QA Engineer

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🕒 June 17

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Neuroscale AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🤖 Artificial Intelligence

Artificial Intelligence

Neuroscale AI is a company working in artificial intelligence. No additional company text was provided, so this description is based only on the name and implies a focus on AI technologies, research, or products.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.