Senior Infrastructure Capacity Engineer

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🏄 California, Massachusetts, +2 états de plus – Distant

🏄 California – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $161 600 - $242 400 / an

⏰ Temps Plein

🟠 Senior

👷🏻‍♀️ Ingénieur

🦅 Parrain de Visa H1B

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F5

Site WebLinkedInTous les Emplois

5001 - 10000 employés

🔒 Cybersecurity

☁️ SaaS

🏢 Entreprise

💰 Post-IPO Equity en 2020-11

Cybersecurity • SaaS • Enterprise

F5 est une entreprise technologique spécialisée dans les services et la sécurité des applications, permettant aux organisations d'optimiser, sécuriser et contrôler leurs applications numériques. Elle propose une gamme de solutions qui améliorent les performances, la disponibilité et la sécurité des applications dans tout environnement cloud.

Description

• Define and execute supply planning strategies • Drive capacity planning from end to end • Work closely with Product and Engineering • Engage with vendors and OEM partners • Collaborate with Procurement to build sourcing strategies • Engage Infrastructure Operations and Data Center teams • Build and continuously refine demand forecasting models • Define utilization thresholds and refresh cycles • Identify and implement tools, methodologies, and process improvements • Deliver data-driven capacity insights and concrete recommendations to senior leadership

🎯 Exigences

• 8+ years of experience in infrastructure capacity planning, infrastructure engineering, or a closely related discipline • Demonstrated expertise in compute capacity planning at scale • Hands-on experience building demand forecast models • Define utilization policies • Experience managing capacity roadmaps across large, multi-site production environments • Hyperscale or SaaS background • Understanding of compute and network hardware • Strong analytical and modeling skills • Proficiency in tools and methods for building, validating, and communicating capacity models • Operational credibility • Clear, executive-ready communication • Proficiency with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog) • Solid knowledge of system performance metrics (CPU, memory, disk, IOPS, network throughput) • Experience with capacity forecasting methodologies and workload modeling • Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience

🏖️ Avantages

• Incentive compensation • Bonus • Restricted stock units • Benefits