{"schemaVersion":"jobsearcher.job.v1","id":"a3c2eae473d610a6798b40fe","url":"https://jobsearcher.com/jobs/a3c2eae473d610a6798b40fe","canonicalUrl":"https://jobsearcher.com/jobs/a3c2eae473d610a6798b40fe","title":"Manager, Test Engineering","description":"Together we make breakthroughs possible.\nAt OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You’ll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.\n\nWhy join OCLC?\nOCLC is consistently recognized as a best place to work by several independent programs. Werecognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions—performance, experience, and skills—along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.\n\nWe know the best ideas don’t always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We’re committed to your success—both personally and professionally. Hybrid work environment: For many roles, three days a week on‑site, with occasional additional days based on business needs.\n\nFree use of our on‑site fitness center, gym sports, group exercise classes, and game room\n\nOnsite catering and cafeteria subsidized by OCLC\n\nHealth and wellness events\n\nWork environments with individual and team spaces and the latest technology tools\n\nPaid parental leave and adoption assistance\n\nTuition reimbursement and Public Service Loan Forgiveness eligibility\n\nCompany-subsidized pricing on local tickets and memberships\n\nJoin us in transforming how people everywhere access information and be part of a mission‑driven team that makes a global impact.\n\nThe job details are as follows:\nOCLC’s Quality Assurance organization supports quality across the delivery lifecycle through defect prevention, risk management, effective testing, and continuous improvement.\nThe Manager of Test Engineering leads Quality Test Engineers across OCLC products and services, overseeing QA strategy, staffing, testing, automation, metrics, AI adoption, and release readiness while partnering with Product and Engineering to improve quality, productivity, and delivery confidence.\nThis role advances QA modernization through AI‑assisted testing, intelligent automation, performance engineering, quality analytics, and tool/framework adoption to improve testing effectiveness, feedback speed, productivity, and release confidence.\n\nResponsibilities\n\nLead, coach, and develop Quality Engineers across multiple products and initiatives.\n\nManage QA planning, staffing, prioritization, capacity, and execution to support delivery commitments.\n\nDefine and execute balanced testing strategies for exploratory, manual, accessibility, functional, integration, regression, acceptance, performance, and release testing, using shift‑left and risk‑based practices to accelerate feedback and prevent defects.\n\nLead QA modernization initiatives through automation, AI‑enabled agentic testing, quality analytics, tool and framework adoption, and modern Quality Engineering practices that improve testing effectiveness, productivity, and release confidence.\n\nDefine, monitor, and communicate quality and delivery metrics (e.g., defect escape rates, test coverage, change failure rates, release readiness, RCA findings), and use insights to drive continuous improvement and measurable outcomes.\n\nEstablish quality standards, governance practices, and scalable quality ownership models across teams (including coaching Engineering teams on effective automated testing practices and adoption of standard frameworks).\n\nDefine and maintain CI/CD quality gates and release criteria, improve pipeline signal quality (flake reduction, suite health, triage/quarantine practices), and establish clear escalation paths when quality risk is high.\n\nPartner with Product, Engineering, Operations/SRE, and business stakeholders to embed quality throughout the SDLC, ensure transparency of quality risks and testing progress, and improve reliability, scalability, performance, and customer experience.\n\nInfluence architecture and design for testability by participating in design/architecture reviews and promoting practices such as contract testing, backward compatibility validation, and testability requirements.\n\nOwn strategy for test environments and test data management (including synthetic test data generation and privacy‑safe practices) and integrate production/customer signals and post‑incident learnings into prevention and regression strategies.\n\nAssess release readiness, communicate quality risk, and provide recommendations that support informed delivery decisions, including alignment with security and privacy requirements where applicable.\n\nQualifications\n\nBachelor’s degree in information technology, Computer Science, Library Science, or a related discipline; or equivalent experience.\n\nUnderstanding of AI‑assisted testing, intelligent automation, and modern Quality Engineering practices.\n\nExperience leading, coaching, and developing high‑performing QA teams supporting complex software products and delivery organizations.