Staff QE
Core
Define and execute the quality strategy for AlphaSense's company reference data (REDS), ensuring data correctness before it reaches customers via automation and AI-driven testing.
Role type
Staff Quality Engineer (Data Platform)
Builds
Automated quality checks, golden datasets, and scalable test frameworks for data ingestion, matching, and entity resolution workflows.
Domain
Financial data infrastructure, entity resolution, and AI-driven testing.
Deliverable
production ML models
Required skills
Quality engineering strategy, backend/data system testing, API and contract testing, data pipeline validation, event-driven/streaming interfaces (Kafka), Python/Kotlin/Java/TypeScript/JavaScript/Ruby, test design (unit/API/E2E), data correctness validation at scale, CI/CD, AI in engineering/testing, influence without authority.
Preferred skills
Data pipelines/operations tooling, E2E automation (Playwright), financial/company/reference data experience, AI/LLM output evaluation.
Technologies
Kafka, Playwright, Python, Kotlin, Java, TypeScript, JavaScript, Ruby.
Responsibilities
Define quality strategy and standards for company reference data; close test coverage gaps in data ingestion and matching workflows; build golden datasets and automated checks for data correctness; partner with developers on test planning for new features; use production signals to prioritize testing efforts; bring AI into test design and triage; coach engineers to raise the quality bar.
Seniority
Staff, hands-on IC with strategic influence.