

Platform Engineering: Design and implement highly available, scalable, and reliable solutions for our Batch and Event Subscription platforms.
Operational Excellence: Troubleshoot and resolve operational issues in our ESP environment and provide timely solutions for customer-reported notification issues.
System Maintenance: Perform regular system upgrades and vulnerability mitigations to keep our platforms secure and up-to-date.
Automation: Work on automating routine maintenance activities to improve efficiency and reduce manual effort.
Core Development: Apply your expertise in Core Java , Object-Oriented Programming , and Design Patterns to enhance our platforms.
Technical Stack: You'll be working with technologies such as Spring Boot , Spring Batch , and Apache Kafka . Knowledge of Apache Airflow is a plus.
Collaboration: You'll collaborate with cross-functional teams to understand their needs and provide technical solutions.
2-4 years of professional experience in software engineering.
Proficiency in Java , with a strong understanding of object-oriented principles and data structures.
Experience with Spring Boot and Spring Batch .
Deep understanding of Apache Kafka or other messaging technologies.
Knowledge of Apache Airflow is a plus
Familiarity with CI/CD tools such as Maven and Jenkins .
Knowledge of API design, RESTful principles , and deployment in Kubernetes/Istio
משרות נוספות שיכולות לעניין אותך

Platform Engineering: Design and implement highly available, scalable, and reliable solutions for our Batch and Event Subscription platforms.
Operational Excellence: Troubleshoot and resolve operational issues in our ESP environment and provide timely solutions for customer-reported notification issues.
System Maintenance: Perform regular system upgrades and vulnerability mitigations to keep our platforms secure and up-to-date.
Automation: Work on automating routine maintenance activities to improve efficiency and reduce manual effort.
Core Development: Apply your expertise in Core Java , Object-Oriented Programming , and Design Patterns to enhance our platforms.
Technical Stack: You'll be working with technologies such as Spring Boot , Spring Batch , and Apache Kafka . Knowledge of Apache Airflow is a plus.
Collaboration: You'll collaborate with cross-functional teams to understand their needs and provide technical solutions.
3+ years of professional experience in software engineering.
Proficiency in Java , with a strong understanding of object-oriented principles and data structures.
Experience with Spring Boot and Spring Batch .
Deep understanding of Apache Kafka or other messaging technologies.
Knowledge of Apache Airflow is a plus
Familiarity with CI/CD tools such as Maven and Jenkins .
Knowledge of API design, RESTful principles , and deployment in Kubernetes/Istio

Responsibilities:
Analyze eBay’s large and rich datasets, drive insights from data to diagnose the root cause behind trends and ultimately improve our user experience.
Build machine-learning models to predict user behaviors and infer marketing performance, support business decisions through trusted and well-defined model results.
Measure and optimize ongoing performance for marketing activities based on data-driven insights, understand key drivers and identify new marketing opportunities by focusing on bankable metrics. Deep-dive into campaign performance and provide insights into what is working and why
Mine data to optimize marketing campaigns, revenue growth, and customer experiences. Perform customer segmentation to understand target audiences better.
Develop strategies for channel optimization and content strategy.
Design, develop, and execute experimentation frameworks, including A/B testing and uplift modeling, to measure marketing effectiveness.
Develop and implement solutions for Marketing Mix Modeling (MMM) and Marketing Attribution (MTA).
Provide data support for business operation, design self-service tools, dashboards etc.
Communicate business performance in a clear and insightful way to the business.
Develop, improve and systemize crisp & accurate reporting. Streamline processes and identify/execute on automation and time-saving opportunities. Leads automation of recurring tasks.
Translates business problems into a scientific formulation for an AI/Analytics Product solution. Defines requirements and collaborates with engineers to build and productionize AI enabled Analytics Products
Job Skills required:
Intellectual curiosity, passion for problem-solving, and comfort with ambiguity.
A passion for understanding and serving the unique community of eBay.
Sound business judgment and quantitative analytic ability.
Strong communication skills and experience presenting complex quantitative analysis into action-oriented recommendations.
Understand a variety of machine-learning techniques (regression, clustering, decision tree learning, etc.) and their real-world advantages/drawbacks.
Effective team player and works well within a team and contributes effectively to the success of those interactions regularly.
Prior experience or deep knowledge of Performance Marketing and/or Brand Marketing will be highly preferred.
Desired Qualifications:
BA/BS in Mathematics, CS, Statistics, Economics, Business, or other related fields.
5+ years hands-on work experience in data analysis, with a focus on onsite web analytics, A/B testing, machine learning and report automation.
Skilled in database query tools utilizing SQL, and Hadoop experience is a plus.
Good Excel and PowerPoint skills, proficiency with statistical analysis tools such as Python or R.
Knowledge of AI tools and techniques, such as Gemini, GPT, LLMs etc.

