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Open nowPosted 22 days ago

Capacity Planning Engineer

eBay255 open roles

Where
Dublin
Work mode
Hybrid
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Your applicationOpen nowCapacity Planning EngineereBay · Dublin

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. eBay postings stay open a median of 39 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 22 days ago

eBay median: 39 days open

The posting

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.

About the team and the role:

As a Capacity Planning Engineer at eBay, you will play a vital role in influencing the financial architecture of our ecommerce platform. You will partner with platform, engineering, search, product, data center, supply chain, and network teams to plan capacity across hybrid environments, including on-premises Kubernetes, Azure, and GCP. This is an outstanding opportunity to lead the charge in optimizing our resource management and ensuring flawless operations across our engineering stack.

The role focuses on forecasting infrastructure demand, improving resource efficiency, and ensuring compute, storage, and network capacity can support traffic growth, new capabilities, and business continuity requirements. You will also contribute to capacity tooling, observability, automation, and analysis across large-scale distributed environments. What you will accomplish:

  • Develop and execute capacity plans across on-premises Kubernetes, Azure, and GCP environments.
  • Partner with AI, Hadoop, Spark, MapReduce, HDFS, Search, and other platform teams to translate workload characteristics, traffic growth, indexing needs, and sizing requirements into capacity plans.
  • Analyze infrastructure demand, utilization, and performance to forecast capacity needs and optimize compute, storage, and network resource allocation.
  • Identify performance bottlenecks and underused resources, and drive improvements in efficiency, cost, availability, and reliability.
  • Build dashboards and observability solutions using tools such as Grafana and Prometheus, and provide reporting on capacity status, forecasts, trends, and optimization opportunities.
  • Conduct scenario and “what-if” modeling to assess the impact of traffic growth, new features, and infrastructure changes.
  • Contribute to capacity planning automation, performance analysis, workload optimization, root cause analysis, and improvements to capacity engineering processes and methodologies.

What you will bring:

  • Bachelor’s degree in a technical field; a master’s degree in engineering or computer science is preferred.
  • 2+ years of relevant experience in software engineering, cloud engineering, capacity planning engineering, or a related technical discipline.
  • Basic understanding of AI infrastructure concepts, including tokens, LLMs, vector databases, prefill-decode processes, semantic caching, scalability, and sizing.
  • Basic understanding of Hadoop, Spark, MapReduce, HDFS, data compression techniques, performance bottlenecks, and infrastructure sizing concepts.
  • Strong engineering, scripting, and data analysis skills, with cloud experience considered beneficial.
  • Experience working on complex technical projects and the ability to work independently while collaborating effectively across teams.
  • Strong written and verbal communication, analytical, organizational, prioritization, and multitasking skills.

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 [email protected]. 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.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.

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