Who we are:

Firebolt is a disruptor in the cloud data warehouse space. So far we’ve built the fastest cloud data warehouse in the market, by far, and have helped some of the most data-forward companies in the world with their data challenges. But this is just the beginning. We are a strong team of world-class data experts, led by the people who built Google Big Query, Looker and Sisense. Backed by $264M in funding - we are poised to build the data platform of the future, and set a new bar for what can be done with data.

About the Team:

Firebolt’s Metadata Team is responsible for components within the data warehouse that provide metadata information for firebolt control & dataplane. Aside from “user data”, Firebolt keeps meta-information to make user data accessible and useful. The challenge of the Metadata team is to hold this data and serve it with low latency in an ACID compliant way. We're solving challenges around high scalability, concurrency and performance, like implementing distributed transactions and snapshot isolation.

Roles and Responsibilities:

• Take part in the definition of Firebolt’s product design and architecture
• Design, build, and maintain Firebolt’s cutting-edge metadata solution
• Work closely with other Firebolt teams to provide a seamless data experience

Requirements:

• 3+ years as a backend engineer with at least 1.5 year using Go in production
• Production experience with Kubernetes, including using open source solutions from the eco-system
• Hands on experience in building and operating cloud native applications on AWS, GCP or Azure
• Strong Linux fundamentals and an understanding of networking, including a variety of network protocols, especially AWS networking
• Experience building and operating highly concurrent, highly available, and fault-tolerant distributed systems
• Expertise in Algorithms, Data Structures, Concurrency and Design Patterns

A bonus if you have:

• Familiarity with databases such as FoundationDB, Aerospike or any high-performance KV-store
• Familiarity with distributed computing, networking, lockless algorithms and data structures
• Experience with message brokers and data/ stream processing (Kafka, RabbitMQ)