Job Overview
Location
United States
Job Type
Full-time
Category
Engineering
Date Posted
June 19, 2026
Full Job Description
📋 Description
- • Senior QA Engineer / Quality Engineering Lead responsible for owning quality assurance, testing strategy, product validation, and release readiness across ARBI and Athena platforms at NeuroScale Inc.
- • Perform deep audits of current QA setups, define company-wide QA strategy, design scalable test architecture using test pyramid principles, and establish quality operating rhythms including test plans, release checklists, and defect triage.
- • Work within a fast-moving startup at the intersection of GenAI, HR technology, recruiting operations, and enterprise AI deployment, collaborating with engineering, product, design, customer success, and founders to ensure reliable, auditable, and trustworthy product releases.
- • Develop expertise in validating AI workflows, building automated test systems, establishing quality metrics, and mentoring developers on testing best practices while becoming the central authority for product quality.
🎯 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 integrating automated tests into CI/CD pipelines and improving reliability, speed, observability, and developer feedback loops.
🏖️ Benefits
- • Competitive base salary commensurate with experience, seniority, location, and ability to own quality across the product.
- • Potential performance incentives and/or equity participation based on final offer structure.
- • 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.
Skills & Technologies
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About NeuroScale Inc.
NeuroScale provides cloud-based, HIPAA-compliant AI infrastructure and managed services for healthcare and life-science organizations. The platform automates ingestion, de-identification, labeling and scalable training of multimodal clinical data, offering pre-built FDA-compliant model templates, federated learning orchestration and continuous monitoring tools. Customers gain secure, on-demand GPU clusters, integrated MLOps pipelines and regulatory documentation to accelerate deployment of diagnostic, imaging and predictive models while meeting GDPR, SOC 2 and 21 CFR Part 11 requirements.
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