Senior Platform Engineer, Scality

• 5+ years of experience as Sysadmin / DevSecOps
• Strong ownership and autonomy
• Friendly, willing to collaborate with other team members
• Solution oriented, curious and open, willing to learn, problem-solving mindset
• Able to pursue any technical lead, and to ask when facing a difficult situation
• Care about both correctness and delivery
• French speaker, as the team is based in France
• Good level of English for day-to-day work to interact with other teams
• Expertise with Linux systems and sysadmin troubleshooting, particularly under RHEL/Rocky
• A strong experience in network (VLAN, VIP, DNS, Switch configuration L2/L3, Load Balancing)
• Good experience in security, compliance and hardening linux (SELinux, CIS, SBOM, supply-chain integrity)
• DevOps mindset, able to code, understand, and check how this code behaves on production
• Comfortable working across layers (Infrastructure -> Code -> CI)
• Experience in PXE, building iso, kickstart, building OVA
• Experience in salt or any other orchestration tool like Ansible
• Experience rolling out distroless or hardened images in a Kubernetes stack (control plane, operators, sidecars, CNI observability stack) and tuning workloads for minimal images (e.g. non-root, read-only filesystems)
• Python and Bash knowledge
• CI systems
• Advanced knowledge of a version control system (Git)

Desirable

• We are looking for engineers who can own, maintain and evolve the platform and tooling that power ARTESCA — Scality’s cyber-resilient S3 storage, allowing our customers to get immutable, zero-trust backup storage that scales from 20TB to petabytes
• You’ll be integrated in a team of ~7 people with varied backgrounds (production operations, pure development, security, product management…) ranging from 3 to 30+ years of experience, all willing and able to share their experience to contribute to your technical and human growth, and to benefit from your experience as well
• You will be taking part in MK8s open source project
• Inside the team, we have specific roles and plenty of growing paths for you:
• Individual contributor: everybody participates in the daily work of the team
• Feature lead: to accompany a feature from design to delivery
• Technical lead: to be the reference point for a specific perimeter in the product
• Architect: to lead feature designs and make sure we stay aligned with the technical strategy of the company
• Product owner: to decide priorities and build the roadmap
• Team leader: acting as a manager, to be responsible for the work environment in general, from approving holidays to sharing company strategy throughout solving day-to-day issues
• Build and maintain the platform behind ARTESCA: the Operating System and Kubernetes control plane, workers, add-ons, and solutions that underpin ARTESCA in its various deployment options (Software Appliance, Hardware Appliance, and ARTESCA+ Veeam all-in-one)
• Harden security and compliance: CIS benchmarks, SBOM, supply-chain tooling (e.g. Dependency-Track/Anchore), and secret management — directly supporting ARTESCA’s cyber resilience and Cyber Guarantee
• Contribute to installer and product workflows: multi-node/HA deployment, state management, pre-checks, and cloud/vendor integrations (e.g. AWS, VmWare) for guided deployment and validated backup vendor integrations (Veeam, Cohesity, Commvault, Rubrik, and others)
• Own upgrades and lifecycle: Kubernetes versions, Helm charts, operators, and base images so the product stays secure, simple to deploy, and ready for high availability and fast restores
• Write and maintain documentation (operations, install, solutions) and tests (integration, upgrade, stability) so ARTESCA stays intuitive, low-touch and recovery-ready at scale
• Improve CI/CD: GitHub Actions, devcontainers, diff-based or cost-aware CI, and release automation to release reliably
• We actively use AI tools (including Claude Code and similar) as part of our engineering workflow
• Use AI to explore codebases, generate implementations, and debug systems
• Validate and refine AI-generated code in production-grade environments
• Understand AI limitations and contribute to improve used in complex system engineering
• Understand when AI accelerates work vs when deeper reasoning is required
• Maintain strong ownership of correctness and system behavior
• The Technical Stack:
• K8S / Docker / Containerd knowledge / Helm, Operator SDK
• Go (Golang): Core language for high-performance components and Kubernetes Operators
• RPM packaging
• Salt
• Prometheus, Grafana, Keycloak, Thanos, Loki, Fluent-bit, Cert-manager, Calico, Multus, KubeVirt
• RHEL/Rocky
• Python / Bash
• PostgreSQL databases
• Git / GitHub / Github Actions as CI
• AWS/Scaleway/OVH for virtual labs