Staff QA Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the quality strategy for AlphaSense's company reference data, prioritizing quality by design and automation as a default practice.

• Address test coverage deficiencies in provider-data ingestion, record matching, identifier stability, and the delivery of entity data and change events.

• Establish standards for data correctness and create golden datasets, labeled samples, and automated validation checks.

• Assess match precision and recall, including the trade-offs of false merges and false splits.

• Define quality metrics and release standards to ensure confident deployments.

• Develop and enhance scalable automation across data, API, and event-driven interfaces.

• Determine the appropriate testing layers: unit, component, API, and end-to-end.

• Anticipate provider-data drift, schema modifications, and late or conflicting records; create regression coverage accordingly.

• Collaborate with developers on test planning for new features.

• Leverage production signals to prioritize the mitigation of customer risk.

• Integrate AI into the design, maintenance, and triage of tests.

• Mentor engineers and shape quality practices across various teams.

⛳️ Requirements

• A minimum of 8 years of practical experience in quality engineering, including the formulation of strategies for complex backend or data platforms.

• Proven experience in designing and automating tests for backend and data systems, incorporating API and contract testing, data pipeline validation, and event-driven or streaming interfaces (e.g., Kafka).

• Proficiency in at least one programming language, such as Python, Kotlin/Java, TypeScript/JavaScript, or Ruby.

• Ability to navigate and work within unfamiliar codebases.

• Extensive knowledge in test design across unit, API, and end-to-end testing layers.

• Experience in validating data correctness on a large scale, preferably in matching, identity, or pipeline-driven systems.

• Strong understanding of continuous delivery, CI/CD processes, and release quality gates.

• Proven ability to utilize AI to enhance engineering and testing efficiency.

• Capability to independently set direction and influence others without formal authority.

• Excellent and confident communication skills with both technical and business stakeholders.

• Bonus: Experience with data pipelines or data-operations tools.

• Bonus: Practical end-to-end automation experience using Playwright.

• Bonus: Familiarity with financial, company, or reference data.

• Bonus: Experience in evaluating AI or LLM outputs.

• A BS/MS in a relevant technical field is a plus.

🏝️ Benefits

• Competitive compensation package.

• Lunch and recreational benefits.

• Occupational health care.

• Equity may be offered.

• Generous benefits program.