Job Closed
This listing is no longer active.
AI-Native ERP
Senior Quality Assurance Engineer
Location
New York
Posted
101 days ago
Salary
$40K - $85K / year
Seniority
Senior
Job Description
Senior Quality Assurance Engineer
DualEntry
• Establish and lead QA practices for a new AI-first SaaS platform • Design and execute test strategies across UI, API, and integrations • Build and maintain test case management and reporting systems • Collaborate closely with founders, engineering, and product to embed QA across development • Own bug reporting, triage, and release validation • Lay the foundation for future automated testing and CI/CD integration • Champion user empathy and customer feedback to drive product reliability
Job Requirements
- 4+ years of experience in Software QA for SaaS/web applications
- Proven track record in high-growth environments
- Deep expertise in UI & API testing, bug reporting tools (Jira), and test management (TestRail)
- Familiarity with CI/CD, AWS, Docker/Kubernetes
- Experience with Selenium/Cypress; knowledge of performance and database testing
- Strong product intuition and testability thinking
- Excellent English communication (C1)
- Ability to work hard (we work most weekends), move fast, and thrive in high-velocity environments
Benefits
- Significant equity ownership in one of the top AI companies in the world
- 15 PTO days + 12 public holidays
- Visa sponsorship option for relocation to NYC within 2+ years
- Early-stage role with high autonomy and real long-term upside
- Enjoy a learning & development budget for courses, certifications, and language learning to keep growing your skills.
- Work where you feel most productive at co-working spaces or from your home office with support for setup, internet, and phone.
- Wellness perks and more to make your workday even better!!!!
Related Guides
Related Categories
Related Job Pages
More QA Engineer Jobs
Quality Assurance Team Lead
Policy ReporterProviding access to live medical, diagnostic and pharmaceutical policy updates.
• Lead the QA Team and serve as the main representative, including but not limited to: Support the priorities and strategic objectives of the organization by ensuring software quality aligns with business and customer needs • Foster a collaborative, accountable, and quality-focused team culture • Line manage members of the QA team, including monitoring performance and developing individual capability • Provide coaching, mentorship, and technical guidance to QA team members • Perform administrative leadership tasks such as managing workloads, coordinating PTO, and contributing to performance reviews • Ensure the QA team is equipped with appropriate tools and services by researching options, evaluating fit against team needs, and advocating for adoption in collaboration with PMO and Engineering leadership • Serve as a professional representative and subject matter expert advocate for the QA team in cross-departmental meetings with Engineering, Product, and the PMO • Oversee and maintain the relationship with external/offshore QA teams, including coordination of priorities, performance alignment, and ensure consistent quality standards across both onshore and offshore teams • Team Governance, including but not limited to: Track QA projects and testing tasks against team capacity and set priorities appropriately in conjunction with other teams • Set quality standards, testing expectations, and QA delivery KPIs • Track team performance and quality metrics; identifying and driving improvement areas as needed • Improve QA workflows, processes, and supporting documentation to enable the team to work more effectively and efficiently • Ensure consistent adherence to QA SOPs, testing standards, and documentation practices • In collaboration with Associate Director, Operations (PMO, QA) Help define opportunities for the QA team to contribute earlier and more effectively across the software development lifecycle • Advocate for QA considerations and standards in planning, estimation, and delivery discussions • Continuously evolve QA practices, tooling, and test coverage to support company goals and product growth • In accordance with being a player-coach role, the QA Team Lead will also be directly involved in executing QA work, including responsibility for tasks such as: Create, review, and execute detailed test plans and test cases • Review PRDs, mock-ups, and acceptance criteria to identify testable scenarios and edge cases. • Perform manual, regression, and exploratory testing across software releases • Design, implement, and maintain automated test frameworks and regression suites (e.g., Selenium, Playwright) to ensure reliable and scalable test coverage • Identify, document, and track defects, including clear reproduction steps and impact assessment • Follow defects through to resolution, including validation and re-testing of fixes • Conduct risk-based testing to ensure coverage of critical functionality and edge cases • Utilize testing and debugging tools such as Chrome DevTools, Postman, performance profilers, and related tooling • Collaborate closely with Engineering, Product, and the PMO to clarify requirements and validate deliverables • Stay current on QA best practices, tools, and methodologies relevant to modern software development.
