

Design and deliver distributed systems supporting ingestion, streaming, storage, and governance for eBay’s Data Platform.
Develop services and APIs that power scalable data management and access across multiple clouds.
Contribute to architecture design reviews, ensuring scalability, reliability, and cost efficiency.
Drive operational excellence through observability, automation, and continuous improvement.
Collaborate with analytics, infrastructure, and product teams to align technical delivery with business goals.
Learn and grow in advanced areas such as orchestration, governance, and privacy engineering.
5+ years of experience designing and developing distributed systems or data platforms.
Proficiency in Java or Python , with experience in containerized environments and CI/CD practices.
Hands-on experience with Kafka , Flink , Spark , Delta/Iceberg , and modern data stores (NoSQL or columnar).
Strong understanding of distributed systems fundamentals — performance, reliability, and fault tolerance.
Proven ability to independently deliver complex projects from design to production.
Bachelor’s or Master’s degree in Computer Science, or equivalent practical experience.
Shape the future of eBay’s Core Data Platform powering global analytics, AI, and ML workloads.
Tackle challenging distributed systems problems — scalability, freshness, and multi-cloud reliability.
Join a collaborative, inclusive culture that values curiosity, craftsmanship, and continuous learning.
משרות נוספות שיכולות לעניין אותך

As a on the Dublin team, you’ll play a key role in building, optimizing, and maintaining our Hadoop-based data warehouse and large-scale data pipelines. This is a hands-on engineering role where you’ll collaborate closely with data engineers, analysts, and platform teams to ensure our data platforms are scalable, reliable, and secure.
What you will accomplish
Design, develop, and maintain robust, scalable data pipelines using Hadoop and related ecosystems.
Implement and optimize ETL processes for both batch and streaming data needs across analytics platforms.
Collaborate cross-functionally with analytics, product, and engineering teams to align technical solutions with business priorities.
Ensure data security, reliability, and compliance across the entire infrastructure lifecycle.
Troubleshoot distributed systems and contribute to performance tuning, observability, and operational excellence.
Continuously learn and apply new open-source and cloud-native tools to improve data systems and processes.
What you will bring
6+ years of experience in data engineering, with a strong foundation in distributed data systems.
Proficiency with Apache Kafka, Flink, Hive, Iceberg, and Spark SQL in large-scale environments.
Working knowledge of Apache Airflow for orchestration and workflow management.
Strong programming skills in Python , Java (Spring Boot) , and SQL across various platforms (e.g., Oracle, SQL Server).
Experience with CI/CD, monitoring, and cloud-native tools (e.g., Jenkins, GitHub Actions, Docker, Kubernetes, Prometheus, Grafana).
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
The cool part
Work on one of eBay’s most impactful data infrastructure platforms, supporting global analytics and insights.
Join a collaborative, innovative engineering culture that embraces open-source and continuous learning.
Solve complex, high-scale data challenges that directly shape how eBay makes data-driven decisions.

What you will accomplish
Lead the architecture and technical direction for eBay’s next-generation Core Data Platform.
Design and develop distributed backend systems for data processing at massive scale.
Optimize real-time and batch data services for performance, availability, and cost efficiency.
Partner with cross-functional teams to deliver end-to-end data solutions that enable AI, search, and marketplace insights.
Champion engineering excellence through automation, observability, and reliable service design.
Mentor engineers and help foster an inclusive, collaborative, and high-performing team culture.
What you will bring
8+ years of experience in backend or distributed systems engineering, ideally within data platform or infrastructure domains.
Proficiency in Java, Scala, or Go , with strong foundations in algorithms, data structures, and system design.
Expertise in distributed data systems such as Kafka, Spark, Flink, or HDFS.
Experience designing and operating large-scale services on cloud platforms (AWS, GCP, Azure, or private cloud).
Understanding of data governance, cataloging, and orchestration frameworks .
Strong communication and collaboration skills, with the ability to influence technical strategy across diverse teams.
The cool part
Shape the future of eBay’s global Core Data Platform, enabling real-time AI and analytics innovation.
Solve complex data challenges at global scale with a team passionate about performance and resilience.
Work in a culture that values craftsmanship, diversity, and open-source collaboration.

As a Senior Data Development Infrastructure Developer, you will play a pivotal role in designing, developing, and operating high-performant distributed Data+AI job scheduling and execution engine based on Apache Airflow. You will be responsible for customizing, enhancing, and extending the capabilities of Apache Airflow to meet our specific needs in Ebay. You will work closely with the open-source community, potentially contributing to the Airflow codebase and influencing the direction of the project.
What you will accomplish:
A day in the life
A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience using Unix/Linux
- Experience in professional software development

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.This role is a night shift position, and will maintain a schedule of Monday through Friday, 8pm-5am. This role will also periodically have on-call manager responsibilities that will exist outside of standard working hours.Key job responsibilities
The successful candidate will be operationally responsible for a Data Center. Some high-level responsibilities include:
- Prioritize and assign trouble tickets to data center technicians and operators
- Recruit and train data technicians to ensure appropriate staffing levels
- Ensure effective and efficient management of day to day data center operations including queue management, 7/24 shift arrangement and hardware logistics
- Fast learn or act as the subject matter expert across all aspects in data center operations
- Ensure all operational KPIs and metrics are being measured and met- Manage Large Scale Events (outages) and act as the call leader
- Manage and improve the work-flows and through-put for data centers operations
- Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs
- Maintain the on-call schedule coordinating absence and vacations
*Diverse Experiences*
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.*Work/Life Balance*
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.*Inclusive Team Culture*
*Mentorship and Career Growth*
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- A Bachelor's degree or 4+ years of professional or military experience in an IT related field.
- 2+ years of experience managing people in a technical environment.
- 2+ years of experience with Networking, or Computer hardware.
- In-depth knowledge of Linux systems administration, Networking and knowledge of cabling best practices
- In-depth hardware architectures knowledge and troubleshooting experience
- Experience with system management tools and client/server environments
- Technical writing experience and prior project management experience


Design and deliver distributed systems supporting ingestion, streaming, storage, and governance for eBay’s Data Platform.
Develop services and APIs that power scalable data management and access across multiple clouds.
Contribute to architecture design reviews, ensuring scalability, reliability, and cost efficiency.
Drive operational excellence through observability, automation, and continuous improvement.
Collaborate with analytics, infrastructure, and product teams to align technical delivery with business goals.
Learn and grow in advanced areas such as orchestration, governance, and privacy engineering.
5+ years of experience designing and developing distributed systems or data platforms.
Proficiency in Java or Python , with experience in containerized environments and CI/CD practices.
Hands-on experience with Kafka , Flink , Spark , Delta/Iceberg , and modern data stores (NoSQL or columnar).
Strong understanding of distributed systems fundamentals — performance, reliability, and fault tolerance.
Proven ability to independently deliver complex projects from design to production.
Bachelor’s or Master’s degree in Computer Science, or equivalent practical experience.
Shape the future of eBay’s Core Data Platform powering global analytics, AI, and ML workloads.
Tackle challenging distributed systems problems — scalability, freshness, and multi-cloud reliability.
Join a collaborative, inclusive culture that values curiosity, craftsmanship, and continuous learning.
משרות נוספות שיכולות לעניין אותך