Lead QA Engineer
About The Position
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead QA Engineering position at Director level, which is part of the job family responsible for devising test strategies, conducting and/or coordinating tests, and identifying defects to maintain high standards of performance and reliability. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on. Within Middle Office QA, the Lead QA Engineer strengthens the quality guardrails and provide robust and reliable testing practice across Wealth Management client applications with a focus on automated testing in the demographic services and data area.
Requirements
- 10+ years of IT experience
- 5+ years of experience in Database testing, ETL testing, Services testing for complex web-based enterprise applications
- 5+ years of experience in test automation development using Selenium Webdriver, JavaScript, Cucumber
- Capable of operating in the role of an SDET as an independent subject matter expert within an agile team, proficient in scripting and script management.
- Should have deep hands-on experience on SQL, relational databases, writing stored procedures, triggers, views etc.
- Should have hands-on experience in CI/CD using TeamCity, GIT, Jenkins, JIRA
- Should have knowledge of Test Automation methodologies like BDD, Data Driven and Keyword Driven frameworks
- Knowledge on API test automation using Java or Groovy using any JMeter, SoapUI, Rest Assured etc.
- Experience in Agile based scrum teams and solving complex problems
- Experience in working in teams spread across geographies and closely tracking deliverables
- Excellent leadership, communication (written and oral) and interpersonal skills
Nice To Haves
- Good to have experience or knowledge on Python, Unsupervised Machine Learning (Clustering, Anomaly Detection), MLOps, model testing etc.
Responsibilities
- Lead multiple teams in one or more fleets.
- Collaborate with PO, SM, BA and development teams and provide quality deliverables
- Review requirement specifications, identify gaps, and determine testability and testing implications
- Improvise testing and test automation processes and help define best practices while providing reusable and scalable ideas or solutions
- Identify and create test scenarios, design and develop complex end-to-end test scripts
- Perform periodic review of testing artifacts - reports, docs, test scenarios, automation scripts
- Create frameworks and scripts for DB, Analytics and ETL testing
- Conducts POC on new tools/technologies, assessment on their fitment and provide recommendations.
- Work closely and communicate progress to the leadership on a regular basis
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
