Why this role stands out
This hybrid role offers a fantastic opportunity to shape critical infrastructure by leveraging your analytical and forecasting skills, contributing directly to efficient resource allocation and cost-conscious decisions. You'll thrive here if you enjoy diving into data, collaborating with diverse engineering teams, and building robust capacity plans within a dynamic environment. Embrace this chance to enhance your technical expertise and make a tangible impact on a leading company's operations.
Quick overview
Job description
This opportunity blends infrastructure planning, data analysis, and cross-functional problem-solving. You'll help improve forecasting tools and processes, identify capacity risks, and support cost-conscious decisions across private cloud and network environments.
Required Skills & Experience
- Experience with infrastructure capacity planning, demand forecasting, utilization analysis, or a related area.
- Strong analytical skills and ability to interpret data, identify trends, and assess capacity risks.
- Advanced Excel skills, including pivot tables, large datasets, forecasting, reporting, or data visualization.
- Hands-on experience with SQL and Python for data analysis, automation, or modeling.
- Ability to communicate findings and collaborate with engineering, finance, and application teams.
- Familiarity with infrastructure lifecycle activities such as capacity modeling, budgeting, hardware refreshes, or decommissioning.
- Exposure to private cloud platforms, containers, virtual machines, storage, compute, or network infrastructure.
- Familiarity with Kubernetes, OpenStack, or similar technologies.
- Experience with data center capacity planning, including power, rack, and cooling requirements.
- Exposure to access network technologies, such as cable or fiber access platforms.
- Familiarity with AI tools or automation that support analysis and planning.
- Gather and prioritize infrastructure demand requirements with engineering and application teams.
- Build and maintain capacity forecasts, planning tools, models, and inventory.
- Analyze deployed compute, storage, and network utilization to identify growth needs and potential risks.
- Support infrastructure sizing, procurement planning, budgeting, and hardware lifecycle recommendations.
- Partner with engineering teams to validate designs, infrastructure requirements, and equipment lists.
- Document process improvements, communicate recommendations, and help resolve planning or delivery blockers.
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