Sr. Capacity Operations Manager (Remote)

Y Axis

Colorado Springs, CO(remote)

JOB DETAILS
SKILLS
Alliance/Partner Management, Amazon Web Services (AWS), Artificial Intelligence (AI), Business Analysis, Capacity Management, Capacity Requirements Planning (CRP), Capacity Strategy, Cloud Architecture, Cloud Computing, Communication Skills, Computer Science, Computer Skills, Data Management, Data Modeling, Finance, GCP (Good Clinical Practices), GPU (Graphics Processing Unit), Infrastructure as a Service (IaaS), Leading Edge Technology, Machine Learning, Machine Tool, Microsoft Windows Azure, Multiplatform/Cross-Platform, Operations Management, Performance Analysis, Performance Metrics, Platform as a Service (PaaS), Product Engineering, Software Engineering, Software as a Service (SaaS), Statistical Modeling, Technical Analysis, Work From Home
LOCATION
Colorado Springs, CO
POSTED
Today

Sr. Capacity Operations Manager (Remote)Jobgether (Remote) is seeking a Capacity Operations Manager to coordinate the development of High-Performance Computing (HPC) clusters, enhance GPU capacity management, and optimize resources across cloud platforms. This role will influence strategic capacity decisions while implementing innovative technologies to improve infrastructure and user experience.AccountabilitiesCoordinate the development of HPC clusters.Direct and improve GPU capacity and compute resources across cloud service platforms.Design and manage data models, reporting platforms, and performance measures.Assess technical and business requirements for GPU capacity.Identify performance bottlenecks in compute resource usage.Drive efficiency initiatives in partnership with engineering and finance teams.Develop and enhance tooling for cloud infrastructure and analytics.Collaborate with Finance, Product, and Infrastructure Engineering teams.ResponsibilitiesAs a capacity manager, you will coordinate the development of HPC clusters, enhance GPU management across cloud platforms, direct compute resource optimization, design data models, and automate efficiency initiatives.RequirementsBachelor's or Master's degree in Computer Science, Software Engineering, or related field.8+ years of experience in cloud computing and managing GPU capacity.Strong technical proficiency in cloud architecture and data management.Comprehensive knowledge of cloud service models (IaaS, PaaS, SaaS).Experience with cloud service providers such as AWS, Azure, GCP.Demonstrated experience using AI tools for data insights.Knowledge of statistical modeling and machine learning methodologies.Strong communication and relationship‑building skills.Self‑starter with a focus on continuous learning and adaptation.Ability to operate effectively in uncertain and rapidly changing environments.BenefitsCompetitive salary based on location and experience.Equity options available.Comprehensive health and wellness benefits.Opportunities for professional growth and development.Flexible working hours and remote work option.Dynamic and inclusive work environment.Access to cutting‑edge technology and resources.#J-18808-Ljbffr

About the Company

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Y Axis