Principal Platform Engineer

Emploi pas sur LinkedIn

🕒 il y a 16 jours

🇺🇸 États-Unis – Télétravail

💵 $180 000 - $200 000 / an

⏰ Temps Plein

🔴 Expert

🏗️ Ingénieur Plateforme

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de PHIZENIX, pas via un site d'emploi

Repérée par Remote Rocketship il y a 16 jours

Toujours ouverte sur le site de PHIZENIX. Vérifiée il y a 5 minutes.

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PHIZENIX

1 - 10 employés

Fondée en 2025

💼 Conseil

📣 Marketing

📦 Logistique

Consulting • Marketing • Logistics

PHIZENIX est une société spécialisée dans les solutions de recrutement de talents, qui connecte les entreprises avec des professionnels de la technologie hautement qualifiés. Elle propose des services de recherche de cadres, de placement permanent et de recrutement sous contrat, tout en aidant les entreprises à intégrer l'intelligence artificielle dans leurs opérations pour améliorer leurs performances. En mettant l'accent sur l'adéquation culturelle et le rapprochement précis, PHIZENIX vise à simplifier le processus d'embauche et à optimiser le déploiement des talents pour les entreprises cherchant à innover et croître dans le paysage numérique.

Description

• Build and operate fleet-scale infrastructure-as-code platforms. • Operate multi-tenant production Kubernetes platforms using GitOps, network and admission policies, workload identity, and tenant isolation. • Build CI/CD as a shared platform with reusable workflow contracts, branch protection, and quality and security gates. • Implement cloud identity and network security across Azure, AWS, GCP, or comparable hyperscalers. • Implement security and compliance as code, including scanning, policy engines, supply-chain controls, and SOC2 / ISO 27001 evidence. • Establish production observability with OpenTelemetry or equivalent, including SLOs, error budgets, alert routing, incident management, and fault injection. • Build and operate production application software in Go, Python, or TypeScript. • Apply testing strategy, code review, trunk-based delivery, and release management. • Translate complex technical topics for diverse audiences, including executive stakeholders. • Collaborate with cross-functional product teams using Agile methodologies.

🎯 Exigences

• 15+ years in software engineering, platform or infrastructure engineering, or a closely related technical field. • Deep, hands-on expertise in infrastructure as code at fleet scale (Terraform or OpenTofu with Terragrunt or equivalent): module architecture, remote state, multi-environment topology. • Demonstrated experience operating multi-tenant Kubernetes platforms in production: GitOps, network and admission policy, workload identity, tenant isolation. • Proven track record building CI/CD as a shared platform (GitHub Actions or equivalent), with reusable workflow contracts, fleet-scale branch protection, and enforced quality and security gates. • Strong hands-on command of cloud identity and network security on Azure/AWS/GCP or a comparable hyperscaler: workload identity federation, RBAC, private networking, WAF, DNS. • Substantive experience with security and compliance as code: scanning toolchains (Snyk, Checkov, Trivy), policy engines (OPA, Kyverno, Azure Policy), supply chain controls (signing, provenance, SBOM), and SOC2 / ISO 27001 control evidence. • Production observability with OpenTelemetry or equivalent: collector topology, SLOs and error budgets, alert routing, incident management, fault injection. • Has built and operated production application software as a software engineer, in at least one of Go, Python, or TypeScript, and is fluent in testing strategy, code review, trunk-based delivery, and release management. • Excellent written and verbal communication skills in English; ability to translate complex technical topics to diverse audiences, including executive stakeholders. • Experience with Agile methodologies and cross-functional product team collaboration. • Preferred / Additional Qualifications: experience building platforms for consulting, advisory, or professional services, including client-isolation and data-residency requirements. • Familiarity with virtual-cluster and control-plane tooling (vcluster, Crossplane) and developer portals (Backstage, Port). • Experience operating a platform used by AI coding assistants (Claude Code, GitHub Copilot or similar), including sandboxing of agent tooling. • Advanced certifications in cloud architecture, Kubernetes, or security (e.g., Azure Solutions Architect, CKA/CKS, CISSP). • FinOps experience: cost allocation, showback, and cloud cost optimization. • Demonstrated enthusiasm for developer education — writing internal guides, running workshops, or building internal tooling communities.

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