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Capacity/AI Full Stack Engineer

Salary

$95.2k - $168.7k

Min Experience

2 years

Location

Austin, Texas, Remote, Florida, Portland, Oregon, Remote, California (Non-Bay Area), Salt Lake City, Utah

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

We are seeking a motivated Capacity/AI Full Stack Engineer to join our central capacity engineering team for eBay's Marketplaces Core Technology organization supporting our core applications and AI 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 beneficial in this role. The successful candidate will have strong analytical skills, superb communication abilities, and a deep understanding of technology infrastructure. Responsibilities: Responsible for full stack development of capacity related tooling, including data management & architecture of a column oriented data warehouse cluster, data collection & ETL development, Python and Node.js REST/GraphQL API service layers, Web UI (Vue, React), Prometheus/Grafana. Build and maintain entire suite of capacity related tooling including real-time traffic and performance metrics dashboards (grafana) for compute and load balancers, disaster recovery predictive analysis of several thousand application pools, fleet level anomaly reporting of compute and/or traffic imbalance at the availability zone and region levels, as well as tooling to help discover waste such as abandoned compute pools, misallocation of compute, stranded capacity, etc. Collaborate with Core AI teams across multiple geographies to analyse, plan and execute on AI initiatives. Analyse the capacity requirements for AI project intake for prioritization and scheduling. Seek out and lead execution of performance optimizations of our AI related assets to ensure efficient use. Scope includes Azure, GCP, and on-prem Nvidia SuperPod clusters for LLM training and inference workloads. Must be familiar with a variety of AI related applications including OCR, CV, NLP, LLM and machine learning.

About the company

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.

Skills

python
node.js
vue.js
react
kubernetes
mysql
clickhouse
mariadb