Platform Engineering: Design and implement highly available, scalable, and reliable solutions for our Batch and Event Subscription platforms.
Operational Excellence: Troubleshoot and resolve operational issues in our ESP environment and provide timely solutions for customer-reported notification issues.
System Maintenance: Perform regular system upgrades and vulnerability mitigations to keep our platforms secure and up-to-date.
Automation: Work on automating routine maintenance activities to improve efficiency and reduce manual effort.
Core Development: Apply your expertise in Core Java , Object-Oriented Programming , and Design Patterns to enhance our platforms.
Technical Stack: You'll be working with technologies such as Spring Boot , Spring Batch , and Apache Kafka . Knowledge of Apache Airflow is a plus.
Collaboration: You'll collaborate with cross-functional teams to understand their needs and provide technical solutions.
2-4 years of professional experience in software engineering.
Proficiency in Java , with a strong understanding of object-oriented principles and data structures.
Experience with Spring Boot and Spring Batch .
Deep understanding of Apache Kafka or other messaging technologies.
Knowledge of Apache Airflow is a plus
Familiarity with CI/CD tools such as Maven and Jenkins .
Knowledge of API design, RESTful principles , and deployment in Kubernetes/Istio

Job Description
Responsibilities will include, but are not limited to the following:
Experience and qualifications required:

What you will accomplish:
Design and architect scalable, highly available, and fault-tolerant systems.
Own the development and optimization of our core applications using Python & Java, ensuring high-quality standards are maintained.
Work closely with cross-functional partners to understand requirements and translate them into effective technical solutions.
Ensure security best practices are coordinated into our development and deployment processes.
Stay current with new Python/Java/JavaScript development, and architectural standard methodologies.
Manage a team of technical professionals to align, commit & deliver common purpose of this team.
Lead by example, giving high-quality code reviews, and encouraging a culture of excellence and continuous improvement.
What you will bring:
Experience in building large scale Web Services and Backend Applications using Java/J2EE, RESTful Web Services, HTTP and JSON technologies.
A minimum of 12+ years of software development experience on large-scale, high-volume, technical systems in a microservice based architecture for cloud infrastructure.
Bachelor’s degree and 15+ years (or) a MS in Computer Science and 12+ years of software design and proven experience
A minimum of five years of management experience
Specializing in Payments and/or Financial Services to innovate and change the eBay Payments experience.
Proven success providing project management artifacts in an agile environment.
Excellent problem-solving abilities and strong oral and written communication skills with engineers and non-engineers alike
Strong ability to coach engineers & great at mentoring, helping them improve their skills and grow their careers (including managing remote engineers)
Strong sense of ownership, embrace differences and disagreement to get things done and move forward.
Knowledge of networking, security, and database design. Design & Implemented CI/CD pipelines.
Proficient in microservices, event driven architecture and container orchestration tools (e.g., Kubernetes, Docker).
Developed and drove adoption of technical patterns that significantly improved engineering practices across the organization.
Expertise in Python & Java, with a deep understanding of its ecosystems and frameworks.
Expertise with Node.js / JavaScript / Scala
1+ years of experience in applying AI to practical and comprehensive technology solutions [Nice to Have]

What you will accomplish:
What you will bring:

Platform Engineering: Design and implement highly available, scalable, and reliable solutions for our Batch and Event Subscription platforms.
Operational Excellence: Troubleshoot and resolve operational issues in our ESP environment and provide timely solutions for customer-reported notification issues.
System Maintenance: Perform regular system upgrades and vulnerability mitigations to keep our platforms secure and up-to-date.
Automation: Work on automating routine maintenance activities to improve efficiency and reduce manual effort.
Core Development: Apply your expertise in Core Java , Object-Oriented Programming , and Design Patterns to enhance our platforms.
Technical Stack: You'll be working with technologies such as Spring Boot , Spring Batch , and Apache Kafka . Knowledge of Apache Airflow is a plus.
Collaboration: You'll collaborate with cross-functional teams to understand their needs and provide technical solutions.
2-4 years of professional experience in software engineering.
Proficiency in Java , with a strong understanding of object-oriented principles and data structures.
Experience with Spring Boot and Spring Batch .
Deep understanding of Apache Kafka or other messaging technologies.
Knowledge of Apache Airflow is a plus
Familiarity with CI/CD tools such as Maven and Jenkins .
Knowledge of API design, RESTful principles , and deployment in Kubernetes/Istio
משרות נוספות שיכולות לעניין אותך