# Staff QA Automation Engineer

**Company:** [Meeru AI Inc](https://jobs.workable.com/companies/uiLW53dncYSvATpHSz2v6c.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Other

[Apply for this job](https://jobs.workable.com/view/6387b4b9-c1d5-45a9-bdda-577604ec4981)

## 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.
-   **Strong coding in Python and JavaScript/TypeScript.** You write maintainable test code daily in both: PyTest for the backend, TypeScript for the frontend.
-   **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.