--- title: 'QA Automation Engineer at Phizenix' canonical: 'https://feeny.ai/job/qa-automation-engineer-phizenix-hyderabad-emn3ryp3sk2z' type: 'job' last_seen: '2026-09-10' --- # QA Automation Engineer at Phizenix - **Company:** Phizenix - **Location:** Hyderabad, India - **Work type:** hybrid - **Posted:** 2026-08-21 - **Last confirmed live:** 2026-09-10 - **Apply:** https://job-boards.greenhouse.io/phizenix/jobs/5398758008 ## Job description Position Overview We're seeking an experienced QA Automation engineering to establish and lead our quality assurance function. This is a critical role responsible for building comprehensive test automation frameworks, defining quality processes, and ensuring the reliability and security of our AI-native financial platform. You'll be the first dedicated QA responsible for creating our testing strategy from the ground up, building a high-performing QA team, and establishing quality standards across frontend, backend, API, and AI/ML components. This role requires both deep technical expertise in test automation and leadership skills to build and scale a world-class QA organization. ## Why This Role is Exciting - Build from Scratch - Define QA strategy, frameworks, and processes from day one - AI/ML Testing - Test cutting-edge LLM applications and agentic workflows - Full Stack Ownership - Cover frontend (React), backend (Python/FastAPI), APIs, and databases - Leadership Impact - Build and lead a QA team; shape quality culture - Ensure quality for mission-critical financial operations ________________________________________ ## Key Responsibilities Test Automation Strategy & Framework (35%) - Design and implement comprehensive test automation framework - Build API test automation (REST, GraphQL) - Implement frontend E2E testing (Playwright, Cypress) - Create backend/integration test suites - Establish CI/CD integration for automated testing - Define test data management strategy - Implement performance and load testing frameworks Quality Leadership & Team Building (25%) - Build and lead QA team (2-5 engineers initially, scaling to 8-10) - Define QA processes, standards, and best practices - Establish quality metrics and KPIs - Conduct 1-on-1s and performance reviews - Mentor QA engineers on automation and testing practices - Drive quality culture across engineering AI/ML & LLM Testing (20%) - Develop testing strategies for LLM-powered features - Test agentic workflows and AI decision-making - Validate model outputs and prompt engineering - Test AI accuracy, consistency, and edge cases - Implement monitoring for AI behavior in production - Ensure responsible AI practices (bias, fairness) Security & Compliance Testing (10%) - Implement security testing (SAST, DAST) - Test authentication, authorization, and RBAC - Validate data encryption and privacy controls - Ensure SOC 2, GDPR compliance requirements - Conduct penetration testing coordination - Test multi-tenant isolation and security Release & Deployment Quality (5%) - Define release testing procedures - Implement smoke and regression test suites - Validate staging and production deployments - Coordinate with DevOps on deployment gates - Post-deployment validation and monitoring Collaboration & Communication (5%) - Partner with Product on acceptance criteria - Work with Engineering on testability - Report quality metrics to leadership - Identify and escalate critical issues - Document testing processes and runbooks ________________________________________ Technical Stack Test Automation Tools - API Testing: Postman, REST Assured, PyTest - E2E Testing: Playwright, Cypress, Selenium - Backend Testing: PyTest, unittest, integration tests - Load Testing: JMeter, Locust, k6 - Performance: Lighthouse, WebPageTest Programming & Frameworks - Languages: Python, JavaScript/TypeScript - Backend: FastAPI, PostgreSQL, REST APIs - Frontend: React, Next.js, TypeScript - Test Frameworks: PyTest, Jest, Mocha CI/CD & DevOps - CI/CD: GitHub Actions, Jenkins, GitLab CI - Containerization: Docker, Kubernetes - Cloud: AWS (EC2, ECS, EKS, Lambda) - Monitoring: Datadog, CloudWatch, Prometheus Security & Quality Tools - SAST: SonarQube, Snyk, CodeQL - DAST: OWASP ZAP, Burp Suite - Test Management: TestRail, Zephyr, Jira - Version Control: Git, GitHub ________________________________________ Required Qualifications Technical Expertise Automation & Testing - 10+ years of QA/test automation experience with 3+ years in leadership - Expert-level test automation skills (API, UI, backend) - Strong programming in Python and JavaScript/TypeScript - Proven experience building test automation frameworks from scratch - Deep knowledge of testing methodologies (functional, integration, E2E, performance) - CI/CD integration expertise with automated test pipelines - API testing expertise (REST, GraphQL, WebSockets) Technical Skills - Backend testing: Python, FastAPI, PostgreSQL, SQLAlchemy - Frontend testing: React, TypeScript, Playwright/Cypress - Performance testing: Load testing, stress testing, scalability validation - Security testing: SAST, DAST, vulnerability scanning - Database testing: SQL, data validation, database performance - Cloud platforms: AWS (preferred), GCP, or Azure AI/ML Testing (Preferred) - Experience testing LLM applications or AI/ML systems - Knowledge of prompt engineering and model validation - Understanding of AI testing challenges (non-determinism, bias) - Familiarity with LangChain, LangGraph, or similar frameworks Leadership & Management - Proven track