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