overlay
Sr. Engineer: Distributed Systems
Engineering NYC
on site: New York City
added Sun Aug 06, 2023
link-outApply to Pinecone

About the Role:

This position involves building a robust, large-scale, real-time, low-latency distributed systems for ML infra, with a focus on autoscaling, load-balancing, reliability, scalability, high availability, and consistency. As a senior software engineer, you will be working on these projects:

  • Develop high availability architectures for the database
  • Enable Pinecone to seamlessly run on existing cloud providers
  • Own automated build, test and release infrastructure

You will work in a fast-paced and rewarding environment that demands the highest quality work with minimal supervision. Our current tech stack includes AWS/GCP, Kubernetes, Go, Kafka, RocksDB and Rust.

What we look for:

  • 4+ years of experience with Rust, Go or Python
  • 4+ 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.

Bonus Points:

  • Experience with Kubernetes Operator Framework
  • Experience with workflows / provisioning systems and control planes

Pinecone is a distributed team with clusters in New York, Tel Aviv, and San Francisco. You will be part of a world-class team from companies like Amazon, Google, Databricks, and Splunk. The company emerged from stealth in January 2021 with $10M in seed funding — led by the same legendary investor as Snowflake — followed by $28M Series A funding in announced in March 2022 and $100M Series B funding in April 2023.

Pinecone is pioneering search and database technology that's revolutionizing how developers build search systems. Our managed vector database provides customers with easy-to-use capabilities that until now have only been in the hands of a few tech giants. The demand for vector databases is growing incredibly fast, and it shows in our user base. We have a large audience of ML engineers, software engineers, data scientists, and technical architects who are eager to learn and build with our product.