Senior Test Manager

Czym będziesz się zajmować?

• Develop and document a comprehensive testing strategy for a major Mainframe to Linux migration (assembler applications to Java/SQL on Linux)
• Coordinate and oversee the execution of testing activities, ensuring timely delivery and high-quality standards
• Act as the primary liaison among project stakeholders, including architects, developers, and management
• Lead, mentor, and manage a specialized testing team, promoting a culture of excellence and continuous improvement
• Monitor testing progress, analyze defect reports, and implement process improvements
• Produce detailed test documentation and provide regular progress updates to senior management

• 15+ years of experience in managing testing for complex projects, especially system migrations
• Bachelor's degree in Computer Science, Engineering, or a related discipline
• Strong expertise in testing methodologies, particularly unit and functional testing
• Proven experience working in Agile/SAFe environments
• Excellent communication skills and stakeholder management capabilities
• Fluent English (spoken and written)
• Existing legal right to work in the European Union

• Experience with tools like X-Ray or similar testing management solutions
• Background in mainframe systems and Linux environments
• Certifications related to testing or project management

• Zarządzanie testami
• Testing
• Unit testing
• Functional testing
• SAFe
• Zarządzanie interesariuszami
• Zarządzanie zespołem

• Dokumentacja projektowa

• Angielski

• 21k–31.5k PLN netto/m (B2B)
• B2B - Elastyczne godziny pracy (100%)
• Praca zdalna: Hybrydowo

ITDS is a business consultancy and IT & AI engineering outsourcing company specializing in delivering modern digital solutions. The firm partners with enterprise clients across various sectors—including financial services, fintech, e-commerce, and healthcare—to design, build, and maintain complex technology ecosystems.

Core Technology Domains

• Software Development: End-to-end bespoke software engineering and architecture.
• Data Engineering: Data infrastructure, analytics platforms, and pipelines.
• Cloud & DevOps Engineering: Cloud migrations, infrastructure automation, and CI/CD pipelines.
• Cybersecurity: Security frameworks, audits, and threat mitigation.
• Artificial Intelligence (AI): AI model development and enterprise AI integration.

Engagement Models

• Staff Augmentation: Rapid deployment of vetted individual IT specialists.
• Managed Capacity: Flexible scaling of specialized engineering capacity.
• Managed Services: End-to-end management of specific technical functions and operations.
• Managed Outcome: Delivery models tied directly to defined milestones and project outcomes.