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Senior Platform Engineer - ARTESCA

Scality -
Paris (75)

Soumettre votre candidature

Détails de l'emploi

Temps plein
Il y a 9 heures

Avantages

Stock options

Qualifications

Français
Go
Node.js
Salt
Kubernetes
Ansible
Equilibrage de charge
Git
Anglais
Bash
PKI
Docker
PostgreSQL
Système de contrôle de version
Terraform
SDK
DNS
Développement logiciel
GitHub
Securité
S3
VMware
Linux
SELinux
Python
Shell scripting

Description complète du poste

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 on LinkedIn. Visit www.scality.com and our blog.

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 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 (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

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

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, 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.

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 / DevSecOps

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 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)

Bonus Skills

Development experience (Golang)
Installer/product experience (multi-cloud, PXE/kickstart, OVA/AMI), documentation, and PKI/solutions (e.g. CRL, cert-manager) for air-gapped systems.
Python expertise
RHEL expertise
Software development & release expertise
Cloud engineering skills (e.g. AWS, Terraform, Pulumi)
All other things listed in our technical stack
Any other expertise

Life@scality:

We offer careers with an opportunity to bridge international borders, working alongside a highly skilled and international team across Europe and Asia.

Hybrid work model: minimum 2 days/week in our Paris office, remainder remote
Access to training and professional certification programs to support your career growth
Sports and wellness programs, social responsibility initiatives, and generous benefits packages
Stock options distribution

Our internal motto is : “work hard, play hard, eat well and amaze the customer!”

At Scality, we believe diversity drives innovation. We are proud to be an equal opportunity employer, welcoming applicants of all backgrounds, identities, and abilities.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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python platform engineer devops emplois - paris, a8

Senior Platform Engineer - ARTESCA

Stage de fin d'études - Consultant·e Data et AI Engineer (H/F)

Senior Consultant.e - Data & AI engineer (H/F)

Senior Consultant.e/Manager - Lead Data Engineering

Data Engineer GCP H/F

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The Job Context

Main Mission: What you’ll do

AI-Assisted Engineering

The Desired Profile

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