Intermediate Backend Engineer Analytics Instrumentation

You will help design, build, and maintain a unified data infrastructure platform for analytics instrumentation. You will develop backend systems that provide visibility into customer usage across SaaS and self-managed environments, improve data quality and usage-billing accuracy, support production systems during working hours, and collaborate with stakeholders to deliver reliable, easy-to-use solutions.

Responsibilities

• Build and maintain a unified data collection platform using Golang, Kubernetes, ClickHouse, and NATS.
• Improve the emission, transit, and quality of instrumentation data.
• Support usage billing and instrumentation systems during working hours.
• Work with research and development teams and the enterprise data organization to deliver common solutions.
• Contribute to technical choices that balance ease of use, reliability, and correctness.

Requirements

• Experience working with platform or infrastructure systems in production environments.
• Proficiency in Go and experience building and maintaining production services.
• Backend development experience contributing to scalable, reliable systems.
• Familiarity with system reliability, performance at scale, data quality, and observability.
• Experience working in cross-functional teams with product teams, data consumers, and internal stakeholders.
• Familiarity with cloud-native technologies and open-source development practices.

Benefits

• Health, financial, and well-being benefits.
• Flexible paid time off.
• Team Member Resource Groups.
• Equity compensation and Employee Stock Purchase Plan.
• Parental leave.

• Experience working with platform or infrastructure systems in production environments.
• Proficiency in Go and experience building and maintaining production services.
• Backend development experience contributing to scalable, reliable systems.
• Familiarity with system reliability, performance at scale, data quality, and observability.
• Experience working in cross-functional teams with product teams, data consumers, and internal stakeholders.
• Familiarity with cloud-native technologies and open-source development practices.