Software Engineer

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