Software Quality Engineering Manager
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Job Description
Software Quality Engineering Manager leading SDET teams and AI-native testing for Unifonic’s customer experience platform. Owning automation, release quality, and testing strategy across web, mobile, and agentic products.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- 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
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