Senior Manager, Quality Assurance

Posted 4 Days Ago
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Pune, Mahārāshtra, IND
In-Office
Senior level
Information Technology • Security • Cybersecurity
The Role
Lead and scale QA for a Cybersecurity Asset Management SaaS product. Define quality strategy, KPIs, and testing approaches; drive automation-first practices, CI/CD quality gates, AI-assisted testing, performance and security validation, cross-functional collaboration, release governance, and team growth.
Summary Generated by Built In

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

Senior Manager, Quality Assurance, Cybersecurity Asset Management 

 

About the Role 

Qualys is seeking an experienced Senior Manager, Quality Assurance to lead and scale the QA organization responsible for ensuring the quality, reliability, performance, and security of our Cybersecurity Asset Management product. In this role, you will define and execute the quality strategy across asset discovery, inventory management, and security solutions across physical, virtual, cloud, and containerized environments. You will play a key leadership role in defining how organizations discover, manage, and secure their digital assets globally. 

You will work closely with Engineering, Product Management, DevOps, Customer Success, and Sustenance teams to drive quality throughout the software development lifecycle. The ideal candidate combines strong technical expertise with proven leadership experience managing QA organizations for enterprise SaaS platforms. 

 

Responsibilities 

Leadership & Strategy 

  • Lead, mentor, and grow a team of leads, automation engineers, and quality engineers. 

  • Define and execute the overall quality strategy for CSAM and Unified Asset Inventory platforms. 

  • Establish quality metrics, KPIs, and release readiness criteria across products. 

  • Drive continuous improvement initiatives to increase product quality, test coverage, and engineering efficiency. 

  • Mentor the team to leverage Artificial Intelligence (AI) to significantly improve test productivity, reduce release cycles, increase automation coverage, and accelerate root cause analysis. 

Quality Engineering 

  • Define comprehensive testing strategies covering functional, integration, regression, performance, scalability, reliability, and security testing. 

  • Ensure high-quality releases in an Agile environment with frequent deployments. 

Automation & Platform Quality 

  • Drive automation-first testing practices across backend services, APIs, microservices, and web applications. 

  • Expand automated regression coverage and reduce manual testing effort. 

  • Partner with engineering teams to implement quality gates within CI/CD pipelines. 

  • Establish automated validation frameworks for large-scale asset ingestion and data processing systems. 

Cross-Functional Collaboration 

  • Partner closely with Product Management to understand requirements and customer use cases. 

  • Collaborate with Engineering leadership to improve development and testing practices. 

  • Work with Security Solutions, Customer Success and Sustenance teams to analyze production issues and improve product quality. 

  • Participate in customer escalations and drive quality improvements based on customer feedback. 

Operational Excellence 

  • Establish release governance and quality review processes. 

  • Track and communicate quality metrics, defect trends, automation coverage, and release health. 

  • Drive root cause analysis for critical issues and implement preventive measures. 

  • Manage QA resource planning, budgeting, hiring, and career development. 

 

Qualifications 

  • Bachelor's or Master’s degree in computer science, Engineering, or related field. 

  • 12+ years of software quality assurance experience with at least 5+ years managing QA teams.  

  • Experience leading QA organizations supporting enterprise SaaS platforms.  

  • Strong understanding of test automation frameworks and quality engineering best practices.  

  • Hands-on experience with Generative AI technologies, LLMs, AI copilots, and AI-assisted software development tools. 

  • Experience testing distributed systems, microservices architectures, and cloud-native applications.  

  • Hands-on experience with API testing, integration testing, and backend platform validation.  

  • Strong understanding of Agile development methodologies and CI/CD pipelines.  

  • Experience with performance, scalability, and reliability testing.  

  • Excellent leadership, communication, and stakeholder management skills. 

Preferred Qualifications 

  • Experience in cybersecurity, asset management, vulnerability management, or risk management platforms 

  • Experience validating cloud platforms across AWS, Azure, and GCP. 

  • Familiarity with large-scale data processing technologies such as Kafka, Spark, Elasticsearch/OpenSearch, and distributed databases. 

  • Familiarity with compliance and audit requirements in cloud environments. 

  • Understanding of secure software development and security testing practices. 

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 12+ years of software quality assurance experience with at least 5+ years managing QA teams.
  • Experience leading QA organizations supporting enterprise SaaS platforms.
  • Strong understanding of test automation frameworks and quality engineering best practices.
  • Hands-on experience with Generative AI technologies, LLMs, AI copilots, and AI-assisted development tools.
  • Experience testing distributed systems, microservices architectures, and cloud-native applications.
  • Hands-on experience with API testing, integration testing, and backend platform validation.
  • Strong understanding of Agile development methodologies and CI/CD pipelines.
  • Experience with performance, scalability, and reliability testing.
  • Excellent leadership, communication, and stakeholder management skills.
  • Experience in cybersecurity, asset management, vulnerability management, or risk management platforms.
  • Experience validating cloud platforms across AWS, Azure, and GCP.
  • Familiarity with Kafka, Spark, Elasticsearch/OpenSearch, and distributed databases.
  • Familiarity with compliance and audit requirements in cloud environments.
  • Understanding of secure software development and security testing practices.

Qualys Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qualys and has not been reviewed or approved by Qualys.

  • Affordable Benefits Benefits costs are widely viewed as low for employees and dependents, with healthcare often described as almost fully paid for. Feedback suggests this affordability helps offset perceptions of lower base pay in some roles.
  • Healthcare Strength Healthcare offerings are broad, including multiple medical plan options, dental and vision coverage, mental health support, and disability insurance. Benefits are described as “pretty amazing” or “great,” reinforcing perceived quality and coverage depth.
  • Equity Value & Accessibility Equity participation is accessible through company stock plans and an employee stock purchase plan. Compensation packages commonly include equity alongside salary and bonus, which some consider a meaningful part of total rewards.

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The Company
HQ: Foster City, CA
2,736 Employees
Year Founded: 1999

What We Do

Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of disruptive cloud-based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings. The Qualys Cloud Platform leverages a single agent to continuously deliver critical security intelligence while enabling enterprises to automate the full spectrum of vulnerability detection, compliance, and protection for IT systems, workloads and web applications across on premises, endpoints, servers, public and private clouds, containers, and mobile devices. Founded in 1999 as one of the first SaaS security companies, Qualys has strategic partnerships and seamlessly integrates its vulnerability management capabilities into security offerings from cloud service providers, including Amazon Web Services, the Google Cloud Platform and Microsoft Azure, along with a number of leading managed service providers and global consulting organizations. For more information, please visit http://www.qualys.com

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