Jobs Companies Phizenix QA Automation Engineer

Über diese QA Automation Engineer Stelle bei Phizenix

Phizenix · Hybrid · Hyderabad, INDIA (Hybrid)

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

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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

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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

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