Hi! Welcome to my recruiting blog. I recruit for eBay, Inc. See a job you like? You can apply directly at http://www.ebaycareers.com/Home.html or send resume to David Sneed: dasneed@ebay.com.
Friday, January 27, 2012
Thursday, January 26, 2012
Tuesday, January 24, 2012
Now Hiring! Unix Systems Engineer (ebay) - San Jose, CA
EBay - Unix Systems Engineer (ebay) jobs in Silicon Valley at eBay
Job ID: 56952BR
Unix Systems Engineer (eBay)
Job Location: San Jose, CA
Shift: Day
Shift Details: 12 Hour Day Shift
Primary Job Responsibilities
• Manage and monitor systems to drive troubleshooting and tuning
• First and second tier resolution of production issues and alerts
• Understand all components of the eBay site infrastructure in order to analyze impact of alarms and other system messages
• Work with external teams to diagnose complex problems and drive resolution
• Utilize industry standard and custom tools to diagnose and resolve production issues
• Resolve errors and alarms quickly and provide timely escalation
• Complete tasks required to maintain service levels and availability of all site features and functions
• Assist with Systems Engineering Tasks as needed
• Assist in creating automation and systems consistency to ensure efficient and reliable site operations
Job Requirements
• 7+ years of Unix Systems Engineering Experience.
• Ability to manage and troubleshoot large scale systems and high transaction web operations environments
• Ability to work on many tasks simultaneously in a high-pressure environment
• Willing to work in a shift model during the day, 12 hours a shift, multiple shifts in a row
• Experienced with large and distributed systems like cloud computing (hadoop,) web services, multi-tier serving architectures etc.
• Knowledge of common system administration tools, Networking (LAN and WAN,) Unix, Windows, Load balancers, DNS, TCP/IP and Storage technologies
• Working experience with scripting tools, Perl, PHP and or UNIX shell scripting
• Production experience with large scale system deployment and configuration tools
• Proven problem solving skills with an emphasis on quick problem resolution
• Excellent written and documentation skills
Education
Diploma or Equivalent
Please send resume to David Sneed: dasneed@ebay.com
Job ID: 56952BR
Unix Systems Engineer (eBay)
Job Location: San Jose, CA
Shift: Day
Shift Details: 12 Hour Day Shift
Primary Job Responsibilities
• Manage and monitor systems to drive troubleshooting and tuning
• First and second tier resolution of production issues and alerts
• Understand all components of the eBay site infrastructure in order to analyze impact of alarms and other system messages
• Work with external teams to diagnose complex problems and drive resolution
• Utilize industry standard and custom tools to diagnose and resolve production issues
• Resolve errors and alarms quickly and provide timely escalation
• Complete tasks required to maintain service levels and availability of all site features and functions
• Assist with Systems Engineering Tasks as needed
• Assist in creating automation and systems consistency to ensure efficient and reliable site operations
Job Requirements
• 7+ years of Unix Systems Engineering Experience.
• Ability to manage and troubleshoot large scale systems and high transaction web operations environments
• Ability to work on many tasks simultaneously in a high-pressure environment
• Willing to work in a shift model during the day, 12 hours a shift, multiple shifts in a row
• Experienced with large and distributed systems like cloud computing (hadoop,) web services, multi-tier serving architectures etc.
• Knowledge of common system administration tools, Networking (LAN and WAN,) Unix, Windows, Load balancers, DNS, TCP/IP and Storage technologies
• Working experience with scripting tools, Perl, PHP and or UNIX shell scripting
• Production experience with large scale system deployment and configuration tools
• Proven problem solving skills with an emphasis on quick problem resolution
• Excellent written and documentation skills
Education
Diploma or Equivalent
Please send resume to David Sneed: dasneed@ebay.com
Friday, January 20, 2012
Now Hiring! Data Platform System Engineer at eBay, Inc - San Jose, CA
Silicon Valley EBay jobs - Data Platform System Engineer (ebay) at eBay
Data Platform System Engineer (eBay)
Job Location: San Jose, CA
Shift: Day
Shift Details: 8-5
Primary Job Responsibilities
Provide expert level support of the systems and the data pipelines of the Data Platform Engineering infrastructure
Provide system hardware architecture and configuration recommendations, perform vendor evaluation and drive system provisioning automation
Provide engineering and design support for Data Platform Engineering build, configuration, monitoring and supportability
Work with Architecture and Development teams to test and benchmark new versions, patches and software components for functionality and reliability
Contribute to the selection, prototyping, implementation and support of tools such as capacity planning and system monitoring for large scale data environments
Review, develop, and implement strategies that preserve the integrity, availability, stability, and scalability of DPE systems and designs, consistent with cost (Capital and Labor) constraints
Engage with the architecture team to design system and architecture standards to support internal and external development groups
Work with internal and external technical leaders to develop innovative solutions that meet market needs with respect to functionality, performance, scalability, and reliability, realistic implementation schedules, and adherence to architectural goals and principles
Review existing software/hardware architecture and identify areas for improvement in the areas of scalability, maintainability, and performance
Ongoing corrective and preventative maintenance to improve reliability and availability
Preparation of proposals, reports, architectures, designs, specifications, and operational documentation
Perform training and be on-call to investigate system failures and assist in restoring functionality
Fosters relationships of trust, respect, judgments, and maturity with peers, customers, management
Job Requirements
Expert level experience with large scale analytical data environments build and support including thought leadership, design, configuration, installation, capacity planning, capacity management, and performance tuning and monitoring.
