QA Engineer

Vaga não está no LinkedIn

🕒 Junho 17

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Neuroscale AI

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2024

🤖 Inteligência Artificial

Artificial Intelligence

A Neuroscale AI é uma empresa que atua no campo da inteligência artificial. Nenhum texto adicional da empresa foi fornecido, então esta descrição é baseada apenas no nome e implica um foco em tecnologias, pesquisas ou produtos de IA.

Descrição

• Perform a deep audit of the current QA setup across ARBI, Athena, frontend flows, backend services, APIs, data workflows, integrations, AI pipelines, and release processes. • Define a company-wide QA strategy across short-term stabilization, mid-term automation, and long-term quality engineering maturity. • Design a scalable test architecture using test pyramid principles, shift-left testing, smoke testing, regression testing, release gates, exploratory testing, and risk-based coverage. • Define clear QA responsibilities between developers, QA, product, design, customer success, and release owners. • Establish a practical quality operating rhythm: test plans, release checklists, defect triage, severity definitions, sign-off workflows, and quality metrics. • Validate implementation against requirements, designs, copy, acceptance criteria, user stories, and customer-specific workflows. • Test UI, UX, business logic, responsiveness, edge cases, error states, empty states, loading states, accessibility, and validation messages. • Perform exploratory, smoke, regression, and release-candidate testing before launches. • Validate recruiter workflows including candidate search, matching, scoring, resume parsing, outreach sequencing, scheduling, recruiter dashboards, candidate profiles, and ATS/CRM-style workflows. • Validate Athena workflows including resume support, interview preparation, rubric-based feedback, candidate assistance, AI-generated recommendations, and user-facing guidance. • Take ownership of automated frontend, API, integration, and end-to-end test coverage using Cypress, Playwright, Pytest, Postman/Newman, or equivalent tools. • Create reliable automated regression suites for critical ARBI and Athena workflows, including authentication, permissions, candidate pipelines, analytics, notifications, integrations, and admin experiences. • Integrate tests deeply into CI/CD pipelines so failures are visible, actionable, and tied to release confidence. • Improve test reliability, execution speed, data setup, fixture management, and maintainability. • Validate robust REST APIs, Python/FastAPI services, backend business logic, asynchronous workflows, and data-processing pipelines. • Create API and integration test coverage for imports, exports, webhooks, permissions, search, scoring, candidate data, customer-specific configuration, and workflow automation. • Create clear, structured, reproducible bug reports with screenshots/videos, environment details, severity, expected behavior, actual behavior, impact, and reproduction steps. • Retest fixed issues, validate root-cause resolution, and prevent regressions.

🎯 Requisitos

• Experience in Quality Assurance, Quality Engineering, Software Test Engineering, or a related product-quality role. • Experience testing SaaS web products, B2B platforms, workflow systems, data-heavy applications, or AI-enabled products. • Strong manual QA skills: exploratory testing, edge-case discovery, cross-browser validation, responsive web testing, clear bug reporting, and release sign-off. • Hands-on automated testing experience with Cypress, Playwright, Selenium, Pytest, Postman/Newman, RESTAssured, or similar tools. • Strong backend engineering fluency, especially with Python, FastAPI, REST APIs, PostgreSQL, Redis, OpenSearch, Celery, Temporal, containers, AWS services, and deployment pipelines. • Experience validating large-scale datasets, data pipelines, integrations, asynchronous workflows, search/indexing behavior, and workflow automation. • Experience integrating automated tests into CI/CD pipelines and improving reliability, speed, observability, and developer feedback loops. • Strong systems thinking, sound quality architecture judgment, and the ability to move from ambiguity to an executable QA roadmap. • Ability to operate in startup-style environments with high ownership, speed, accountability, and mentoring responsibility. • Ability and willingness to relocate to the Northern VA / Washington, DC area, or work closely with the team during Eastern Time business hours if remote.

🏖️ Benefícios

• Medical, dental, vision, PTO, and company-supported professional growth. • Support for relevant courses, conferences, certifications, technical books, and quality engineering communities. • Remote-first / hybrid flexibility with strong preference for Northern VA / DC-area alignment and occasional in-person collaboration.