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SDET QA Engineer - Hybrid

Job in New York, New York County, New York, 10261, USA
Listing for: Moody's Corporation
Full Time position
Listed on 2026-01-09
Job specializations:
  • Software Development
    DevOps, Software Testing, Software Engineer, Cloud Engineer - Software
Job Description & How to Apply Below
Location: New York

SDET QA Engineer - Hybrid

Moody's Corporation

Join to apply for the SDET QA Engineer – Hybrid role at Moody’s Corporation

At Moody’s, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it.

We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Employment eligibility to work in the U.S. is required, as Moody’s will not pursue visa sponsorship for this position.

Skills and Competencies
  • Technical Proficiency:
    Strong technical skills in relevant programming languages, frameworks, and testing tools including Cypress, Type Script, Postman, Jest, and Jira. Must effectively apply these skills to design, develop, test, and maintain automated testing solutions that ensure software quality and reliability.
  • Test Automation

    Experience:

    Demonstrated experience in writing and executing complex test cases and test scripts, with proficiency in end‑to‑end, API, and performance/load testing methodologies. Required to improve testing efficiency, consistency, and coverage across the software development lifecycle.
  • Problem‑Solving and Analytical

    Skills:

    Strong analytical abilities to break down complex software problems into manageable components and devise effective testing solutions through critical and strategic thinking. Essential for identifying root causes of defects and ensuring comprehensive test coverage.
  • Attention to Detail:
    Sharp observational skills and curiosity to thoroughly test features and identify potential bugs before release. Must understand feature implementation and maintain a meticulous testing approach to catch edge cases and ensure quality standards are met.
  • Collaboration and Communication:
    Ability to work effectively in cross‑functional teams and communicate clearly with stakeholders including developers, product managers, and other QA team members. Required for successful coordination of testing efforts and clear reporting of quality metrics and issues.
  • Dev Ops and CI/CD Knowledge (Preferred):
    Familiarity with source/version control systems such as Git and AWS CI/CD pipelines. Preferred to support integration of automated testing into deployment processes and enhance overall development workflow efficiency.
  • AWS Serverless Experience (Preferred):
    Our products extensively utilize AWS serverless services, including Lambda, ECS, Dynamo

    DB, S3, Cloud Watch, Step Functions, Event Bridge, and more. A strong understanding of these AWS technologies is highly beneficial for troubleshooting and designing first‑class automation frameworks.
  • AI Knowledge and Competencies (Preferred):
    Demonstrated proficiency in artificial intelligence concepts, with hands‑on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI‑powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.
Responsibilities

Design and execute comprehensive testing strategies to ensure software quality through automated testing across web applications and APIs.

  • Design and implement test strategies and plans for software applications, determining appropriate testing approaches based on project requirements and risk assessment to ensure comprehensive quality coverage.
  • Develop and maintain automated test frameworks using…
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