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Senior Software Engineer, Infrastructure and Tools

at Pinecone, NYC

Pinecone is on a mission to build the search and database technology to power AI applications for the next decade and beyond. Our fully managed vector database makes it easy to add vector search to AI applications. Since creating the “vector database” category, demand has grown incredibly fast and it shows in our user base. We are a distributed team with clusters in New York, San Francisco, Tel-Aviv, and Manchester.

If you’re excited about:

  • Working on cutting-edge tech

  • Leading and mentoring talent

  • Working with people who value clarity, creativity, passion, initiative, and thoughtfulness

Then this is your opportunity to join an early-stage, fast-growing, and well-funded startup to shape the course of an entire industry.

About the Role:

As a Staff Software Engineer, you will be working on these projects:

  • Build and extend the core infrastructure for the Pinecone Vector Database

  • Own areas like the distributed API gateway, the networking services, the blue/ green deployments for database upgrades, high availability architectures

  • Help define SLA (service level agreement) and SLO (service level objectives) for platform services and engineer telemetry to monitor against those objectives

  • Use and extend our observability to improve the platform 

  • Design multi-cloud abstractions that allow Pinecone to be available in different clouds and regions

  • Design and 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, Pulumi, Kubernetes, Go, Kafka, RocksDB and Rust

What we’re looking for:

  • Passion for building highly scalable and reliable infrastructure

  • 5+ years of experience with Rust, Go or Python

  • 5+ 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 IAC automation such as Terraform, Pulumi

  • Experience building monitoring and alerting for production systems

  • Experience with Kubernetes Operator Framework

  • Experience with workflows / provisioning systems and control planes

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