Asks for

The ad says“Basic understanding of AI including tokens, LLMs, Vector Database, Prefill-Decode process, Semantic caching, scalability and sizing needed to collaborate with the platform team for capacity planning”
The ad says“Strong engineering, scripting, and data analysis skills; self-sufficient data analyst and technologist. Cloud experience is a plus”
The ad says“Design and develop dashboards and observability solutions using Grafana, Prometheus, etc. to provide actionable insights”
The ad says“Basic understanding of the Hadoop Platform, Spark, MapReduce, HDFS, Data Compression techniques, bottlenecks and sizing concepts needed to collaborate with the platform team for capacity planning”
The ad says“Basic understanding of the Hadoop Platform, Spark, MapReduce, HDFS, Data Compression techniques, bottlenecks and sizing concepts needed to collaborate with the platform team for capacity planning”
The ad says“Support large-scale, federated Kubernetes environments to ensure high availability, scalability, and efficient resource utilization”
The ad says“Basic understanding of AI including tokens, LLMs, Vector Database, Prefill-Decode process, Semantic caching, scalability and sizing needed to collaborate with the platform team for capacity planning”
The ad says“Basic understanding of the Hadoop Platform, Spark, MapReduce, HDFS, Data Compression techniques, bottlenecks and sizing concepts needed to collaborate with the platform team for capacity planning”
The ad says“Design and develop dashboards and observability solutions using Grafana, Prometheus, etc. to provide actionable insights”
The ad says“Strong engineering, scripting, and data analysis skills; self-sufficient data analyst and technologist. Cloud experience is a plus”
The ad says“Basic understanding of the Hadoop Platform, Spark, MapReduce, HDFS, Data Compression techniques, bottlenecks and sizing concepts needed to collaborate with the platform team for capacity planning”
The ad says“Basic understanding of AI including tokens, LLMs, Vector Database, Prefill-Decode process, Semantic caching, scalability and sizing needed to collaborate with the platform team for capacity planning”

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

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

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

As a Capacity Planning Engineer at eBay, you will play a vital role in influencing the financial architecture of our ecommerce platform. This is an outstanding opportunity to lead the charge in optimizing our resource management and ensuring flawless operations across our engineering stack.

Responsibilities:

Partner with platform teams to plan and execute capacity strategy across hybrid environments (on-prem Kubernetes, Azure, GCP)
Basic understanding of AI including tokens, LLMs, Vector Database, Prefill-Decode process, Semantic caching, scalability and sizing needed to collaborate with the platform team for capacity planning
Basic understanding of the Hadoop Platform, Spark, MapReduce, HDFS, Data Compression techniques, bottlenecks and sizing concepts needed to collaborate with the platform team for capacity planning
Partner with Search Platform and Engineering teams to help with basic capacity planning exercise around sizing index and traffic growth
Analyze infrastructure demand, utilization, and performance to forecast capacity needs and optimize allocation across compute, storage, and network resources
Coordinate capacity intake and resource prioritization, balancing requirements across data centers, supply chain, and network infrastructure
Monitor system performance and utilization to identify bottlenecks and underutilized resources; drive optimization initiatives to improve efficiency and cost
Design and develop dashboards and observability solutions using Grafana, Prometheus, etc. to provide actionable insights
Provide regular reporting on capacity status, trends, forecasts, and optimization opportunities to enable data-driven decision-making
Perform and contribute to root cause analysis of capacity-related incidents; implement corrective actions to improve availability, reliability, and customer experience
Evaluate and improve capacity engineering processes, tools, and methodologies to increase accuracy, efficiency, and scalability
Collaborate with cross-functional teams (Engineering, Platforms, Product, Data Center) to align infrastructure capacity with business objectives and upcoming initiatives
Conduct “what-if” and scenario modeling to assess the impact of traffic growth, new features, and infrastructure changes
Support large-scale, federated Kubernetes environments to ensure high availability, scalability, and efficient resource utilization
Contribute to tooling and automation for capacity planning, performance analysis, and workload optimization
Ensure infrastructure meets performance targets, SLAs, and business continuity requirements while maintaining efficient utilization

Minimum Qualifications

Bachelor's Degree in a technical field.
2 years work experience as a software engineer, cloud engineer or capacity planning Engineer
Proven experience managing highly complex, technically challenging projects
Strong engineering, scripting, and data analysis skills; self-sufficient data analyst and technologist. Cloud experience is a plus

Preferred Qualifications

Masters in engineering and CS degrees preferred
2 years of pertinent work experience
Excellent oral/written communication, and analytical skills.
Outstanding organizational, prioritization, and multitasking skills.
Proven ability to work as a teamplayer, ability to work on tasks independently and deliver solutions in a highly complex, dynamic environment

Additional Details

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

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