Senior Quality Engineer

AlphaSense

Senior Quality Engineer leading quality on FinData portfolio for market intelligence company AlphaSense. Defining quality standards and driving testing strategies in an AI-first operating model.

Posted 7/24/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $169,050 - $232,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and driving quality strategies for AI platforms, with a focus on automation, testing methodologies, and collaboration with engineering teams. Proficient in coaching and mentoring engineers on sustainable quality practices and ensuring alignment with quality metrics and standards.

Highest-signal resume keywords

AI Tools FluencyKotlin, Python, JavaScript, or Java ProficiencyTest Management Systems ExperienceUI Test Automation Frameworks ExperienceCloud Platforms and Containerization Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Testing MethodologiesAPI TestingTest Design SkillsContinuous Delivery UnderstandingAutomation Readiness

Soft Skills

Strong Communication SkillsCollaboration with StakeholdersCoaching and Mentoring

Tools & Technologies

Allure TestOpsPlaywrightAWSGCPAzureKubernetes

Industry Keywords

Quality by DesignAutomation by DefaultTest CoverageExploratory TestingShift-Left Practices

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaJavaScriptKotlinKubernetesPython

About the role

Key responsibilities & impact

Define and drive the long-term testing strategy and quality culture for the AI Platform, emphasizing "Quality by Design" and "Automation by Default."
Define quality metrics and coverage standards, partnering with product and engineering teams to ensure data-driven, measurable, and self-sustaining quality outcomes.
Grow test coverage through scalable, domain-specific automation and define/maintain complex test datasets, partnering with developers to ensure automation readiness.
Guide and support test planning for new features, ensuring alignment with acceptance criteria and coverage across unit, integration, and E2E layers.
Continuously improve and streamline testing processes; perform targeted exploratory testing to discover risks, inform automation, and validate model outputs.
Coach and mentor engineers on sustainable, scalable quality practices, serving as a strategic partner to ensure delivery standards are met through rigorous release gates.

Requirements

What you’ll need

Fluency with AI tools and a proven track record of enabling AI tools to accelerate software delivery and processes.
Deep knowledge in at least one of the following programming languages: Kotlin, Python, JavaScript, or Java
Proficiency in testing methodologies and deep understanding of the QA domain and theory
Experience with Test Management Systems (e.g., Allure TestOps)
Excellent test design skills and experience in API testing
Experience with UI test automation frameworks (e.g., Playwright)
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes)
Strong understanding of continuous delivery
Demonstrated ability to operate and set direction autonomously, without a dedicated QE team or manager in place
Experience coaching engineering teams on quality-by-design and shift-left practices, influencing without direct authority
Strong communication skills and ability to collaborate with stakeholders across multiple portfolios

Benefits

Comp & perks

You may also be offered equity, and a generous benefits program.