Infra / Platform Engineer - Known
Infra / Platform Engineer - Known
Pear
The Infra / Platform Engineer at Known will be responsible for designing and managing the core infrastructure and platform systems that support AI-driven functionalities. This role involves working closely with the founding team to establish a robust technical foundation, focusing on cloud infrastructure, data orchestration, and performance monitoring. Ideal candidates will thrive in early-stage environments and have a strong background in infrastructure and data engineering.
Qualification
- 4+ years of experience in infrastructure, platform, or data engineering (startup or high-growth environments preferred)
- 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 (ideally with pgvector or embeddings), data modeling, and schema design for real-time and analytical workloads
- Familiarity with ML/AI workflows (model training, inference, monitoring) and feature stores is a plus
- DevOps fundamentals: observability, cost optimization, and security
Responsibility
- Design and manage cloud infrastructure (AWS-first, with IaC via Terraform)
- Establish CI/CD pipelines and best practices for rapid, safe iteration (GitHub Actions, Docker, Kubernetes, etc.)
- Build and maintain scalable data ingestion and orchestration pipelines to support ML and product analytics
- Administer and optimize databases (PostgreSQL with pgvector) and analytical warehouse
- Collaborate with AI/ML engineers to deploy and monitor LLM and matching models for inference, evaluation, and retraining
- Implement observability (logging, metrics, traces, alerts) across backend services, data jobs, and model endpoints
- Drive reliability and scalability across web, mobile, and agentic systems
- Collaborate cross-functionally with product, design, and ML teams to ensure infrastructure aligns with user and business needs
