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Morgan Stanley

Director, QA Engineer

Morgan Stanley is hiring a Director, QA Engineer for a remote role open to applicants in United States. It pays $143k a year and Level rates it ; you can apply on Morgan Stanley.

Level's read on this job

  • Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Java, Python and TypeScript.
  • Level lists 1,200+ other open roles at Morgan Stanley.
  • The role was posted in the last few days.

AI in this role

Lead QA engineering initiatives, leveraging AI and GenAI to accelerate test design, automation, and debugging for distributed systems.

JavaPythonTypeScriptSeleniumPlaywrightJenkinsGitKibana
qa-engineeringtest-automationci-cdgenaidistributed-systems

Company Profile:

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries.

In Technology, 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.

What you’ll do in the role:

Morgan Stanley Services Group, Inc. is seeking a Director, QA Engineer in Alpharetta, Georgia to Analyze functional requirements and design test strategies and documents including the requirements traceability (RTM). Interact with Business to develop test plans and test scripts. Plan required test data and prioritize test scripts to ensure critical components of applications are being tested. Build scalable automation across UI, API, integration & event driven layers, review, refactor, and optimize scripts for stability, reusability, and maintainability. Embed automated quality gates into CI/CD pipelines perform log analysis and monitoring using tools such as Kibana. Engineer quality for distributed systems, microservices, and high availability platforms. Leverage AI / GenAI to accelerate test design, automation development, evaluation, and debugging. Practice Spec Driven Development (SDD) to align specifications, implementation, and validation. Release readiness validation from a QE perspective and provide certification of new functionality for deployment. Validate business process management (BPM) workflows to ensure process logic and integration points meet functional requirements. Own end to end production quality, including release certification & incident triage. Conduct root-cause analysis (RCA) for production defects, capture evidence, and implement preventive actions to improve quality in future releases. Telecommuting permitted up to 1 day per week.

What you’ll bring to the role:

-Requires a Bachelor’s in Engineering (any), Computer Science, or a related field of study.

-Requires five (5) years of experience in the position offered or five (5) years as an Associate, Programmer Analyst, or a closely related occupation.

Requires five (5) years of experience with the following skills:

  • Java, Python, and Typescript;
  • Selenium and Playwright;
  • CI/CD Pipelines;
  • TestNG, Cucumber, Jenkins, Git, and Bitbucket;
  • Control-M batch processing;
  • Unix;
  • MySQL;
  • Kibana;
  • Kafka;
  • API Soap UI and Postman;
  • Business Process Management (BPM);
  • Integration Testing;
  • Production Validation;
  • Production Issue Investigation;
  • Root Cause Analysis; and
  • Release Management

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Expected base pay rates for the role will be between $143,000.00 and $143,000.00 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

How we rate this

Director, QA Engineer at Morgan Stanley rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Qa EngineeringTest AutomationCI/CDGenAIDistributed SystemsJavaPythonTypeScript

Questions you could be asked

  1. Tell me about a project where qa engineering was part of your work. What did you do?
  2. Tell me about a project where test automation was part of your work. What did you do?
  3. Tell me about a project where ci/cd was part of your work. What did you do?
  4. Tell me about a project where genai was part of your work. What did you do?
  5. Tell me about a project where distributed systems was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Qa Engineering, Test Automation, CI/CD, GenAI, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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