Staff Qa Automation Engineer

Meeru Ai Inc; Argentina; On-site; ARS 2,500,000 - 4,200,000; Full time

Job summary

Meeru AI is seeking a senior QA leader to drive test automation across API, UI and backend tests for a SaaS platform. You will own automation frameworks, mentor engineers, and ensure high-quality releases in a cloud-native environment.

You will collaborate with Product and DevOps in an Agile setup, implement robust CI/CD and maintain data integrity across multi-tenant deployments.

Qualifications

• 8+ years in QA and test automation, including 3+ years leading people.
• You've built automation frameworks from scratch across API, UI and backend tests.
• You've implemented API testing for REST, GraphQL and WebSockets with contract, negative and auth testing.
• You've implemented end-to-end UI testing with Playwright or Cypress for React/Next.js apps.
• You've tested Python/FastAPI services and PostgreSQL with SQLAlchemy and data validation.
• You've wired tests into CI/CD (GitHub Actions/Jenkins/GitLab CI) andDocker/Kubernetes environments.
• You've designed performance/load tests with k6/Locust/JMeter and front-end checks with Lighthouse.
• You've integrated security testing (SAST/DAST) in the pipeline (SonarQube, Snyk, OWASP ZAP).
• You've tested multi-tenant SaaS and proven data isolation.
• You've supported SOC 2, GDPR or HIPAA requirements with tests and evidence.
• Cloud experience with AWS/GCP/Azure is a plus.
• You've defined QA standards and KPIs, release procedures, and runbooks.

Skills

QA leadership

Automation framework

API testing

UI testing

Backend testing

Database testing

CI/CD integration

Performance testing

Security testing

Multi-tenant SaaS

Compliance testing

Cloud experience

Communication

Tools

PyTest

Postman

REST Assured

Playwright

Cypress

Docker

Kubernetes

k6

Locust

JMeter

SonarQube

Snyk

Job description

Meeru AI is building an AI-native platform that transforms how finance and accounting teams operate. We connect to enterprise financial systems — ERPs, CRMs, billing platforms, HRIS — and apply machine learning to turn fragmented operational data into grounded, auditable intelligence for CFOs, controllers, and FP&A leaders.

We deploy on customer terms — SaaS multi-tenant, SaaS single-tenant, and on-premises — across AWS, Azure, and GCP. Our customers are Fortune 500 finance teams who require data isolation, auditability, and compliance.

Requirements

• 8+ years in QA and test automation, including 3+ years leading people. You've hired, run 1:1s and performance reviews, and mentored QA engineers, not just led a project.
• You've built automation frameworks from scratch. You've taken a product from little or no automation to a working framework across API, UI and backend tests, and you can explain the design choices.
• Deep API testing experience. REST, GraphQL and WebSockets, using tools like PyTest, Postman or REST Assured, including contract, negative and auth testing.
• Modern end-to-end UI testing. Playwright or Cypress against React/Next.js apps, with reliable, low-flake suites covering critical user journeys.
• Backend and database testing. Testing Python/FastAPI services and PostgreSQL (SQLAlchemy), with SQL-based data validation and attention to database performance.
• CI/CD integration. You've wired tests into GitHub Actions, Jenkins or GitLab CI, set up deployment quality gates, and worked with Docker/Kubernetes environments.
• Performance and load testing. You've designed load, stress and scalability tests with tools like k6, Locust or JMeter, plus front-end checks like Lighthouse.
• Security testing. SAST/DAST in the pipeline (e.g. SonarQube, Snyk, OWASP ZAP, Burp Suite), and testing authentication, role-based access and data encryption.
• Multi-tenant SaaS experience. You've tested platforms where many customers share infrastructure and know how to prove one tenant can't see another's data.
• Compliance-driven testing. You've supported SOC 2, GDPR or HIPAA requirements with test processes and evidence.
• Cloud experience. AWS preferred (EC2, ECS, EKS, Lambda); GCP or Azure also welcome.
• Quality leadership and process. You've defined QA standards, metrics and KPIs, release and regression procedures, and runbooks, and you report quality clearly to leadership.
• Clear communication and collaboration. You work closely with Product on acceptance criteria, Engineering on testability and DevOps on releases, explaining risk to technical and non-technical people alike, in an Agile/Scrum setup.

Nice-to-haves

• Testing AI/LLM applications. You've tested LLM features or agentic workflows, can handle non-deterministic output, validate prompts and model outputs, and check for bias and fairness. LangChain/LangGraph familiarity is a plus.
• FinTech or financial services background. Experience where accuracy, audit trails and reliability around money matter.
• Startup experience. You're comfortable building from zero in a fast-moving, ambiguous environment.
• Observability and production monitoring. Datadog, CloudWatch, Prometheus or New Relic, including monitoring AI behavior in production.
• Chaos engineering and resilience testing.
• Test management tools. TestRail, Zephyr or Jira-based test management.
• Certifications. ISTQB Advanced (or similar), AWS Certified Developer or Solutions Architect.
• Community involvement. Open-source contributions to testing frameworks, technical writing or conference talks.