{"id":4250637,"url":"https://alion.io/job/moodys-asst-dir-qa-engineer","title":"Asst Dir-QA Engineer","company":{"id":58685,"name":"Moody's","domain":"moodys.com","url":"https://alion.io/company/moody-s","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"B","score":81,"open_postings":13,"ghost_share":0,"stale_share":0.923,"repost_share":0.077,"time_to_fill_p50_days":16,"computed_at":"2026-11-14T05:58:10Z"}},"role":"QA","role_family":"QA","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Cypress","optional":false},{"name":"Docker","optional":false},{"name":"JavaScript","optional":false},{"name":"Playwright","optional":false},{"name":"Python","optional":false},{"name":"Selenium","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-11-09T00:00:00Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-14T12:48:22Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Skills and Competencies\n6+ years of experience in quality assurance and test automation, including a leading technical role in test strategy and automation for an application, product area, or complex set of features\nProven experience designing, building, and scaling automation frameworks using Playwright, Selenium, Cypress, or similar technologies, with Playwright strongly preferred\nAdvanced Playwright expertise, including custom fixtures, page object and component models, locator strategy, parallel execution, retries and flake management, and multi-environment configuration\nStrong programming skills in at least one language used for automation (TypeScript/JavaScript, Python, Java, or C#), with experience building reusable libraries and utilities used by other engineers\nHands-on experience running automation in containerized environments (Docker) and integrating suites into CI/CD pipelines, including reporting and quality gates\nStrong knowledge of functional, integration, API, database, and performance testing, with experience validating data-intensive financial or enterprise applications\nExperience defining and reporting quality metrics (such as coverage, flakiness, escape rate, and cycle time) and using them to inform engineering decisions\nStrong communication skills, with the ability to represent quality in design reviews and release decisions and to influence engineers and product managers across teams\nSolid working proficiency in artificial intelligence, with a track record of applying AI tools to test design, test data generation, debugging, and automation maintenance, and of guiding peers on effective use. Working knowledge of AI risk management and a commitment to responsible and ethical AI use, including validating AI-generated artifacts before adoption.\nEducation\nBachelor’s, Master’s, or PhD degree in Computer Science, Information Technology, or a related field, or equivalent practical experience\nResponsibilities\nSenior QA role taking a leading technical position in test strategy and automation for an Asset Management application, product area, or set of features. Acts as a technical reference for quality in that scope and contributes to the broader QA strategy and automation roadmap\nDrive the end-to-end test strategy within scope, covering functional, integration, API, database, performance, and cross-environment testing, and support release readiness decisions with clear quality evidence\nDesign, build, and evolve the automation framework and shared testing libraries used by QA engineers in scope, contributing to coding standards, review practices, and flake and maintenance policies\nDesign parallel and multi-threaded test execution in containerized environments to reduce feedback time and scale coverage as the product grows\nIntegrate automated suites into continuous integration and continuous delivery pipelines, including quality gates, test selection, and reporting, and support release practices such as canary releases and production verification\nDefine and report quality metrics within scope and translate them into recommendations on risk, priorities, and testability improvements for engineering and product leadership\nLead root-cause analysis of complex, cross-component, or data-integrity defects and drive the resulting fixes and preventive measures with the relevant teams\nRepresent quality in architecture and design reviews, influencing testability, observability, and non-functional requirements early in the lifecycle\nContribute hands-on expertise and proposals to the broader QA strategy and automation roadmap in partnership with QA and engineering leadership\nChampion the effective use of AI-assisted tooling in test development, maintenance, and debugging, including good practice for validating AI-generated tests and data before adoption\nAbout the Team\nYou’ll be joining a global, cross-functional team within Moody’s Analytics Asset Management business that develops software, advanced analytics, and data-driven solutions supporting investment decision-making across global financial markets. The team brings together engineers, analytics and data specialists, and financial technology experts across multiple regions, and continuously explores emerging technologies, including artificial intelligence, to improve products and delivery. 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