Senior Quality Engineer

AlphaSense

Senior Quality Engineer leading quality standards for FinData portfolio in AI-centric ecosystems. Architecting robust engineering workflows to deliver market intelligence with precision at scale.

Posted 7/24/2026full-timeRemote • 🇨🇦 CanadaSenior💰 CA$132,250 - CA$181,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting quality standards for AI-centric ecosystems, with a strong focus on testing methodologies, API testing, and UI test automation. Proven ability to lead quality initiatives and coach engineering teams on quality-by-design practices in a fast-paced environment.

Highest-signal resume keywords

Fluency With AI ToolsProficiency In Testing MethodologiesExperience With Test Management SystemsExperience With Cloud PlatformsStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KotlinPythonJavaScriptJavaAPI TestingUI Test AutomationContinuous DeliveryPerformance EngineeringObservabilityTest Design

Soft Skills

CollaborationCoachingInfluencing Without Authority

Tools & Technologies

Allure TestOpsPlaywrightAWSGCPAzureKubernetesCI/CD ToolsOpenTelemetryGrafanaK6

Industry Keywords

Quality EngineeringAI-First Operating ModelMarket IntelligenceFinancial Data DomainQuality-By-DesignShift-Left Practices

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformGrafanaGraphQLJavaJavaScriptKotlinKubernetesPython

About the role

Key responsibilities & impact

As we transition into an AI-First Operating Model and move from exploration into execution at scale, we are seeking a seasoned Senior Quality Engineer to join our QE org and lead quality on FinData portfolio.
In this high-impact role, you will be accountable for architecting the quality standards that underpin our next generation of market intelligence.
Your remit is to define how we build, test, and operate in an AI-centric ecosystem.
You will lead quality initiatives that ensure our engineering workflows are robust, scalable, and AI-boosted.
You will be a key leader in establishing "AI-First" as our standard operating procedure, defining the quality gates that enable us to deliver state-of-the-art market intelligence with confidence and precision at scale.

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
Bonus points if you have:
Experience in setting up and configuring CI/CD tools and pipelines
Good understanding of GraphQL
Proven expertise in Performance Engineering (using k6 or similar) and Observability (OpenTelemetry/Grafana) to drive data-informed quality decisions
Financial data domain knowledge
Experience testing backend/data pipeline
BS/MS degree in a relevant technical discipline such as Computer Science, Engineering, or Information Technology.

Benefits

Comp & perks

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