Salesforce Consultant, Quality Assurance
NeuraFlashDigital Transformation from point-of-sale to point-of-service with AI, Salesforce.com & Amazon Web Services 🚀
• Strong background in Salesforce QA Automation projects, including web, API, voice, and chat-based applications • Hands-on experience in automation tools such as Playwright (with AI SDK), REST Assured, JMeter/K6, JUnit/TestNG (preferred), and working knowledge of Provar, Selenium WebDriver, Java, Python, Selenium Grid, Cucumber, Maven, and CI/CD pipeline integrations • Experience in leading or independently managing the complete QA lifecycle including Test Plan creation, Test Scenario design, Test Case/Script development, execution, and defect lifecycle management • Estimate, prioritize, plan, and coordinate testing activities across Agile, Waterfall, or Hybrid SDLC/STLC models • Ability to design and build automation frameworks from scratch, with strong expertise in automation architecture, reusable components, and regression suite development • Successfully delivered at least one Salesforce QA Automation implementation, including in-sprint automation and regression coverage • Experience in managing both Manual and Automation testing activities and identifying reusable test assets • Strong understanding of Salesforce solution design, architecture fundamentals, and business requirements validation • Experience or knowledge of Salesforce Agentforce Agents (Voice/Chat/Email/Slack/SMS) and testing of Agentic & Generative AI applications is a plus • Salesforce Agentforce Specialist Certification and Agentforce Legend rank; Salesforce Administrator certification is a big plus • Experience testing Salesforce Service Cloud Voice (SCV), MIAW, Live Agent, AWS Connect, AWS Voice & Chat Agents, and IVR telephony systems is preferred • Ability to leverage Generative and Agentic AI tools for QA optimization including test data generation, test case generation, status reporting, and other QA artifacts • Write and execute test cases based on requirements, maintain requirement traceability using tools such as Zephyr/TestRail/X-Ray, and log/manage defects in Jira • Support and coordinate System Integration Testing (SIT) and User Acceptance Testing (UAT), actively participate in defect triage, and guide customers through the UAT process
Salesforce Consultant, Quality Assurance
NeuraFlashDigital Transformation from point-of-sale to point-of-service with AI, Salesforce.com & Amazon Web Services 🚀
• Strong background in Salesforce QA Automation projects, including web, API, voice, and chat-based applications • Hands-on experience in automation tools such as Playwright (with AI SDK), REST Assured, JMeter/K6, JUnit/TestNG (preferred), and working knowledge of Provar, Selenium WebDriver, Java, Python, Selenium Grid, Cucumber, Maven, and CI/CD pipeline integrations • Experience in leading or independently managing the complete QA lifecycle including Test Plan creation, Test Scenario design, Test Case/Script development, execution, and defect lifecycle management • Estimate, prioritize, plan, and coordinate testing activities across Agile, Waterfall, or Hybrid SDLC/STLC models • Ability to design and build automation frameworks from scratch, with strong expertise in automation architecture, reusable components, and regression suite development • Successfully delivered at least one Salesforce QA Automation implementation, including in-sprint automation and regression coverage • Experience in managing both Manual and Automation testing activities and identifying reusable test assets • Strong understanding of Salesforce solution design, architecture fundamentals, and business requirements validation • Experience or knowledge of Salesforce Agentforce Agents (Voice/Chat/Email/Slack/SMS) and testing of Agentic & Generative AI applications is a plus • Salesforce Agentforce Specialist Certification and Agentforce Legend rank; Salesforce Administrator certification is a big plus • Experience testing Salesforce Service Cloud Voice (SCV), MIAW, Live Agent, AWS Connect, AWS Voice & Chat Agents, and IVR telephony systems is preferred • Ability to leverage Generative and Agentic AI tools for QA optimization including test data generation, test case generation, status reporting, and other QA artifacts • Write and execute test cases based on requirements, maintain requirement traceability using tools such as Zephyr/TestRail/X-Ray, and log/manage defects in Jira • Support and coordinate System Integration Testing (SIT) and User Acceptance Testing (UAT), actively participate in defect triage, and guide customers through the UAT process
• Proficiency in executing comprehensive web application penetration testing is required. • Understand and safely use various open-source penetration testing tools and when appropriate, emulating hacker tactics, techniques, procedures (TTPs). • Develop comprehensive and accurate reports and presentations for various consumers of penetration testing results. • Experience with security testing and configuration review of major cloud platforms (e.g., AWS, Azure) preferred. • Familiarity with cloud computing concepts and security models, including IaaS, PaaS, and serverless architectures. • Understanding and practical application of the MITRE ATT&CK framework for analyzing adversary TTPs. • Estimated workload is 3-4 assessments per quarter, consisting of 1-2-week assessments including report writing, maintaining a 70% billable utilization.



