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Job Description & How to Apply Below
Innovapptive is an enterprise SaaS company building an AI-powered Connected Worker Platform for industrial organizations. Our platform connects frontline workers, back-office systems, and assets in real-time to drive safety, reliability, and operational productivity.
Leading global enterprises including Shell, Hess, Westlake Chemical, Kimberly-Clark, Scott Miracle-Gro, and Newmont Mining, rely on Innovapptive to transform how work gets done across plants and field operations.
Our customers have achieved $50M+ EBITDA savings at a single enterprise, 10× improvement in frontline productivity , and 15–20% reductions in maintenance costs.
Innovapptive is recognized as a Leader in Frost & Sullivan's “Frost Radar 2025 - Augmented Connected Worker Platforms”, with acknowledgments from Gartner and LNS Research, and is backed by Vista Equity Partners and Tiger Global Management .
With headquarters in Houston and an engineering center in Hyderabad, we have 300+ employees across the U.S., India, and ANZ and are on a strong trajectory toward $100M ARR.
Why This Role Exists
Innovapptive Innovapptive is scaling its product and engineering capabilities and requires a strong Quality Engineering leader to build a robust, scalable, and automation-first quality framework.
Current quality processes need to evolve toward full automation, performance reliability, and security-first testing to support enterprise-grade customers.
You will define and lead the QE vision—ensuring high product quality, faster releases, and scalable testing infrastructure across mobile, web, and cloud environments.
What You Own
End-to-end Quality Engineering strategy across the SDLC
Test architecture for mobile, web, and API automation
QE frameworks and tooling for scalability and maintainability
Performance testing strategy for high-scale SaaS environments
Security testing practices integrated into development lifecycle
CI/CD-integrated automation pipelines
Quality metrics, defect tracking, and release readiness
Team building, mentoring, and scaling QE organization
You Must Have
12+ years in QA/QE roles within SaaS or product-based companies
Strong expertise in Mobile QA (Android/iOS), Web, and API testing
Deep experience with AWS/cloud-based testing environments
Proven experience in building scalable automation frameworks
Hands-on experience in:
API Automation (Node.js)
Frontend Automation (Angular, React.js, Express.js)
Strong experience with tools like Selenium, Appium, JMeter
Experience implementing CI/CD-based testing pipelines
Strong understanding of Agile/Scrum methodologies
Excellent problem-solving, analytical, and communication skills
Proven leadership experience managing and mentoring teams
Nice to Have
Experience in industrial SaaS or enterprise platforms
Exposure to security testing frameworks and vulnerability assessments
Experience with modern test orchestration and observability tools
Knowledge of containerized environments (Docker, Kubernetes)
Shift-left and continuous testing practices
You Will Be Measured On
% automation coverage across mobile, web, and APIs
Reduction in production defects and escape rates
Test execution time and CI/CD pipeline efficiency
Performance benchmarks and system reliability metrics
Security vulnerabilities identified and mitigated
QE team productivity and scalability
Release quality and on-time delivery
Tech Stack & Tools
Automation:
Selenium, Appium, Cypress (optional)
API Testing:
Postman, REST Assured, Node.js frameworks
Performance: JMeter, Load Runner (optional)
Cloud: AWS (EC2, S3, Cloud Watch)
CI/CD:
Jenkins, Git Lab CI/CD
Monitoring:
Sentry, Cloud Watch, logging tools
Frameworks:
Custom automation frameworks across web/mobile
Compensation & Growth
Senior leadership role within engineering
Opportunity to define QE architecture for a global SaaS platform
High impact on product quality and customer success
Career path toward Head of QE / Engineering leadership
What We Offer
Competitive compensation and equity tied to measurable impact on AI accuracy and performance.
A platform to shape the semantic intelligence layer of a category-defining industrial SaaS company.
Access to cutting-edge AI, data, and observability…
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