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# Backend Software Engineer

- **Company:** Nebius B V
- **Location:** Amsterdam, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Databases, Programming Tools, Distributed Data Store, Operational Data Store, Open Source Technology, Prometheus, Software Engineering, Cloud Platform System, Grafana, Reliability of Systems, Backend, Kubernetes, Vertica, Golang
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/senior-backend-software-engineer-observability-nebius-8330384

## About the Role

* 5+ years of professional software engineering experience
 * Strong knowledge of Golang or willingness to quickly switch to it
 * Experience building distributed backend systems
 * Solid understanding of software reliability, scalability, and performance
 * Ability to troubleshoot complex production issues
 * Teamwork-oriented approach and strong communication skills, * Experience building or contributing to observability platforms, telemetry systems, or related open-source projects such as Prometheus, Grafana, Loki, Jaeger, OpenTelemetry, VictoriaMetrics, Mimir, Tempo, or similar technologies
 * Experience using ClickHouse in production, Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

## Description

We are looking for a Senior Backend Software Engineer to join our Observability Platform team in Amsterdam or remotely. Building a reliable and profitable cloud platform is impossible without world-class observability. It spans every layer of the stack - from developer tooling and CI/CD pipelines to Kubernetes, managed services, databases, networking, and customer workloads. Our mission is to provide a unified ecosystem for logs, metrics, traces, alerting, and troubleshooting that enables engineers to understand and operate systems at scale. You will build and scale the core services behind this platform, working on high-volume telemetry ingestion, distributed storage, query engines, alerting pipelines, and new ways to help engineers make sense of operational data, including AI-assisted troubleshooting.


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