3 дня назад
Manager, Test Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, Test Engineering (AI): Leading quality engineering across complex software products, covering test strategy, automation, performance engineering, quality analytics, and release readiness with an accent on AI-assisted testing and scalable quality governance. Focus on building CI/CD quality gates, improving test signal and reliability, managing synthetic test data, and using metrics to drive defect prevention and informed delivery decisions.
Location: Dublin, Ohio, United States; hybrid work with three days per week on-site
Company
builds technology that connects libraries and makes knowledge accessible worldwide, using complex datasets, AI and machine learning, and hybrid cloud solutions.
What you will do
- Lead, coach, and develop Quality Test Engineers across multiple products and initiatives.
- Manage QA planning, staffing, prioritization, capacity, execution, and release readiness.
- Define testing strategies spanning exploratory, manual, accessibility, functional, integration, regression, acceptance, API, database, performance, and release testing.
- Advance QA modernization through automation, AI-assisted testing, quality analytics, performance engineering, and modern test frameworks.
- Define quality metrics, governance practices, CI/CD quality gates, release criteria, and escalation paths for quality risks.
- Partner with Product, Engineering, Operations/SRE, and business stakeholders to improve reliability, scalability, performance, and customer experience.
Requirements
- Bachelor’s degree in information technology, Computer Science, Library Science, or a related discipline, or equivalent experience.
- Experience leading, coaching, and developing QA teams supporting complex software products.
- Strong knowledge of manual, exploratory, UI, API, database validation, accessibility, functional, integration, regression, acceptance, and performance testing.
- Experience with automation frameworks and technologies such as Playwright, Selenium, Cucumber, Python, or Java.
- Knowledge of performance engineering, scalability, reliability, capacity planning, and load testing with tools such as K6, JMeter, BlazeMeter, or WebLOAD.
- Experience with Agile methodologies, GitHub workflows, CI/CD pipelines, Jenkins, Jira, quality reporting, and AI-enabled engineering tools.
Culture & Benefits
- Hybrid work environment with office attendance generally expected three days per week.
- Health coverage, retirement plans with company contributions, and wellness support.
- Paid parental leave and adoption assistance.
- Tuition reimbursement and Public Service Loan Forgiveness eligibility.
- On-site fitness facilities, subsidized catering, cafeteria access, and wellness events.
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