Manager – Quality Assurance & Consulting
Job Description
Key Skills Required
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Key Responsibilities
Quality Engineering & Delivery
- Own end-to-end Quality Engineering for enterprise Salesforce and/or AWS delivery programs.
- Define Test Strategy, Test Plans, Quality Gates, Release Readiness, and overall testing approach.
- Lead Functional, API, Integration, System, Regression, Performance, Security, AI, and Non-Functional testing.
- Proactively identify delivery risks, drive mitigation plans, and act as a trusted advisor to project stakeholders.
- Partner with Product, Engineering, and Delivery teams to embed quality throughout the software development lifecycle.
Product Engineering & Innovation
- Build scalable automation frameworks, CI/CD quality gates, and reusable engineering assets.
- Drive shift-left testing, DevOps-based quality practices, and engineering productivity.
- Leverage Generative AI and Agentic AI to automate testing, improve quality processes, and build AI-assisted Quality Engineering capabilities with appropriate human oversight.
- Foster a culture of experimentation, continuous improvement, and innovation.
Business Consulting & Agile Leadership
- Understand client business processes and translate them into effective quality strategies.
- Collaborate with Product Owners, Architects, and Engineering teams to improve solution quality from design through deployment.
- Lead Agile delivery by supporting Scrum ceremonies, sprint planning, backlog refinement, dependency management, and release planning.
- Balance hands-on execution with strategic leadership based on project needs.
Practice & People Leadership
- Build and grow the Quality Engineering practice through standardization, governance, and continuous improvement.
- Lead hiring, onboarding, mentoring, career development, goal setting, performance reviews, and succession planning.
- Own resource planning, utilization, capacity forecasting, staffing, operational reporting, and executive escalations.
- Establish reusable frameworks, best practices, KPIs, and Centers of Excellence that improve delivery across the organization.
- Create an inclusive, high-performing culture built on trust, accountability, collaboration, and technical excellence.
Required Qualifications
- 12+ years of experience in Quality Engineering, with 4+ years leading high-performing engineering teams.
- Strong hands-on expertise across Functional, Automation, API, Integration, Performance, Security, and Enterprise Testing.
- Proven experience delivering enterprise Salesforce and/or AWS implementations within a consulting environment.
- Experience building automation frameworks, DevOps-enabled testing practices, and Quality Engineering strategies.
- Strong understanding of Agile methodologies with experience leading Scrum teams and collaborating across cross-functional organizations.
- Demonstrated success managing people, delivery operations, utilization, forecasting, staffing, executive communications, and stakeholder management.
- Passion for applying Generative AI and Agentic AI to modernize Quality Engineering practices.
- Excellent communication, leadership, consulting, and problem-solving skills.
Preferred Qualifications
- Experience with Amazon Connect, Service Cloud Voice, IVR, Contact Center, Conversational AI, or Agentic AI implementations.
- Certifications such as ISTQB, Scrum Master, Salesforce, AWS, or SAFe.
- Experience establishing a Quality Engineering Center of Excellence or Practice.
What We're Looking For
The ideal candidate is not simply a QA Manager. They are a Quality Engineering Leader who combines the mindset of an Engineer, Product Builder, Business Consultant, Scrum Leader, Delivery Manager, and Practice Leader.
They lead by example, embrace innovation, build high-performing teams, continuously improve engineering practices, and elevate Quality Engineering as a strategic capability that enables exceptional customer outcomes.
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Neuraflash
View Company ProfileNeuraflash is a cutting-edge technology company that specializes in developing innovative solutions for businesses and individuals. Leveraging the power of artificial intelligence, machine learning, and data analytics, Neuraflash provides a range of products and services designed to enhance operational efficiency, drive growth, and improve decision-making. With a strong focus on research and development, the company's team of expert engineers, scientists, and technologists work tirelessly to push the boundaries of what is possible, creating new and exciting opportunities for clients across various industries. From advanced cybersecurity systems to intelligent automation tools, Neuraflash's offerings are tailored to meet the evolving needs of the modern world, empowering organizations to stay ahead of the curve and thrive in an increasingly competitive landscape. With its commitment to excellence, innovation, and customer satisfaction, Neuraflash has established itself as a trusted partner for companies seeking to harness the full potential of technology to achieve their goals.
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