Staff QA Automation Engineer

Meeru AI Inc

11d

About The Position

Meeru AI is seeking a Staff QA Automation Engineer to build and own the major subsystems of the data foundation, including pipelines, connectors, and curated models that feed the platform's analytics and AI layers. This role involves taking data architecture and standards and turning them into robust, production-grade systems. The engineer will own significant pieces of the platform end-to-end, including complex transformations over the warehouse, source integrations for new customer systems, and the reconciliation and lineage that prove the curated model ties back to source. This is a hands-on, high-ownership engineering role with a clear path toward Senior Staff.

Requirements

8+ years in QA and test automation
3+ years leading people, including hiring, running 1:1s, and performance reviews
Experience building automation frameworks from scratch
Experience taking a product from little or no automation to a working framework across API, UI, and backend tests
Strong coding in Python and JavaScript/TypeScript
Daily use of PyTest for backend and TypeScript for frontend testing
Deep API testing experience (REST, GraphQL, WebSockets) using tools like PyTest, Postman, or REST Assured
Experience with modern end-to-end UI testing (Playwright or Cypress)
Experience with React/Next.js apps
Backend and database testing experience with Python/FastAPI and PostgreSQL (SQLAlchemy)
Experience with SQL-based data validation
CI/CD integration experience (GitHub Actions, Jenkins, GitLab CI)
Experience with Docker/Kubernetes environments
Experience with performance and load testing tools (k6, Locust, JMeter)
Experience with front-end performance checks (Lighthouse)
Experience with security testing tools (SAST/DAST, SonarQube, Snyk, OWASP ZAP, Burp Suite)
Multi-tenant SaaS experience
Compliance-driven testing experience (SOC 2, GDPR, HIPAA)
Cloud experience (AWS preferred; GCP or Azure also welcome)
Quality leadership and process definition experience (QA standards, metrics, KPIs, release/regression procedures, runbooks)
Clear communication and collaboration skills
Experience working in an Agile/Scrum setup

Nice To Haves

Testing AI/LLM applications, including handling non-deterministic output, validating prompts and model outputs, and checking for bias and fairness
Familiarity with LangChain/LangGraph
FinTech or financial services background
Startup experience
Experience with observability and production monitoring tools (Datadog, CloudWatch, Prometheus, New Relic)
Experience with chaos engineering and resilience testing
Experience with test management tools (TestRail, Zephyr, Jira-based test management)
ISTQB Advanced certification (or similar)
AWS Certified Developer or Solutions Architect certification
Community involvement (open-source contributions, technical writing, conference talks)

Responsibilities

Build and own major pipelines and integrations end-to-end, including their performance, reliability, and cost.
Ensure correctness through reconciliation and lineage work to make the platform auditable next to real financials.
Develop integrations as configurations against a shared framework.
Test pipelines that run inside customer clouds with strong isolation and no data egress.
Lead QA engineers, including hiring, running 1:1s, performance reviews, and mentoring.
Build automation frameworks from scratch.
Develop a working automation framework across API, UI, and backend tests.
Perform deep API testing, including REST, GraphQL, and WebSockets, covering contract, negative, and auth testing.
Implement modern end-to-end UI testing using Playwright or Cypress against React/Next.js apps.
Conduct backend and database testing for Python/FastAPI services and PostgreSQL, including SQL-based data validation and performance checks.
Integrate tests into CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI) and set up deployment quality gates.
Design and execute performance and load tests using tools like k6, Locust, or JMeter, and front-end checks like Lighthouse.
Implement security testing (SAST/DAST) in the pipeline and test authentication, role-based access, and data encryption.
Test multi-tenant SaaS platforms, ensuring tenant data isolation.
Support compliance requirements (SOC 2, GDPR, HIPAA) with test processes and evidence.
Define QA standards, metrics, KPIs, release and regression procedures, and runbooks.
Report quality clearly to leadership.
Collaborate with Product on acceptance criteria, Engineering on testability, and DevOps on releases.
Explain technical risks to both technical and non-technical audiences within an Agile/Scrum setup.