12 months ago
San Francisco, CA, USAMid Level
Responsibilities
- Design and manage AWS-first cloud infrastructure using Infrastructure-as-Code.
- Establish CI/CD pipelines and engineering practices using GitHub Actions, Docker, Kubernetes, and related tooling.
- Build and maintain scalable data ingestion and orchestration pipelines for ML and product analytics.
- Administer and optimize PostgreSQL and analytical warehouse databases, including pgvector-based embedding workloads.
- Collaborate with AI/ML engineers to deploy and monitor LLM and matching models for inference, evaluation, and retraining.
- Implement logging, metrics, traces, and alerts across backend services, data jobs, and model endpoints.
- Drive reliability and scalability across web, mobile, agentic, real-time voice, and batch systems.
- Build data lake and warehouse infrastructure, real-time ingestion integrations, voice agent infrastructure, CI/CD systems, observability tooling, and model deployment pipelines.
Requirements
- 4+ years of experience in infrastructure, platform, or data engineering, preferably in startup or high-growth environments.
- Strong proficiency in Python, TypeScript, Bash, and YAML scripting.
- Deep understanding of cloud architecture and Infrastructure-as-Code using AWS, GCP, Terraform, Pulumi, or CloudFormation.
- Experience with Docker, Kubernetes, or ECS for containerization and orchestration.
- Ability to design and operate data pipelines and distributed systems.
- Experience with PostgreSQL, data modeling, and schema design for real-time and analytical workloads; pgvector or embeddings experience is preferred.
- Familiarity with ML/AI workflows, including model training, inference, monitoring, and feature stores, is a plus.
- Knowledge of observability, cost optimization, and security fundamentals.
Tech Stack
Categories
Data EngineeringDevOps
About Pear VC
Pear VC is an early-stage venture capital partnership that invests at pre-seed and seed, pairing capital with hands-on support, mentorship, and programs like its PearX accelerator for founding teams. Founded in 2013 and headquartered in Menlo Park, California, it backs software and technology startups across categories. Its portfolio includes companies that reached the public markets, such as DoorDash and Guardant Health.