\n\nStrong knowledge of software testing methodologies, including manual, exploratory, UI, API, database validation, accessibility, functional, integration, regression, acceptance, and performance testing.\n\nExperience managing QA planning, execution, quality reporting, metrics, and release readiness activities.\n\nExperience defining quality objectives, managing quality risk, and using metrics to drive data‑informed decision‑making.\n\nExperience with automation frameworks and technologies such as Playwright, Selenium, Cucumber, Python, Java, or equivalent solutions.\n\nKnowledge of performance engineering principles, including scalability, reliability, capacity planning, and load testing using tools such as K6, JMeter, BlazeMeter, WebLOAD, or similar solutions.\n\nExperience with Agile methodologies, GitHub‑based development workflows, CI/CD pipelines, Jenkins, Jira, quality reporting platforms, and modern AI‑enabled engineering tools.\n\nTechnical Focus\n\nTest strategy, planning, execution, and release readiness\n\nAI‑powered quality analytics and engineering productivity improvements\n\nTest data management and synthetic test data generation\n\nResponsible AI adoption, governance, security, and privacy\n\nManual, exploratory, UI, API, database validation, accessibility, functional, integration, regression, acceptance, and performance testing\n\nAutomation frameworks and CI/CD quality integration\n\nQuality metrics, analytics, and executive reporting\n\nRoot Cause Analysis (RCA), defect prevention, and quality governance\n\nPerformance engineering, scalability, reliability, capacity planning, and load testing\n\nQuality Engineering transformation, modernization, and shift‑left testing\n\nAI‑assisted test design, test generation, and intelligent regression testing\n\nNon‑Technical Skills\n\nPassion for coaching and mentoring\n\nDriven by measurable results\n\nPositive attitude\n\nTenacious problem solver\n\nPossess an innovation mindset\n\nNaturally inquisitive and curious\n\nWorking Conditions: Normal office environment.\n\nADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.\n\n#J-18808-Ljbffr","company":"Oclc","rawCompany":"oclc","city":"Dublin","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-29T03:22:04.346Z","occupations":[{"code":"11-3051.01","title":"Quality Control Systems Managers","slug":"quality-control-systems-managers"},{"code":"15-1253.00","title":"Software Quality Assurance Analysts and Testers","slug":"software-quality-assurance-analysts-and-testers"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"611710","title":"Educational Support Services","slug":"educational-support-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Manager, Test Engineering","description":"Together we make breakthroughs possible.\nAt OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You’ll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.\n\nWhy join OCLC?\nOCLC is consistently recognized as a best place to work by several independent programs. Werecognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions—performance, experience, and skills—along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.\n\nWe know the best ideas don’t always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We’re committed to your success—both personally and professionally. Hybrid work environment: For many roles, three days a week on‑site, with occasional additional days based on business needs.\n\nFree use of our on‑site fitness center, gym sports, group exercise classes, and game room\n\nOnsite catering and cafeteria subsidized by OCLC\n\nHealth and wellness events\n\nWork environments with individual and team spaces and the latest technology tools\n\nPaid parental leave and adoption assistance\n\nTuition reimbursement and Public Service Loan Forgiveness eligibility\n\nCompany-subsidized pricing on local tickets and memberships\n\nJoin us in transforming how people everywhere access information and be part of a mission‑driven team that makes a global impact.\n\nThe job details are as follows:\nOCLC’s Quality Assurance organization supports quality across the delivery lifecycle through defect prevention, risk management, effective testing, and continuous improvement.\nThe Manager of Test Engineering leads Quality Test Engineers across OCLC products and services, overseeing QA strategy, staffing, testing, automation, metrics, AI adoption, and release readiness while partnering with Product and Engineering to improve quality, productivity, and delivery confidence.\nThis role advances QA modernization through AI‑assisted testing, intelligent automation, performance engineering, quality analytics, and tool/framework adoption to improve testing effectiveness, feedback speed, productivity, and release confidence.\n\nResponsibilities\n\nLead, coach, and develop Quality Engineers across multiple products and initiatives.