Pear VC
Pear VC invests in and supports AI-driven enterprise software companies building automation platforms, compliance systems, and specialized tools across industries like financial services, insurance, and software development. The portfolio companies are hiring founding and senior engineers to design core infrastructure, build AI systems, and develop scalable backend platforms alongside their leadership teams.
View all jobs at Pear VCLikely interview questions
- Walk us through how you'd design Known's cloud infrastructure on AWS from scratch—what services would you prioritize first, and how would you balance speed to production with scalability?
- Describe your experience setting up CI/CD pipelines and Infrastructure-as-Code. Which tools have you used, and what's your philosophy on catching issues early without slowing down iteration?