QA Automation Engineer

Posted Yesterday
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Hyderabad, Telangana, IND
In-Office
Expert/Leader
Artificial Intelligence • Information Technology • Consulting
Talent Solutions for the AI Era
The Role
Leads the creation of the company’s QA function, including automation frameworks, testing strategy, quality processes, metrics, and team development. Owns API, frontend, backend, database, performance, security, CI/CD, and AI/ML testing for a financial SaaS platform. Builds and manages a QA team, establishes release quality gates, validates LLM behavior and responsible AI practices, coordinates compliance and security testing, and partners with Product, Engineering, and DevOps to improve reliability.
Summary Generated by Built In

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

Skills Required

  • 10+ years of QA or test automation experience
  • 3+ years of QA leadership experience
  • Expert-level API, UI, and backend test automation skills
  • Strong Python and JavaScript or TypeScript programming skills
  • Experience building test automation frameworks from scratch
  • Deep knowledge of functional, integration, end-to-end, and performance testing methodologies
  • Experience integrating automated tests into CI/CD pipelines
  • API testing experience with REST, GraphQL, and WebSockets
  • Backend testing experience with Python, FastAPI, PostgreSQL, and SQLAlchemy
  • Frontend testing experience with React, TypeScript, and Playwright or Cypress
  • Performance testing experience, including load, stress, and scalability testing
  • Security testing experience with SAST, DAST, and vulnerability scanning
  • Database testing experience using SQL, data validation, and database performance testing
  • Experience with AWS, GCP, or Azure cloud platforms
  • Experience building QA teams of at least three people
  • Experience establishing QA processes and standards from scratch
  • Strong mentorship, coaching, communication, and cross-functional collaboration skills
  • SaaS platform testing experience, including multi-tenant architectures
  • Compliance testing experience with SOC 2, GDPR, or HIPAA
  • Agile or Scrum methodology experience
  • Experience testing LLM applications or AI/ML systems
  • Knowledge of prompt engineering, model validation, non-determinism, and AI bias
  • Familiarity with LangChain, LangGraph, or similar frameworks
  • FinTech or financial services domain knowledge
  • Startup experience
  • ISTQB Advanced or similar certification
  • AWS Certified Developer or Solutions Architect certification
  • Experience with chaos engineering and resilience testing
  • Knowledge of observability tools such as Datadog or New Relic
  • Open-source contributions to testing frameworks
  • Technical writing or conference speaking experience
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The Company
HQ: Livermore, CA
9 Employees
Year Founded: 2025

What We Do

We provide Talent Solutions for the AI Era. Our mission is to connect businesses with exceptional talent and consulting solutions that align with your company’s culture and values. We offer AI consulting services to enable businesses in leveraging cutting-edge artificial intelligence. We help discover, design and deploy AI solutions that streamline operations, boost productivity, and unlock new growth opportunities. Our team of AI experts, strategists, and technology specialists work closely with organizations to integrate AI-driven solutions that align with their unique goals and challenges. From automation and data analytics to predictive modeling and AI-based customer experiences, we provide end-to-end support for businesses embarking on their AI transformation journey.

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