Hungry, Humble, Honest, with Heart.

The Opportunity

Are you an experienced leader with a strong background in quality assurance and a passion for driving innovation through AI technologies? If so, you will want to join our team at Nutanix, where you’ll have the unique opportunity to lead transformative quality operations initiatives, collaborate closely with cross-functional teams, and make a significant impact on elevating customer-perceived quality across the organization.

About the Team

The Quality Engineering Team at Nutanix is a dynamic group dedicated to driving excellence in quality engineering and operations. Based in San Jose, this team fosters a culture of collaboration, innovation, and continuous improvement, with a mission to enhance customer-perceived quality across all products and services. Team members are encouraged to leverage their expertise and creativity to implement AI-enabled transformation initiatives that elevate the organization's quality ecosystem, aligning practices across various functions and stakeholders.

You will report to the Sr Director of Engineering, who is known for a collaborative leadership style that emphasizes empowerment and open communication. The work setup for this role is hybrid, requiring the successful candidate to be in the office for a minimum of three days per week, allowing for both in-person collaboration and flexible work arrangements.

This position does not require any travel, allowing the candidate to focus on quality operations and transformation initiatives from the San Jose location without the need for frequent offsite commitments.

Your Role

• Drive quality operations and testing activities, providing executive updates on quality health and release testing convergence.
• Establish and advocate for quality metrics and dashboards to measure test effectiveness, efficiency, and overall product quality.
• Optimize QE-owned infrastructure through collaboration with IT and quality leaders to enhance operational efficiencies.
• Lead the adoption of AI-driven practices in testing, accelerating regression testing, defect triage, and release validation.
• Track customer-perceived quality measures and analyze customer-found defects, ensuring alignment with quality leaders to drive closure.
• Collaborate with cross-functional teams to ensure comprehensive QE coverage and provide feedback on quality issues.
• Integrate customer feedback into quality strategy, delivering actionable insights to enhance customer trust and satisfaction.
• Influence and partner with stakeholders across the organization to align quality goals with overall business objectives.

What You Will Bring

• Bachelor's degree in computer science, engineering, or a related field; master's degree preferred.
• 10+ years of leadership experience and 12+ years in quality assurance, system testing, and automation.
• Strong background in quality engineering and proven ability to manage release testing and drive quality improvements.
• Hands-on experience with AI/ML to enhance QA practices, including regression testing and predictive analytics.
• Deep understanding of virtualization technologies (e.g., VMware vSphere, Nutanix AHV).
• Exceptional analytical, problem-solving, and decision-making skills.
• Excellent communication and stakeholder management abilities, with capacity to influence cross-functional teams.
• Familiarity with automation frameworks and quality tools, with a focus on AI-driven testing solutions.

Work Arrangement

Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager.

The pay range for this position at commencement of employment is expected to be between USD $ 0 and USD $ 0 per year.

However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.

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