Expert level knowledge (hands-on) with the overall Unix eco-system (Solaris, Linux, etc.)
Expertise in UNIX architecture, systems administration and UNIX tools
Knowledge and experience with parallel ETL tools
Extensive experience in designing and implementing large scale analytics environments with particular attention to maintainability, scalability and high availability
Experience with versioning, change control, problem management
Solid experience with monitoring frameworks, and analyzing production platforms, UNIX servers and mission critical systems with alerting and self-healing systems
Expert level capacity planning and capacity management skills
Strong presentation and leadership skills
Solid understanding of how businesses operate and use this context to drive innovation and ethical decision-making
Proven results oriented engineer with a laser sharp delivery focus
Sought out as an expert in all aspects of technical field with a solid business context
Proven customer centricity who can foster effective partnerships with colleagues, customers, management
Master level problem solving, root cause analysis, and comprehensive and strategic resolution to complex engineering problems
Education
Bachelors Degree or Equivalent
Job ID: 60031BR
Please send resume to David Sneed: dasneed@ebay.com
Data Platform System Engineer (eBay)
Job Location: San Jose, CA
Shift: Day
Shift Details: 8-5
Primary Job Responsibilities
Provide expert level support of the systems and the data pipelines of the Data Platform Engineering infrastructure
Provide system hardware architecture and configuration recommendations, perform vendor evaluation and drive system provisioning automation
Provide engineering and design support for Data Platform Engineering build, configuration, monitoring and supportability
Work with Architecture and Development teams to test and benchmark new versions, patches and software components for functionality and reliability
Contribute to the selection, prototyping, implementation and support of tools such as capacity planning and system monitoring for large scale data environments
Review, develop, and implement strategies that preserve the integrity, availability, stability, and scalability of DPE systems and designs, consistent with cost (Capital and Labor) constraints
Engage with the architecture team to design system and architecture standards to support internal and external development groups
Work with internal and external technical leaders to develop innovative solutions that meet market needs with respect to functionality, performance, scalability, and reliability, realistic implementation schedules, and adherence to architectural goals and principles
Review existing software/hardware architecture and identify areas for improvement in the areas of scalability, maintainability, and performance
Ongoing corrective and preventative maintenance to improve reliability and availability
Preparation of proposals, reports, architectures, designs, specifications, and operational documentation
Perform training and be on-call to investigate system failures and assist in restoring functionality
Fosters relationships of trust, respect, judgments, and maturity with peers, customers, management
Job Requirements
Expert level experience with large scale analytical data environments build and support including thought leadership, design, configuration, installation, capacity planning, capacity management, and performance tuning and monitoring.
Expert level knowledge (hands-on) with the overall Unix eco-system (Solaris, Linux, etc.)
Expertise in UNIX architecture, systems administration and UNIX tools
Knowledge and experience with parallel ETL tools
Extensive experience in designing and implementing large scale analytics environments with particular attention to maintainability, scalability and high availability
Experience with versioning, change control, problem management
Solid experience with monitoring frameworks, and analyzing production platforms, UNIX servers and mission critical systems with alerting and self-healing systems
Expert level capacity planning and capacity management skills
Strong presentation and leadership skills
Solid understanding of how businesses operate and use this context to drive innovation and ethical decision-making
Proven results oriented engineer with a laser sharp delivery focus
Sought out as an expert in all aspects of technical field with a solid business context
Proven customer centricity who can foster effective partnerships with colleagues, customers, management
Master level problem solving, root cause analysis, and comprehensive and strategic resolution to complex engineering problems
Education
Bachelors Degree or Equivalent
Job ID: 60031BR
Please send resume to David Sneed: dasneed@ebay.com
Thursday, January 19, 2012
Wednesday, January 18, 2012
Friday, January 13, 2012
Thursday, January 12, 2012
Thursday, January 5, 2012
Now Hiring! Trust & Safety \ Fraud \ Risk - Member Of Technical Staff 1 (ebay) jobs in Silicon Valley at eBay, Inc
Trust & Safety \ Fraud \ Risk - Member Of Technical Staff 1 (ebay) jobs in Silicon Valley at eBay
Job ID: 56792BR
Member of Technical Staff 1 (eBay)
Job Location: San Jose, CA
Primary Job Responsibilities
Team
This position is part of the Trust Science – Applied research group. We are responsible for applying advanced technology research to solve Trust business problems. Trust applications proactively prevent fraud, catch fraud, enforce eBay policies, as well as collect & mine data that will help build future Trust and Safety strategies. We build real time machine learning applications processing 100s of millions of transactions a day, learning from terabytes of historical data.
