We are seeking a highly technical people leader to serve as our SDET Manager, responsible for guiding the strategy, architecture, and execution of the next generation of AI-augmented quality engineering across the organization. This role requires both deep hands-on expertise and strong leadership capability to scale a high-performing automation team while driving measurable improvements in reliability and product quality.
In addition to advancing traditional automation frameworks, this role will lead and support the adoption of AI-driven and agentic automation solutions to increase test intelligence, reduce operational friction, and accelerate quality feedback loops across the SDLC.
Responsibilities
Lead and mentor a team of SDETs and automation engineers, setting clear standards for technical excellence and delivery
Drive the strategy and implementation of AI-powered and agentic automation solutions to improve defect detection, test generation, test maintenance, and deployment validation
Evaluate and integrate emerging AI tooling into the quality engineering ecosystem, ensuring scalable, secure, and measurable impact on release confidence and automation efficiency
Lead and monitor reduction of change failure rates through improved test architecture, release validation, and deployment safeguards
Expand and optimize automated test coverage across UI, API, integration, and backend systems
Partner with cross-functional stakeholders to proactively identify risk and improve release stability
Champion continuous improvement through root cause analysis, defect trend evaluation, and performance monitoring
Remain hands-on when necessary, reviewing automation design, validating technical approaches, and guiding architectural decisions
Drive continuous improvement by identifying gaps in processes, tooling, and test coverage
Knowledge & Skills
Strong background in automation framework design and scalable test architecture
Deep experience with modern automation tools such as Playwright, Selenium, Cypress, or similar platforms
Proficiency in object-oriented programming languages such as C# or Python
Experience validating distributed and integrated systems, including microservices
Strong understanding of CI/CD pipelines, version control systems, and DevOps practices
Experience implementing automated testing across multiple layers:API, integration, system, end-to-end, etc.
Familiarity with Agile development methodologies and modern SDLC practices
Ability to align automation strategy with emerging technologies and evolving platform architecture
Qualifications
Proven experience leading quality or automation teams in a fast-paced engineering environment
5+ years of managing distributed or remote quality teams
10+ years of hands-on automation development experience
Demonstrated ability to influence cross-functional teams and senior stakeholders
Strong analytical mindset with the ability to translate quality metrics into business outcomes
Effective communicator who can simplify complex technical topics for executive audiences
Practical experience designing or implementing AI-driven automation solutions, including intelligent test generation, self-healing frameworks, or agent-based validation systems
Strong understanding of how large language models and agentic workflows can be leveraged within CI/CD pipelines to enhance quality signal, coverage optimization, and risk detection