We have built the fastest open source time series database from the ground up to offer breakthrough performance for real-time analytics. We are the fastest growing database within the fastest-developing database category.
Developers rely on QuestDB as the analytic backbone of real-time systems ranging from FinTech to machine learning, IoT, and application monitoring. Fortune 500 companies such as Airbus and Yahoo deploy QuestDB for large-scale, data-intensive production systems, some of which serve close to a billion users.
Our HackerNews launch was the third biggest for an open source company at Y Combinator, and our open source repository has gathered more than 5k stars to date. We are a product-first company with a community encompassing more than 10k developers. We are a remote-first company backed by leading venture capital firms and Y Combinator.
We are 100% remote, backed by leading venture capital firms and building the team.
Skills: Kubernetes, Python, React, Amazon Web Services (AWS)
As an Senior Backend Engineer, you will be a critical part of our growing company, contributing towards the launch of a greenfield cloud-hosted database as a service (DBaaS) solution. You will bring your expertise to build a Python-based backend for the QuestDB DBaaS offering in close collaboration with the cloud engineering team.
Candidates who have experience with the desired software stack would stand out:
QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports.
QuestDB implements ANSI SQL with native extensions for time-oriented language features. These extensions make it simple to correlate data from multiple sources using relational and time series joins. QuestDB achieves high performance from a column-oriented storage model, massively-parallelized vector execution, SIMD instructions, and various low-latency techniques. The entire codebase was built from the ground up in Java and C++, with no dependencies, and is 100% free from garbage collection.
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