Responsibilities
1. Design scalable and robust platforms and applications for eBay-scale data.
2. Seamlessly operate on and move data between Hadoop, relational databases, and NoSQL storage
3. Analyze various data sources statistically to discover Fraud patterns.
4. Design and conduct various Machine Learning experiments and implement the models to detect Fraud/Risk.
5. Evaluate the performance of the models, investigate false positive/false negatives and implement continuous improvements to the prediction models.
6. Build predictive models/features using one or more of advanced techniques like Text Mining, NLP, Graph Mining and Relevance Ranking.
7. To deliver on above stated responsibilities, you may also need to work on one or more of the following.
• Design and develop data preparation components and processes that extract and transform data across many DB tables and log files to prepare it for machine learning experiments.
• Build high performance and scalable data mining processes to sort, merge, join and aggregate large data files.
• Define complex SQL and other data extraction schemes to gather and filter needed data.
• Work with a large cross functional team consisting of scientists and engineers from eBay research and engineering teams, as well as analysts and business leaders from TnS and other business teams.
Job Requirements
1. A strong data analysis background with some exposure to statistical data analysis.
2. 2+ years of experience with large data set processing and data mining.
3. Strong programming skills (One or more of C/C++, java, perl, python, R with application to data mining)
4. Parallel and/or distributed experience (MPI or Map/Reduce frameworks)
5. 2+ years of hands-on SQL experience.
6. Good communication skills, ability to work with large cross functional teams.
7. Specialized Skills like Text Mining, NLP, Graph Mining, Relevance Ranking are a plus.
Education
Bachelors Degree Required
Please send resume to David Sneed: dasneed@ebay.com
Job ID: 56792BR
Member of Technical Staff 1 (eBay)
Job Location: San Jose, CA
Primary Job Responsibilities
Team
This position is part of the Trust Science – Applied research group. We are responsible for applying advanced technology research to solve Trust business problems. Trust applications proactively prevent fraud, catch fraud, enforce eBay policies, as well as collect & mine data that will help build future Trust and Safety strategies. We build real time machine learning applications processing 100s of millions of transactions a day, learning from terabytes of historical data.
Responsibilities
1. Design scalable and robust platforms and applications for eBay-scale data.
2. Seamlessly operate on and move data between Hadoop, relational databases, and NoSQL storage
3. Analyze various data sources statistically to discover Fraud patterns.
4. Design and conduct various Machine Learning experiments and implement the models to detect Fraud/Risk.
5. Evaluate the performance of the models, investigate false positive/false negatives and implement continuous improvements to the prediction models.
6. Build predictive models/features using one or more of advanced techniques like Text Mining, NLP, Graph Mining and Relevance Ranking.
7. To deliver on above stated responsibilities, you may also need to work on one or more of the following.
• Design and develop data preparation components and processes that extract and transform data across many DB tables and log files to prepare it for machine learning experiments.
• Build high performance and scalable data mining processes to sort, merge, join and aggregate large data files.
• Define complex SQL and other data extraction schemes to gather and filter needed data.
• Work with a large cross functional team consisting of scientists and engineers from eBay research and engineering teams, as well as analysts and business leaders from TnS and other business teams.
Job Requirements
1. A strong data analysis background with some exposure to statistical data analysis.
2. 2+ years of experience with large data set processing and data mining.
3. Strong programming skills (One or more of C/C++, java, perl, python, R with application to data mining)
4. Parallel and/or distributed experience (MPI or Map/Reduce frameworks)
5. 2+ years of hands-on SQL experience.
6. Good communication skills, ability to work with large cross functional teams.
7. Specialized Skills like Text Mining, NLP, Graph Mining, Relevance Ranking are a plus.
Education
Bachelors Degree Required
Please send resume to David Sneed: dasneed@ebay.com
Wednesday, January 4, 2012
Subscribe to:
Posts (Atom)