record of building QA teams (3+ people) - Experience establishing QA processes and standards from scratch - Strong mentorship and coaching skills - Excellent communication with technical and non-technical stakeholders - Experience with cross-functional collaboration (Product, Engineering, DevOps) - Startup experience preferred - ability to work in fast-paced environment Domain Knowledge - SaaS platform testing experience (multi-tenant architecture) - FinTech or financial services domain knowledge (preferred) - Compliance testing experience (SOC 2, GDPR, HIPAA) - Agile/Scrum methodology experience ## Nice to Have - ISTQB Advanced or similar certifications - AWS Certified Developer or Solutions Architect - Experience with chaos engineering and resilience testing - Knowledge of observability tools (Datadog, New Relic) - Open-source contributions to testing frameworks - Technical writing or conference speaking experience ________________________________________ Success Metrics First 90 Days - Assess current testing landscape and create comprehensive QA strategy - Implement API test automation framework with 50+ test cases - Set up E2E testing framework (Playwright/Cypress) with critical path coverage - Integrate automated tests into CI/CD pipeline - Hire 1-2 QA engineers - Establish test data management approach - Define quality metrics and KPIs First 6 Months - Achieve 70%+ API test coverage - Achieve 60%+ E2E test coverage for critical user flows - Build QA team to 3-4 engineers - Implement performance testing framework - Establish security testing practices (SAST/DAST) - Reduce production defects by 40% - Implement AI/ML testing strategy for LLM features - Achieve <10 minute test execution time in CI/CD First Year - Scale QA team to 5-8 engineers - Achieve 80%+ overall test coverage - Reduce production defect escape rate to <5% - Implement continuous testing with <15 minute feedback loops - Establish quality gates for all releases - Achieve 99.5%+ test pass rate - Build comprehensive test documentation and runbooks - Establish SOC 2 compliant testing processes ## About Phizenix ## Company Overview - **One-liner**: Phizenix provides workforce solutions for the AI era, including top tech talent placement, AI strategy & development, and AI workforce training. - **Entity Type**: Private (Pre-Seed / Bootstrapped – no public funding rounds disclosed) - **Headquarters**: Livermore, California, United States - **Founded**: 2025 - **Founders**: Khursheed Irani ## Core Business - **Primary industry**: IT Services and IT Consulting, AI Consulting, Workforce Staffing - **Target customers**: B2B – businesses seeking AI transformation, technical talent, and AI upskilling (mid-market to enterprise) - **Mission or purpose statement**: “We’re a team of tech founders, operators, and builders on a mission to help businesses thrive in an AI-native world. We believe AI should empower people, not replace them.” ## Products & Services - **[Talent Staffing]**: Executive recruiting, permanent hire, contract staffing and management for technical roles (e.g., AI/ML engineers, DevOps, firmware engineers). - **[AI Strategy & Development]**: Consulting to discover automation opportunities, design AI solutions, and build production AI systems. - **[AI Workforce Training]**: Live workshops and online certification programs to increase teams’ AI skills. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company, no funding rounds disclosed) - **Key Metric**: Not disclosed (revenue not public). Employees: 12 as of early 2026. - **Notable Investors/Partners**: No named investors; leadership includes Khursheed Irani (CEO), Raashid Mehasanewala (Head of Solutions), Jumana Ghadiali (VP Operations), Sanjay Dayal (Senior Technology Advisor), Aziz Ghadiali (Head of AI and Marketing). - **Growth Signals**: Headcount growth of +7.7% monthly (LinkedIn estimate); active job postings on Greenhouse (3 open roles as of 2026); LinkedIn follower count 3,587 with +3.9% monthly growth. ## Competitive Advantages - **AI-native focus**: Entire business model centered on AI transformation, not a general staffing firm. - **Silicon Valley presence**: HQ in Livermore, CA, with additional presence in India and Canada, allowing access to diverse talent pools. - **Experienced leadership team**: Founders and VPs bring 20+ years of combined experience in tech, operations, and AI. ## Strategic Focus - **Current priorities**: Expand AI consulting engagements, scale talent staffing pipeline, and grow the training certification arm. Emphasis on “AI-native future of work” – helping companies integrate AI alongside human teams rather than replacing them. ## Why Work Here - **Culture**: Small, mission-driven team focused on AI empowerment. Emphasis on “AI should empower people, not replace them.” - **Remote/Hybrid/Office**: Many roles are remote; some are hybrid in San Francisco/Bay Area (e.g., Director of Engineering – Shopify & ERP). Offices in Livermore, CA and Bengaluru, India. - **Notable perks/engineering culture**: Opportunity to work at the intersection of AI and business transformation; hands-on involvement in building AI solutions for clients; growth potential in a young, rapidly expanding company. ## Sources 1. [phizenix.com](https://www.phizenix.com/) 2. [phizenix.com/careers](https://www.phizenix.com/careers) 3. [phizenix.com/about](https://www.phizenix.com/about) 4. [LinkedIn/Phizenix](https://www.linkedin.com/company/phizenix) 5. 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