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# Senior Software Engineer - Platform and Reliability (EMEA)

- **Company:** Qdrant
- **Location:** Paris, France (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Databases, Continuous Integration, Distributed Systems, Python (Programming Language), Open Source Technology, Prometheus, Data Logging, Istio, Grafana, Kubernetes, Linkerd (Service Mesh), Microservices
- **Published:** July 25, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=4d02e4c631e999bb

## About the Role

* 5-7+ years of experience in platform engineering or SRE roles.
 * Strong proficiency in Go and Python, or deep expertise in one with willingness to work with both.
 * Deep experience developing Kubernetes operators.
 * Solid understanding of distributed systems and microservices architecture.
 * Hands-on experience with cloud providers (AWS, GCP, or Azure).
 * Experience with CI/CD, infrastructure-as-code, and automation best practices.
 * Comfort participating in on-call rotations and managing production incidents.
 * Proactive, ownership-driven mindset with strong communication skills., * Experience in a SaaS, database, or systems-level product company.
 * Experience with Prometheus, Grafana, and service meshes (e.g. Istio, Linkerd).
 * Familiarity with observability standards like OpenTelemetry.
 * Contributions to open-source projects.

## Description

We are open to hiring at Senior level, depending on experience, scope of impact, and technical leadership. Staff-level engineers are expected to operate with broader ownership, drive technical direction, and influence multiple areas of the platform.

What you will own

 * Design, implement, and operate our cloud-native platform architecture.
 * Build and maintain Kubernetes clusters and develop custom Kubernetes operators.
 * Write production-grade Go code for platform services and automation tooling.
 * Optimize cloud infrastructure (AWS/GCP/Azure) for performance, cost, and reliability.
 * Improve observability across the platform through monitoring, logging, and alerting.
 * Automate workflows and integrations across systems and tools.
 * Collaborate with engineering, operations, and data teams to understand and support their infrastructure needs.
 * Contribute to incident response, root cause analysis, and system hardening.
 * Continuously improve performance, developer experience, and reliability at scale.


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