QA Automation Engineer
Job Reference: 20-06564
Type: What you will do:
Help design, develop *** Mobiles next generation test engineering initiatives as well as help the development of broad testing framework / unit, functional, build validation and integration testing.
Identify key aspects from a test perspective and then answer questions like how, when and where these key aspects will be tested (automation, scripts, manual).
Continuously research industry best test technologies.
Be able to estimate testing effort, prioritize assignments as well as to plan implementations.
Help with manual testing as needed.
Design and implement test solutions.
Identify project risks, quantify risk/benefit relationships and provide alternative solutions as well as risk mitigation.
Offer deep defect root cause analysis and root cause solutions.
Communicate effectively with team members and across teams.
Develop industry and product technical expertise relevant to *** Mobiles business model.
Execute test deliverables following software engineering principles. Innovate.
Participate in knowledge sharing sessions, present test engineering solutions to others.
Design, divide and negotiate test development with team members from Quality and Development teams.
Contribute meaningfully to the success of the engineering team
Enjoy being part of a team of humble, collaborative high-achievers
What we are looking for in candidates:
Programming experience in any major OO language, deep understanding of design patterns, and experience working in a layered architecture.
Passion for testing plus 1+ year experience.
Genuine curiosity and a customer-first mentality.
Experience testing native mobile applications
At least 1 year hands-on testing experience on Android and/or iOS
Planning skills to design test plans and test cases for larger multi- component products across multiple resources and parallel development tracks.
Strong work ethic someone who takes great pride in professionalism, responsibility, and being proactive.
Self-starter / demonstrated ability to initiate and drive continuous improvement.
Strong debugging / problem resolution skills, and ability to multitask and handle multiple time critical issues / projects simultaneously.
Excellent written and verbal communication skills required.
Experience using automation tools like XCTest and Espresso is a plus.
Help design, develop *** Mobiles next generation test engineering initiatives as well as help the development of broad testing framework / unit, functional, build validation and integration testing.
Identify key aspects from a test perspective and then answer questions like how, when and where these key aspects will be tested (automation, scripts, manual).
Continuously research industry best test technologies.
Be able to estimate testing effort, prioritize assignments as well as to plan implementations.
Help with manual testing as needed.
Design and implement test solutions.
Identify project risks, quantify risk/benefit relationships and provide alternative solutions as well as risk mitigation.
Offer deep defect root cause analysis and root cause solutions.
Communicate effectively with team members and across teams.
Develop industry and product technical expertise relevant to *** Mobiles business model.
Execute test deliverables following software engineering principles. Innovate.
Participate in knowledge sharing sessions, present test engineering solutions to others.
Design, divide and negotiate test development with team members from Quality and Development teams.
Contribute meaningfully to the success of the engineering team
Enjoy being part of a team of humble, collaborative high-achievers
What we are looking for in candidates:
Programming experience in any major OO language, deep understanding of design patterns, and experience working in a layered architecture.
Passion for testing plus 1+ year experience.
Genuine curiosity and a customer-first mentality.
Experience testing native mobile applications
At least 1 year hands-on testing experience on Android and/or iOS
Planning skills to design test plans and test cases for larger multi- component products across multiple resources and parallel development tracks.
Strong work ethic someone who takes great pride in professionalism, responsibility, and being proactive.
Self-starter / demonstrated ability to initiate and drive continuous improvement.
Strong debugging / problem resolution skills, and ability to multitask and handle multiple time critical issues / projects simultaneously.
Excellent written and verbal communication skills required.
Experience using automation tools like XCTest and Espresso is a plus.
Customer Service Representative
Job Reference: 20-06425
Type: Troubleshoot issues reported by global customers. Research, document, and log bugs into tracking system. Collects customer feedback, write and update FAQs and help articles.
Assist Charity Support and Business teams with various tasks, reports, and projects
Work closely with Project Managers, Developers, and Product Managers
Assist Charity Support and Business teams with various tasks, reports, and projects
Work closely with Project Managers, Developers, and Product Managers
Database Engineer
Job Reference: 20-05764
Type: Data Engineer - Experimentation
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If youre interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join *** a company you can be proud to be a part of.
About Our Team
Experimentation is a key enabler for innovation at *** and play a critical role in improving buyer & seller experience. Our experimentation capabilities are world class and we continue to enhance it to stay ahead of e-commerce trends. *** products are increasingly powered by AI and personalizing our user experiences is key to our success.
The team is looking for a data engineer experienced in product analytics and experimentation to help improve the quality and analytic practices of *** experimentation. The successful candidate will have experience with data mining and analysis, A/B testing, deriving actionable insight, and working with product teams to drive successful product development and innovation. In addition, a successful candidate will have an opportunity to explore data science, statistical testing, machine learning and personalization.
