Capacity Engineer

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

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Join a team of passionate thinkers innovators and dreamers and help us connect people and build communities to create economic opportunity for all.

Team Role:

We are seeking a motivated Capacity Engineer to join our central capacity engineering team for eBays Marketplaces Core Technology organization supporting our hybrid cloud infrastructure. As a Capacity Engineer you will be responsible for analyzing modeling and forecasting the infrastructure needs of our organization. Your expertise in capacity engineering and forecasting will play a crucial role in optimizing resource allocation and ensuring efficient utilization of our technology assets. Experience with public and private Kubernetes based clouds application performance principles and workload optimization will be highly helpful in this role. The successful candidate will possess excellent analytical abilities superb communication skills and a deep understanding of technology infrastructure.

Responsibilities:

• Collaborate with cloud platform teams across multiple geographies to analyse plan and execute on strategic initiatives. Analyse the capacity intake requirements for prioritization and scheduling. Seek out and lead execution of performance optimizations of our cloud related assets to ensure efficient use. Scope includes on-prem Kubernetes Azure and GCP based deployments

• Understand key performance metrics and scaling characteristics of cloud based infrastructure

• Design and build dashboards to support management workloads and infrastructure. Strong experience with grafana prometheus thanos and ELK stacks

• Analyze historical data trends and growth patterns to develop accurate capacity models such as compute network storage and platform optimization forecasts

• Collaborate with multi-functional teams to gather relevant information on business objectives technology requirements and upcoming projects

• Evaluate and refine existing capacity engineering processes and methodologies to improve accuracy and efficiency

• Monitor system performance metrics and utilization levels to identify potential bottlenecks or areas of underutilization. Take ownership and drive for the realization of gains from improving utilization

• Collaborate with technology partners to understand future technology trends and initiatives anticipate resource demands and develop proactive capacity plans

• Conduct what-if scenarios to assess the impact of different business scenarios and help guide decision-making processes

• Manage capacity for large federated Kubernetes environments on primarily private cloud but including some public cloud.

• Must be articulate and be able to communicate capacity insights recommendations and performance metrics to key partners. Advocate for initiatives that provide clear business value through data.

Qualifications:

• Bachelors degree in computer science information systems statistics or a related field and 2 years of experience

• 2 years of experience in capacity engineering resource allocation and forecasting in a technology-intensive environment

• Specialized experience in kubernetes especially as it relates to infrastructure and common use cases. Understanding of various vendor hardware product roadmaps

• Strong proficiency with grafana prometheus thanos elastic search and kibana (ELK)

• Proficiency in Kubernetes. Should understand how applications operate in a k8s environment and have experience running apps in k8s.

• Strong analytical skills with the ability to analyze complex data sets and identify relevant patterns and trends

• Familiarity with technology infrastructure components including Ubuntu linux servers databases networks storage systems and cloud platforms

• Knowledge of recommendation engines concepts and their application in infrastructure management

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