Staff QE

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

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

What You’ll Do:

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.

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.

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

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

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