Director of Quality Assurance

Job not on LinkedIn

🔥 1 hour ago

🌐 Bulgaria, Serbia, +4 more countries – Remote

🇧🇬 Bulgaria – Remote 🇷🇸 Serbia – Remote 🇪🇸 Spain – Remote 🇵🇱 Poland – Remote 🇩🇪 Germany – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🔴 Lead

🔧 QA Engineer (Quality Assurance)

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Acronis

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

🔒 Cybersecurity

☁️ SaaS

🤝 B2B

Cybersecurity • SaaS • B2B

Acronis is a cyber protection company that provides integrated backup, disaster recovery, and cybersecurity solutions delivered as cloud-native and on-premises software. It offers endpoint protection (EDR/XDR), anti-malware, email and Microsoft 365 protection, RMM and PSA tools, and MSP-focused multi-tenant management to enable service providers and businesses to detect, respond, and recover from cyberthreats. Acronis operates globally with compliant data centers, certifications, and a platform designed to consolidate backup, security, and IT management into a single solution.

📋 Description

• Develop and maintain a unified quality strategy aligned with organizational and product goals • Define QA standards, processes, tools, and governance mechanisms across all product lines • Lead quality improvement initiatives, audits, and transformation programs • Drive adoption of AI/ML-based quality, testing, and risk-assessment tools • 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 and Automation QA professionals across 10 distributed product teams • Mentor QA managers, leads, and senior engineers and develop competency frameworks • Oversee functional, regression, integration, performance, security, and automated testing practices • Advance automation strategies and frameworks supporting CI/CD pipelines and modern engineering delivery models • Lead integration of AI-assisted testing, generative AI tools, intelligent automation, and predictive quality insights • Ensure alignment on release criteria, quality gates, and readiness standards • Partner with Engineering and Product to improve release stability, predictability, and performance • Oversee defect detection and quality-risk visibility throughout the SDLC • Participate in critical release reviews, escalations, and post-release evaluations • Work with Product Management to ensure requirements are testable and quality expectations are defined • Collaborate with Customer Support, Customer Success, Sales, Pre-Sales, and Services during issue resolution and customer-critical engagements • Communicate quality risks, priorities, and metrics to stakeholders and executive leadership • Strengthen customer retention and competitive positioning through improved product quality and reliability

🎯 Requirements

• 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 • Demonstrated 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 • Preferred: Experience in SaaS, cloud platforms, or enterprise software • Preferred: Knowledge of generative AI, predictive analytics, or intelligent automation technologies • Preferred: Experience in large-scale QA modernization and organizational change initiatives • Resume and application must be submitted in English • Successful completion of applicable criminal, education, and identity background checks

🏖️ Benefits

• Equal opportunity employment • Employment offers contingent upon successful completion of applicable criminal, education, and identity background checks • Global “A-Team” culture emphasizing innovation, accountability, impact, ownership, resilience, adaptability, and continuous improvement