Platform Architect

🕒 il y a 2 jours

🤠 Texas – Distant

🤠 Texas – Remote

⏰ Temps Plein

🟠 Senior

🔴 Expert

🔙 Ingénieur Back-end

👻 Score fantôme 14%

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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Serverfarm

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 1999

🏢 Entreprise

📡 Télécommunications

☁️ SaaS

💰 Debt Financing en 2021-10

Enterprise • Telecommunications • SaaS

Serverfarm est un leader mondial dans le domaine de la gestion des centres de données en tant que service (DMaaS), offrant des solutions de colocation, de conception de centres de données et de gestion des infrastructures informatiques. Depuis plus de 25 ans, Serverfarm optimise les efficacités opérationnelles et gère les environnements informatiques critiques pour les plus grandes entreprises mondiales. Avec un portefeuille moderne et primé de centres de données, ils proposent des solutions flexibles et durables qui améliorent la performance et réduisent les émissions de carbone. L'équipe d'experts de Serverfarm et sa plateforme sophistiquée InCommand DMaaS offrent une gestion robuste des centres de données, aidant les entreprises à se concentrer sur l'innovation tout en optimisant leur infrastructure informatique.

Description

• Build the foundation of the new InCommand platform, including the control plane and tenancy, and own the first code merged • Design and own the unified data model and its evolution • Publish the data model with the public API as a specification for other teams • Define platform architecture covering data stores, identity, multi-tenancy, and API layer • Own retrieval and query performance at telemetry scale for live consoles, analytical workloads, and AI workloads • Define storage choices, query patterns, latency targets, and tenant isolation at the data layer • Choose the technology stack and platform standards • Recommend the initial cloud and portability approach • Design integration of large language models and other AI services for operational intelligence, recommendations, insights, and natural-language data access • Define the site-data ingress contract in partnership with Integrations • Provide technical direction to engineers joining the new platform • Set the engineering patterns used by the team • Partner closely with Product Management, Integrations, and Developer Platform • Develop an API-first cloud service deployable in customer environments using agent-assisted engineering under human review

🎯 Exigences

• 10+ years building back-end and platform systems • In the last three years, personally shipped a multi-tenant SaaS platform or control plane on Kubernetes, writing production code as the technical decision-maker • Designed the domain data model for a complex operational system, including assets, hierarchies, time series, and events • Owned data-model evolution across releases, including compatibility, versioning, and migration decisions • Delivered retrieval performance at telemetry scale • Experience with time-series and relational storage, including PostgreSQL with TimescaleDB or equivalent, and a columnar engine such as ClickHouse for analytical and AI workloads • Designed queries for live and analytical workloads over long histories and met API latency targets • Hands-on experience with GCP, AWS, or Azure, Kubernetes, and Helm • Judgment about when managed services are appropriate versus when portability matters • Built identity, tenancy, and security by design into enterprise SaaS • Designed and published an API or data-model specification used by other teams and ideally external organisations • Written architecture decisions that engineers worked from • Senior individual-contributor experience on foundational platform production code • Preferred: experience with agentic coding tools and reviewing agent-written code at volume • Preferred: knowledge of or experience with DCIM products • Preferred: Kafka-compatible streaming and MQTT brokers • Preferred: OpenTelemetry instrumentation • Preferred: integrating large language models into a platform • Preferred: running platforms across public clouds or shipping cloud and customer-hosted/air-gapped software

🏖️ Avantages

• Paid time off • Paid holidays • 401(k) • Full medical coverage • Full dental coverage • Full vision coverage • Bonus • Benefits package • Opportunities to develop cutting-edge skills • Career growth opportunities • Sustainable data center innovation work

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