Sr. Engineer: Distributed Systems

Key Skills

Apache Kafka, AWS, Azure, Cloud computing, Containerization, GoLang, Google Cloud Platform (GCP), Kubernetes-K8s, Python Programming, RocksDB, Rust

Job Description

About Pinecone

Pinecone is pioneering search and database technology to power AI/ML applications for the next decade and beyond. We provide customers with capabilities that until now have only been in the hands of a few tech giants. Our R&D team includes founders of multiple startups and world-class engineers including the core team that created Amazon SageMaker. We value integrity, passion, pushing boundaries, real-world problem solving, and a sense of humor. We work in collaboration, and encourage new ideas and initiatives.

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