Software Quality Engineering Manager

• Lead, coach, and grow a team of SDETs, including hiring, performance management, and career development
• Support multiple scrum delivery teams with estimation, planning, and testing strategy for web and mobile applications
• Own the release management process across products
• Own test case coverage, test and defect reporting, and quality metrics
• Establish and scale automated testing frameworks for UI and API test automation
• Advocate for QA best practices across development and engineering teams
• Establish lightweight checks and balances to prevent regressions and production issues
• Define and evolve QA practices for AI-native features, including validation of LLM and agent outputs and testing of agentic workflows
• Organize and lead engineering special initiatives, including process improvement, tool investigation and qualification, and development of test frameworks and techniques
• Report to the Senior Products Director and work closely with them to execute the test strategy

• 10+ years of relevant development or testing experience
• 7+ years in quality roles testing and automating large-scale, customer-facing systems with sophisticated distributed integrations
• 3+ years managing SDETs responsible for qualifying features through the complete software development lifecycle
• Excellent knowledge of QE automation architecture, methodologies, processes, and tools
• Hands-on experience building QE automation frameworks for frontend and backend applications, including tools such as Cucumber, Selenium, Rest Assured, TestNG, and SOAPUI
• Experience creating multiple test frameworks from scratch
• Proficiency in Java or Python
• Familiarity with databases, SQL, and scripting languages
• Understanding of REST and RESTful services
• Experience working with remote and distributed teams
• Experience working on Agile Scrum teams
• Ability to collaborate with and influence cross-functional teams
• Ability to drive efficiency through process improvement and automation, increase test coverage, reduce customer-impacting defects, make risk-based decisions, and mentor engineers
• Ability to build, drive, and support an automation test strategy
• Advanced AI proficiency at minimum Level L5, applying AI across QA, test automation, defect analysis, test data generation, and quality-risk assessment
• Experience using AI to generate and expand test cases, accelerate automation development and debugging, analyze logs and defects, generate edge-case test data, and evaluate coverage and release-quality metrics
• Strong understanding of testing AI/agent-based features, including hallucination detection, grounding, guardrails, fallback behavior, and prompt-injection resistance
• Experience with tools such as Claude is required
• AI-generated outputs must be critically reviewed and validated before use in testing or release decisions
• Knowledge of software quality engineering, engineering management, test automation, API and UI testing, AI-native quality engineering, release management, Agile software delivery, DevOps and CI/CD, cloud and container technologies, quality strategy and process improvement, and leadership and people management

• Competitive salary and bonus
• Unifonic share scheme
• 30 holiday days after the first anniversary
• Birthday off
• Spend up to 25 days per year working from anywhere in the world
• Paid leave for new parents