Quality Assurance Engineer

About the Company

Our client is a fintech startup in NYC and London backed by some of the world’s leading investment banks, building a next-generation data brokerage platform.

About the Role

Our client is looking for a QA Engineer who takes ownership of product and platform quality end-to-end. This role sits close to backend engineering and DevOps and focuses on:

• Preventing regressions
• Improving test coverage
• Ensuring reliability across APIs, data pipelines, and workflows
• Making quality visible and measurable

You’ll help define how quality works at the Company, not just execute test cases.

Responsibilities

Quality Engineering (Core)

• Designing and maintaining automated test suites
• Writing and maintaining:
• API tests
• Integration tests
• End-to-end workflow tests
• Validating:
• Data ingestion flows
• File-based workflows (CSV / Parquet)
• Region-specific and customer-isolated data paths
• Testing error cases, edge cases, and failure modes
• Ensuring backward compatibility of APIs and schemas

Tooling & Process

• Improving test strategy across environments (UAT, staging, prod-like)
• Integrating tests into CI/CD pipelines
• Helping define release quality gates
• Working with engineers to reproduce, isolate, and fix issues
• Improving documentation around testing and known limitations

Collaboration

• Working closely with backend engineers and frontend engineers
• Reviewing feature designs from a testability perspective
• Participating in architecture discussions with a quality lens

Our Client's Tech Stack (Context)

• Backend: Python 3.11+, FastAPI
• Frontend: TypeScript, React
• Infra: AWS (ECS/Fargate, S3, RDS, CloudFront)
• Data: PostgreSQL, CSV / Parquet
• CI/CD: GitLab CI
• IaC: Terraform
• Testing: Pytest, Postman/Newman, custom scripts

You don’t need to know everything — but you should be comfortable navigating a modern backend stack.

Qualifications

Must-have

• Experience in QA / Quality Engineering for backend or API-driven systems
• Strong understanding of automated testing
• Ability to read and reason about backend code (Python or similar)
• Experience testing APIs (REST, auth, error handling)
• Good understanding of data validation and edge cases
• Structured, methodical approach to quality

Nice-to-have

• Experience with Python + Pytest
• Familiarity with CI/CD pipelines
• Experience testing data-heavy or file-based workflows
• Exposure to regulated environments (fintech, banking, healthcare)
• Understanding of cloud-based architectures (AWS)

What You’ll Like at our Client

• QA treated as an engineering discipline
• Early involvement in design and architecture
• No “throw it over the wall” culture
• High trust, low bureaucracy
• Real production impact
• Remote-friendly, flexible working style
• Competitive compensation based on experience

Equal Opportunity Statement

Our client is committed to diversity and inclusivity.