Job Description

This QA Engineering II position at Morgan Stanley involves devising test strategies, conducting tests, and identifying defects to ensure high performance and reliability. The role is part of the AI & Data Technology team, focusing on automation and efficiency in testing processes.

Requirements

1+ years' of experience as an automation or software engineer
Fluent in Python or Java with Python preferred
Experience with collaborating effectively across teams
Excellent communication (written and oral) and interpersonal skills
Understanding Agile methodology
Understanding AI/ML/GenAI/Data

Responsibilities

Ensures appropriate usage of tools and methodologies
Plans and executes across all testing phases (i.e. functional/feature aligned sprint testing, integration, regression, end-to-end and post-production testing)
Understands business domains and can connect the dots end-to-end
Develops test automation solutions for applications across different platforms
Participates in technical discussions with engineering teams to understand application architecture
Integrates test automation scripts with DevOps tools to achieve Continuous Integration, Testing and Delivery
Performs periodical review on squads' adherence to best practices
Problem solving to remove hurdles for QE members to perform effectively and efficiently
Manages defects and ensure timely closure

Benefits

Morgan Stanley offers extensive benefits that support employees’ careers, health, finances, and families, including top-tier medical coverage, mental health support, generous parental leave, fertility and family-building benefits, and robust retirement and stock purchase plans. Employees also gain access to continuous learning and networking opportunities, volunteer and giving programs aligned with the firm’s values, and hundreds of lifestyle perks like discounted products, cultural and entertainment tickets, and commuter savings.

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