Senior Platform Engineer - ARTESCA

About Scality:

Scality solves organisations’ biggest data storage challenges: growth, security, performance, and cost. Designed for end-to-end cyber resilience, only Scality S3 object storage with CORE5 safeguards data at every level of the system, from API to architecture. Its patented MultiScale Architecture enables limitless, independent scalability in all critical dimensions to meet the unpredictable demands of modern workloads. The world’s most discerning companies depend on Scality to accelerate high-performance AI initiatives, optimize cloud deployments, and defend their data with confidence. Recognized as a leader by Gartner, Scality software is reliable, secure, and sustainable. Follow us onLinkedIn. Visit www.scality.com and ourblog.

The Job Context

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 1 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 (https://github.com/scality/metalk8s).

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.

The Technical Stack

• Kubernetes
• Custom K8S (Scality metalk8s)
• Containerd
• Helm
• Kubevirt
• Multus
• Calico
• Cert-Manager
• Gateway Api
• Languages: Golang / Python / Bash
• OS: Rocky Linux / RPM packaging
• Orchestration: Salt
• Observability: Prometheus,Grafana Thanos, Loki, Fluent-bit
• Virtualization: VMWare vSphere, Proxmox, Hyper-V
• SGBDR: PostgreSQL
• Git / GitHub / Github Actions as CI
• Cloud Providers: AWS/Scaleway/OVH for virtual labs

Main Mission: What you’ll do

• 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, Virtual Appliance, and ARTESCA+ Veeam all-in-one).
• Harden security and compliance: CIS benchmarks, SBOM, vulnerability management 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: Operating System and Kubernetes versions, Helm charts, operators, and base images so the product stays secure, simple to deploy, and ready for high availability and fast restores.
• Ensure ARTESCA stays intuitive, low-touch and recovery-ready at scale by :
• writing and maintaining documentation (operations, install, solutions)
• writing and maintaining tests (integration, upgrade, stability)
• Improve CI/CD: GitHub Actions, devcontainers, diff-based or cost-aware CI, automated testing to release reliably.

AI-Assisted Engineering

We actively use AI tools (including Claude Code and similar) as part of our engineering workflow.

You will:

• 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

We expect engineers to:

• understand when AI accelerates work vs when deeper reasoning is required
• maintain strong ownership of correctness and system behavior

The Desired Profile

In General

• 5+ years of experience as Sysadmin / SRE

Key Skills

Human

• 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

Languages

• French speaker, as the team is based in France
• Good level of English for day-to-day work to interact with other teams.

Technical

• Expertise with Linux systems and sysadmin troubleshooting, particularly under RHEL/Rocky.
• A strong knowledge in network (CNI, VLAN, VIP, DNS, Switch configuration L2/L3, Load Balancing)
• Good experience in security, compliance and hardening linux (SELinux Policies, CIS, Vulnerability Management)
• DevOps mindset, able to code, understand, and check how this code behaves on production
• Comfortable working across layers (Infrastructure -> Code -> CI)
• Experience in automated deployment (PXE, custom ISO, kickstart, virtual machine images)
• Experience in Salt or any other orchestration tool like Ansible
• Experience in an hardened K8S stack (rootless/distroless/policy engine)
• Python and Bash knowledge
• CI systems
• Advanced knowledge of a version control system (Git)

Bonus Skills

• Development experience (Golang)
• Installer/product experience (multi-cloud, PXE/kickstart, Packer, OVA/AMI/QCOW2) for air-gapped systems
• Documentation driven
• PKI/solutions (e.g. CRL, cert-manager)
• Ability to write custom SELinux policies
• Expertise with FIPs and LUKS Securisations
• RHEL expertise or certifications
• LAN Switching expertise (L2/L3, port aggregation, stack)
• Software development & release expertise
• Cloud engineering skills (e.g. AWS, Terraform, Pulumi)
• All other things listed in our technical stack (see below)
• Any other expertise ;)