AlphaSense
Staff Engineer, QE
Vaga remota de Quality Engineering com fit claro de localização do candidato.
Publicada21 de jun. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Staff Engineer, QE
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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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