Key Responsibilities:
Evaluate applicability of improved experimental design and measurement techniques to help guide teams throughout *** with appropriate approach for A/B testing their products
Create custom report and monitoring to provide trending and diagnose experimentation issues from multiple data sources
Analyze, extract key insights from experimentation stages, slice and dice to interpret results, and communicate findings to the team and stakeholders
Establish scalable, efficient, automated processes, and data pipelines for large scale data analyses for A/B testing, and related methodology implementation
Collaborate closely with data scientists and engineers in the larger team to build relational data structure, unify data pipelines, scale algorithms and launch high- availability experimentation services
Quickly build proof-of-concept portal for data scientists to showcase ideas
Additional Job Description:
The role is data-intensive and hence the successful candidates should be extremely comfortable working with large sets of data from multiple sources, and deliver business insights from the data using analytical techniques. The successful candidates should also be able to offer a strategic perspective, sound business judgment, and be able to work collaboratively / cross-functionally with multiple teams, located in different geographies. He/She will have a hands-on approach to data analysis, product requirement, strong intellectual curiosity, and a passion for achieving practical business impact.
Qualifications / Skill Set:
MS degree with minimum five years of industry experience, in Computer Science, Statistics, Mathematics, or equivalent,
Strong knowledge of data mining using SQL, Python, Hive/Spark, R, Java, Bash
Experience in online portal analytics is preferred
Knowledge of statistical techniques including regression, experimental design, hypothesis testing and the application of Client algorithms
Good communications skills, both verbal and written
Attention to detail and data accuracy
Experience presenting ideas and nurturing data driven decision-making with product leadership
About ***:
*** Inc. (NASDAQ: ***) is a global commerce leader including the Marketplace, StubHub and Classifieds platforms. Collectively, we connect millions of buyers and sellers around the world, empowering people and creating opportunity through Connected Commerce. Founded in 1995 in San Jose, Calif., *** is one of the worlds largest and most vibrant marketplaces for discovering great value and unique selection.
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If youre interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join *** a company you can be proud to be a part of.
About Our Team
Experimentation is a key enabler for innovation at *** and play a critical role in improving buyer & seller experience. Our experimentation capabilities are world class and we continue to enhance it to stay ahead of e-commerce trends. *** products are increasingly powered by AI and personalizing our user experiences is key to our success.
The team is looking for a data engineer experienced in product analytics and experimentation to help improve the quality and analytic practices of *** experimentation. The successful candidate will have experience with data mining and analysis, A/B testing, deriving actionable insight, and working with product teams to drive successful product development and innovation. In addition, a successful candidate will have an opportunity to explore data science, statistical testing, machine learning and personalization.
Key Responsibilities:
Evaluate applicability of improved experimental design and measurement techniques to help guide teams throughout *** with appropriate approach for A/B testing their products
Create custom report and monitoring to provide trending and diagnose experimentation issues from multiple data sources
Analyze, extract key insights from experimentation stages, slice and dice to interpret results, and communicate findings to the team and stakeholders
Establish scalable, efficient, automated processes, and data pipelines for large scale data analyses for A/B testing, and related methodology implementation
Collaborate closely with data scientists and engineers in the larger team to build relational data structure, unify data pipelines, scale algorithms and launch high- availability experimentation services
Quickly build proof-of-concept portal for data scientists to showcase ideas
Additional Job Description:
The role is data-intensive and hence the successful candidates should be extremely comfortable working with large sets of data from multiple sources, and deliver business insights from the data using analytical techniques. The successful candidates should also be able to offer a strategic perspective, sound business judgment, and be able to work collaboratively / cross-functionally with multiple teams, located in different geographies. He/She will have a hands-on approach to data analysis, product requirement, strong intellectual curiosity, and a passion for achieving practical business impact.
Qualifications / Skill Set:
MS degree with minimum five years of industry experience, in Computer Science, Statistics, Mathematics, or equivalent,
Strong knowledge of data mining using SQL, Python, Hive/Spark, R, Java, Bash
Experience in online portal analytics is preferred
Knowledge of statistical techniques including regression, experimental design, hypothesis testing and the application of Client algorithms
Good communications skills, both verbal and written
Attention to detail and data accuracy
Experience presenting ideas and nurturing data driven decision-making with product leadership
About ***:
*** Inc. (NASDAQ: ***) is a global commerce leader including the Marketplace, StubHub and Classifieds platforms. Collectively, we connect millions of buyers and sellers around the world, empowering people and creating opportunity through Connected Commerce. Founded in 1995 in San Jose, Calif., *** is one of the worlds largest and most vibrant marketplaces for discovering great value and unique selection.