\n\nManage QA planning, staffing, prioritization, capacity, and execution to support delivery commitments.\n\nDefine and execute balanced testing strategies for exploratory, manual, accessibility, functional, integration, regression, acceptance, performance, and release testing, using shift‑left and risk‑based practices to accelerate feedback and prevent defects.\n\nLead QA modernization initiatives through automation, AI‑enabled agentic testing, quality analytics, tool and framework adoption, and modern Quality Engineering practices that improve testing effectiveness, productivity, and release confidence.\n\nDefine, monitor, and communicate quality and delivery metrics (e.g., defect escape rates, test coverage, change failure rates, release readiness, RCA findings), and use insights to drive continuous improvement and measurable outcomes.\n\nEstablish quality standards, governance practices, and scalable quality ownership models across teams (including coaching Engineering teams on effective automated testing practices and adoption of standard frameworks).\n\nDefine and maintain CI/CD quality gates and release criteria, improve pipeline signal quality (flake reduction, suite health, triage/quarantine practices), and establish clear escalation paths when quality risk is high.\n\nPartner with Product, Engineering, Operations/SRE, and business stakeholders to embed quality throughout the SDLC, ensure transparency of quality risks and testing progress, and improve reliability, scalability, performance, and customer experience.\n\nInfluence architecture and design for testability by participating in design/architecture reviews and promoting practices such as contract testing, backward compatibility validation, and testability requirements.\n\nOwn strategy for test environments and test data management (including synthetic test data generation and privacy‑safe practices) and integrate production/customer signals and post‑incident learnings into prevention and regression strategies.\n\nAssess release readiness, communicate quality risk, and provide recommendations that support informed delivery decisions, including alignment with security and privacy requirements where applicable.\n\nQualifications\n\nBachelor’s degree in information technology, Computer Science, Library Science, or a related discipline; or equivalent experience.\n\nUnderstanding of AI‑assisted testing, intelligent automation, and modern Quality Engineering practices.\n\nExperience leading, coaching, and developing high‑performing QA teams supporting complex software products and delivery organizations.\n\nStrong knowledge of software testing methodologies, including manual, exploratory, UI, API, database validation, accessibility, functional, integration, regression, acceptance, and performance testing.\n\nExperience managing QA planning, execution, quality reporting, metrics, and release readiness activities.\n\nExperience defining quality objectives, managing quality risk, and using metrics to drive data‑informed decision‑making.\n\nExperience with automation frameworks and technologies such as Playwright, Selenium, Cucumber, Python, Java, or equivalent solutions.\n\nKnowledge of performance engineering principles, including scalability, reliability, capacity planning, and load testing using tools such as K6, JMeter, BlazeMeter, WebLOAD, or similar solutions.\n\nExperience with Agile methodologies, GitHub‑based development workflows, CI/CD pipelines, Jenkins, Jira, quality reporting platforms, and modern AI‑enabled engineering tools.\n\nTechnical Focus\n\nTest strategy, planning, execution, and release readiness\n\nAI‑powered quality analytics and engineering productivity improvements\n\nTest data management and synthetic test data generation\n\nResponsible AI adoption, governance, security, and privacy\n\nManual, exploratory, UI, API, database validation, accessibility, functional, integration, regression, acceptance, and performance testing\n\nAutomation frameworks and CI/CD quality integration\n\nQuality metrics, analytics, and executive reporting\n\nRoot Cause Analysis (RCA), defect prevention, and quality governance\n\nPerformance engineering, scalability, reliability, capacity planning, and load testing\n\nQuality Engineering transformation, modernization, and shift‑left testing\n\nAI‑assisted test design, test generation, and intelligent regression testing\n\nNon‑Technical Skills\n\nPassion for coaching and mentoring\n\nDriven by measurable results\n\nPositive attitude\n\nTenacious problem solver\n\nPossess an innovation mindset\n\nNaturally inquisitive and curious\n\nWorking Conditions: Normal office environment.\n\nADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.\n\n#J-18808-Ljbffr","datePosted":"2026-08-29T03:22:04.346Z","dateModified":"2026-08-29T03:22:04.346Z","hiringOrganization":{"@type":"Organization","name":"Oclc","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a3c2eae473d610a6798b40fe"},"url":"https://jobsearcher.com/jobs/a3c2eae473d610a6798b40fe"}}