We are seeking a highly skilled and proactive Senior Software Quality Assurance (SQA) Engineer to lead quality initiatives across complex product areas. This role is responsible for driving end-to-end quality strategy, leading cross-functional testing efforts, and ensuring reliable, scalable, and high-performing software releases with minimal oversight.
The ideal candidate combines strong technical testing expertise with strategic quality leadership, excellent stakeholder management, and a modern understanding of AI-assisted testing practices. This individual will influence engineering quality standards, improve preventative quality practices, and help shape scalable testing strategies across systems and teams.
Key Responsibilities
Quality Leadership & Delivery
- Own quality outcomes for a product area with moderate ambiguity and minimal oversight.
- Lead cross-functional test planning, execution, and release validation activities.
- Drive defect triage, root cause analysis, and resolution efforts across engineering teams.
- Establish measurable quality metrics and release readiness criteria.
- Create scalable quality processes that improve release confidence, reliability, and customer experience.
- Balance release velocity, product risk, and quality rigor through sound engineering judgment.
Technical Skills & Responsibilities
- Lead quality strategy across API, functional, end-to-end, regression, and performance testing for complex systems and integrations.
- Design scalable automation frameworks and CI/CD quality validation processes to improve release reliability and efficiency.
- Drive AI-assisted and AI validation testing strategies focused on reliability, bias, drift, and risk mitigation.
- Partner with engineering teams to integrate quality planning into system architecture and design decisions.
- Lead root cause analysis and continuous improvement initiatives to strengthen preventative quality practices.
- Utilize modern AI productivity and testing tools, including ChatGPT and Cursor, to improve test design, analysis, automation efficiency, and engineering collaboration.
- Leverage automation and cloud-based testing platforms such as Cyara, AWS, and related technologies to support scalable quality engineering solutions.
- Support quality validation across customer experience platforms including IVR, Conversational IVR (Convo_IVR), and integrated voice or chatbot technologies.
Culture & Leadership Expectations
- Communicate quality risks, testing strategy, and release readiness effectively to technical and business stakeholders.
- Influence cross-functional teams and drive alignment on quality standards without direct authority.
- Make sound prioritization decisions balancing quality, delivery speed, and business impact.
- Lead effectively in ambiguous environments by creating structure, clarity, and scalable testing practices.
- Take ownership of quality outcomes while mentoring and developing team members through coaching, feedback, and knowledge sharing.
Preferred Qualifications
- Experience working within Agile and DevOps environments.
- Exposure to cloud-native architectures and microservices ecosystems.
- Experience with AI/ML-enabled products or AI validation frameworks.
- Demonstrated ability to lead quality strategy across multiple teams or product domains.
- Familiarity with AI tools such as ChatGPT, Cursor, and other AI-assisted engineering platforms.
- Experience with automation and testing platforms including Cyara, AWS, IVR, Conversational IVR (Convo_IVR), and related cloud technologies.
- Spanish-speaking proficiency (Nice to Have – Not must have)
