Software Engineer Distributed Systems
Posted on 2/7/2024
Pinecone

51-200 employees

Managed vector database for AI search
Company Overview
Pinecone distinguishes itself in the AI industry by offering a fully managed vector database that is specifically optimized for high-performance AI applications, providing low-latency vector search capabilities essential for a range of applications including search, recommendation, and detection systems. The company's commitment to a developer-friendly experience is evident in its promise of creating an index within 30 seconds and its serverless infrastructure, which alleviates the need for clients to manage or scale the database, thus allowing them to focus on building and deploying AI models more efficiently. Pinecone's advanced filtering features and the ability to handle both small and large-scale vector data sets position it as a competitive choice for businesses seeking to leverage AI without the overhead of database management.
Data & Analytics
B2B

Company Stage

Series B

Total Funding

$138M

Founded

2019

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

43%

1 year growth

196%

2 year growth

371%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Rust
Microsoft Azure
Python
AWS
Google Cloud Platform
CategoriesNew
Software Engineering
Requirements
  • 2-3+ years of experience with Rust, Go or Python
  • 2-3+ years of developing, monitoring and operating large scale distributed systems
  • Expertise in container orchestration technologies like Kubernetes
  • Expertise working with one of AWS/GCP/Azure cloud platforms
  • BS in Computer Science, a related technical field or equivalent experience
Responsibilities
  • Building a robust, large-scale, real-time, low-latency distributed systems for ML infra
  • Developing high availability architectures for the database
  • Enabling Pinecone to seamlessly run on existing cloud providers
  • Owning automated build, test and release infrastructure
Desired Qualifications
  • Experience with Kubernetes Operator Framework
  • Experience with workflows / provisioning systems and control planes