Staff Platform Engineer

Emploi pas sur LinkedIn

🕒 il y a 15 jours

🇺🇸 États-Unis – Télétravail

💵 $180 000 - $200 000 / an

⏰ Temps Plein

🔴 Expert

🏗️ Ingénieur Plateforme

👻 Score fantôme 1%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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PHIZENIX

Site WebLinkedInTous les Emplois

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 the platform runtime, including container orchestration, tenancy-grade isolation, and inherited module contracts • Design composable infrastructure as code at fleet scale and publish versioned templates and images • Automate environment creation and destruction through pull requests, with verification that nothing remains • Design federated, credential-free identity and network systems with audited privileged access and separate internal/external edges • Provide telemetry, alerting, service-level objectives, fault injection, and per-engagement cost attribution including AI spend • Build and operate shared delivery pipelines and pluggable quality, security, and AI-governance gates • Implement security and compliance as code, including scanning, policy controls, signed artifacts, attestations, audit trails, SBOMs, and SOC2/ISO 27001 evidence • Package and secure AI-assisted development environments with sandboxing, default-deny egress, short-lived credentials, and isolated runners • Measure platform outcomes, improve developer experience, and validate golden paths through hands-on use • Make architecture decisions through spikes and proofs of concept and produce security and reliability evidence • Review designs and pull requests, write architecture decision records, and provide technical leadership • Drive adoption of platform standards and support product-team migrations

🎯 Exigences

• 10+ years in software engineering, platform or infrastructure engineering, or a closely related technical field • 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 • Experience 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 • Built and operated production application software in at least one of Go, Python, or TypeScript; 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 • Experience with Agile methodologies and cross-functional product team collaboration

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