Role overview

Staff Engineer, QE

Requirements and responsibilities

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Who You Are:

  • 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
  • Great experience with Test Management Systems (e.g., Allure TestOps)
  • Excellent test design skills and experience in API testing
  • Experience with any UI test automation framework
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes)
  • Strong understanding of continuous delivery
  • Strong communication skills and ability to collaborate with stakeholders

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
  • Experience with AI/ML model evaluation and test data management for non-deterministic systems
  • 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.

Recruiting Scams and Fraud

  • AlphaSense never asks candidates to pay for job applications, equipment, or training.
  • All official communications will come from an @alpha-sense.com email address.
  • If you’re unsure about a job posting or recruiter, verify it on our Careers page.
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Browse stack
FocusQuality EngineeringRole area
Seniority signalSeniorCandidate level
StackAWS, Azure, CI/CDPrimary skills
Location1 accepted countryEligibility

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