About the role
Axiom’s mission is to empower developers to get the best insights into their data, as fast as possible. We are a remote-first and globally distributed team building a cloud native, serverless data analytics platform. Axiom completely changes the way in which developers and organizations think about their data: they can now send unlimited data with cost-effective storage and lightning-fast querying. As a software engineer on the EventDB team, you will join a collaborative team of Go engineers. You will help maintain and improve the custom high-performance time-series database that Axiom has built from the ground up. You will be working on the cutting-edge of database design in a global fully-remote environment. What You Will do: Design and implement various components of our event database product, from ingestion to storage to querying Write high-quality Go code Collaborate in design discussions and provide thoughtful code review Maintain and improve the eventDB codebase health and system performance Work with cross-functional teams to roll out joint features Troubleshoot and resolve issues in production environments Coordinate and monitor production deployments Work on our custom compiler for APL, the Axiom Processing Language Occasionally work with customers to discover new
requirements or provide support Must-Have
Qualifications Creative problem-solver with a positive can-do attitude 2+ years experience with the Go programming language Excellent communication skills, strong collaborative mindset and team-oriented approach Proven ability to work independently and take ownership of projects Experience with code review processes and collaborative development Experience with distributed systems and low-level high-performance applications
Bonus
Qualifications Located in the European Union OR availability to overlap at least 4 hours with EU working hours (9:00-17:00 CET) Experience building and maintaining compilers/database systems Basic knowledge of Postgres, Kubernetes and common AWS services Knowledge of performance optimization techniques Familiarity with low-level protocol design Foundations in statistics and math