Site Reliability Engineer (Network)
On-siteToulouse, Occitanie, France
Job Summary
Design and implement Loft's network architecture for cloud, VPN, and routing across offices and ground stations while tightening security posture through segmentation and hardening. Manage network infrastructure as code using IaC provisioning, CI/CD, and GitOps workflows to automate deployment. Define Service Level Objectives for connectivity and ground-station availability, owning observability stacks to measure metrics, logs, and tracing. Investigate and resolve reliability issues via root-cause analysis and durable fixes, reducing operational toil through automation. Contribute to incident-response work and foster the SatDevOps culture powering the satellite fleet. Work closely with Space Infrastructure, Deployment, and regulatory teams to manage commissioned satellites and prepare for new commissioning cycles.
Required Qualifications
- 4–5 years in network engineering, with deep hands-on networking: routing, VPN/site-to-site, segmentation, DNS, firewalling
- Hands-on Software-Defined Networking: comfortable managing networks programmatically / as code rather than appliance-by-appliance (everything we run is IaC)
- Strong public-cloud networking experience, ideally GCP (VPCs, peering, hybrid connectivity)
- Comfortable operating on a Kuburnetes platform (k8s, Docker) and occasionally writing code
- Infrastructure-as-Code (Terraform or similar) and a CI/CD-driven, GitOps workflow
- An SRE mindset: SLOs, observability, and reducing toil through automation
- Ability to debug connectivity issues in a complex, hybrid network environment
- Degree in Computer Science or a related field, or equivalent practical experience
Desired Qualifications
- Network certifications (CCNP or similar)
- Hands-on experience with GitOps frameworks (ArgoCD, FluxCD)
- Interest or experience in FinOps and cost-optimized architectures
- Familiarity with security practices: vulnerability scanning, threat detection, risk mitigation
- Understanding of orchestration in resource-constrained environments, like space systems
- Grafana-centric stacks
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