Axiom is hiring a 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