DevTest Group Manager

We are looking for a DevTest Group Manager with strong expertise in AI-driven testing and a proven ability to lead teams through the adoption of AI tools and methodologies. This role combines leadership, quality engineering, and innovation, with a focus on transforming traditional testing into a scalable, AI-enabled practice. You will lead multiple DevTest teams, drive strategy, and implement AI-based solutions to significantly improve efficiency, productivity, and quality across the organization.Key ResponsibilitiesLead and manage multiple DevTest teams, including team leads and engineersDefine and execute the AI adoption strategy within DevTestDrive the transition from manual/automation testing to AI-assisted and AI-driven testingIdentify and implement AI-based testing solutions (e.g., test generation, self-healing tests, intelligent execution)Build and scale AI-enabled frameworks and tools for E2E testingCollaborate with R&D and Product managers to integrate AI into the development lifecycleEnsure high standards of quality, coverage, and reliability across all testing activitiesAnalyze metrics and KPIs to continuously improve DevTest efficiency and effectivenessMentor and develop team members in both technical (with extra attention to AI capabilities) and managerial path Promote a culture of innovation, learning, and continuous improvementWhat Success Looks LikeDevTest teams effectively using AI in daily workflowsSignificant improvement in testing efficiency/quality and productivityIncreased test coverage and faster feedback cyclesSuccessful rollout of AI tools and frameworks across teamsTeams upskilled and confident in working with AI.Requirements: Leadership & DevTest5 years of experience in SW Development / Quality Engineering.

experience in QA, leading QA teams - advantage2 years of experience managing teams or group-level leadershipStrong background in test automation, E2E testing, and CI/CD environmentsExperience working in complex, distributed systemsExperience in Telco - advantage AI & Data ExpertiseHands-on experience with AI/ML-based tools or solutions in testing or developmentStrong understanding of AI concepts (LLMs, ML basics, data-driven systems)Experience leading or participating in AI adoption initiativesFamiliarity with AI-assisted development tools (e.g., Cursor, Copilot, ChatGPT)Ability to evaluate and implement AI tools to improve engineering workflowsTechnical SkillsProficiency in Python, Java, or similar languagesExperience with modern testing frameworks and toolsUnderstanding of data analysis and working with large datasetsExperience with LLM-based systems and prompt engineeringBackground in data pipelines or analytics systemsExperience building internal platforms or toolingFamiliarity with cloud environments (AWS/GCP/Azure) - nice to haveLeadership & Soft SkillsStrong leadership and organizational skillsProven ability to lead organizational change and transformationStrategic thinking with a hands-on approachExcellent communication and stakeholder managementHigh level of ownership and execution.This position is open to all candidates.