Job Description

Manager_QA Automation_Technology



Job Number: 3235691
POSTING DATE: Apr 17, 2023
PRIMARY LOCATION: Non-Japan Asia-India-Karnataka-Bengaluru
EDUCATION LEVEL: Bachelor\'s Degree
JOB: Quality Management and Testing
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Associate


DESCRIPTION





Company Profile


Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm\'s employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.






Wealth Management Technology


Wealth Management Technology is responsible for the design, development, delivery, and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management Business. Practice areas include: Analytics, Intelligence, & Data Technology (AIDT), Client Platforms, Core Technology Services (CTS), Financial Advisor Platforms, Global Banking Technology (GBT), Investment Solutions Technology (IST), Institutional Wealth and Corporate Solutions Technology (IWCST), Technology Delivery Management (TDM), User Experience (UX), and the CAO team.







Job Profile


Work as part of a Digital Business Automation squad/Fleet, on QA processes with heavy focus on execution of automation with various automation tools and techniques.
Contribute to Automation Frameworks, and automate testcases ensuring comprehensive automation -coverage
Develop utilities and customized frameworks aligning with DevOps practices
Estimate, prioritize, plan and coordinate test and automation activities independently.
Review quality specifications and technical design documents to provide timely and meaningful feedback
Record and document debugging procedures.
Track test metrics, such as test coverage, defect densities, and open defect counts, to gain and share insights about quality issues.
Create detailed, comprehensive, and well-structured test plans and test cases following company standards within required timeframes
Perform thorough manual regression testing when technical issues are resolved and know how to automate those tests.
Actively contribute and participate in daily stand-ups, and Agile Sprint planning and grooming sessions.
Design tests based on Agile specifications for functionality and expected behavior
Stay up-to-date with new testing approaches, tools and test strategies.










QUALIFICATIONS





Primary Skills


5-7 years of proven work experience in QA with an emphasis on QA automation.
4+ years of demonstrable experience in automation technologies including Selenium, Protractor, UFT, Junit, Gherkin, JMeter etc. and scripting languages including java
Experience in BDD framework such a BDD cucumber.
Experience in services/API testing and automation.
In-depth knowledge of test management software (e.g. ALM, Jira).
Proficiency in usage of SQL queries for databases or large datasets.
Expertise in working with XML, XSLT and SOAP, and JSON formats.
Experience in Agile methodology and Devops with Integrating automated tests in Continuous Integration and Delivery pipeline
Strong analytical and problem-solving skills
Team player with good communication skills to work effectively in a global team.









Good To have Skills


Working knowledge of cloud-based application architecture and principles.
Prior experience working in the Financial Services Industry.






Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.