Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузи резюме
О рекламодателе
ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ" ИНН: 9704271170
описание
Candidates are expected to participate in interviews without the use of AI tools, automated prompts, or third-party assistance. Use of AI or external assistance during live interviews may result in disqualification. For roles where AI skills are being evaluated, permitted use of AI tools will be clearly communicated in advance. Candidates may be asked to disable virtual backgrounds or participate in in-person interviews. All employment offers are contingent upon successful completion of applicable criminal, education and identity background checks
Acronis provides integrated cybersecurity, data protection, and endpoint management solutions for managed service providers, small and medium businesses, enterprise IT departments, and home users. Its solutions help identify, prevent, detect, respond to, remediate, and recover from cyberthreats, supporting data integrity and business continuity.
задачи
Develop and maintain a unified quality strategy aligned with organizational and product goals
Define QA standards, processes, tools, and governance mechanisms across product lines
Lead quality improvement initiatives, audits, and transformation programs
Drive the adoption of AI/ML-based quality, testing, and risk assessment tools
Champion innovation, experimentation, and continuous improvement
Define, track, and report quality metrics, including defect rates, release stability, automation effectiveness, and customer-reported issues
Prepare executive-level quality reports and dashboards for C-level leadership
Provide dotted-line leadership to approximately 150 QA/AQA professionals across 10 distributed product teams
Mentor QA managers, leads, and senior engineers, fostering talent development and capability growth
Build and maintain a competency framework covering automation, quality engineering, AI literacy, and modern testing disciplines
Promote collaboration, consistency, and best-practice adoption across distributed teams
Foster an efficiency-first mindset and commitment to quality, innovation, and customer value
Oversee functional, regression, integration, performance, security, and automated testing practices
Advance automation strategies and frameworks for CI/CD pipelines and modern engineering delivery models
Support risk-based test planning and strategic testing for complex, multi-product environments
Lead the integration of AI-assisted testing, generative AI tools, intelligent automation, and predictive quality insights
Introduce tools and technologies that improve test effectiveness, coverage, and speed
Ensure continuous learning and adaptation to emerging QA technologies, tools, and industry trends
Align release criteria, quality gates, and readiness standards across product teams
Partner with Engineering and Product to improve release stability, predictability, and performance
Oversee defect detection and provide visibility into quality risks throughout the SDLC
Participate in critical release reviews, escalations, and post-release evaluations
Use AI tools and analytics to improve release risk assessment and decision-making
Communicate risks, priorities, and release readiness to senior leadership in a timely manner
Work with Product Management to ensure requirements are testable and quality expectations are defined
Collaborate with Customer Support and Customer Success to resolve customer-found issues efficiently and sustainably
Partner with Sales, Pre-Sales, and Services during escalations or customer-critical engagements
Communicate quality risks, priorities, and metrics to stakeholders and executive leadership
Identify cross-functional opportunities for automation, AI-enabled improvements, and operational efficiency
Strengthen customer retention and competitive positioning through improved product quality and reliability
требования
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
10+ Years of QA, Quality Engineering, or Software Testing experience
7+ Years in QA leadership roles with responsibility across multiple products and global teams
Experience with automation frameworks, CI/CD pipelines, and modern SDLC practices
Proven ability to lead in a matrixed/dotted-line environment
Experience with AI-assisted testing or ML-driven quality tools
Strong communication and collaboration skills across technical and business functions
Passion for quality, innovation, efficiency, and continuous improvement
Experience preparing and presenting reports and insights to C-level executives
Будет плюсом: Experience in SaaS, cloud platforms, or enterprise software, knowledge of generative AI, predictive analytics, or intelligent automation technologies, experience in large-scale QA modernization and organizational change initiatives
.svg)
