Location: Remote
Contract Type: B2B
Work Model: Fully Remote, Agile Teams<\/p>\n
What You'll Do
Define & Communicate QA Strategy Create quality strategies that align with project requirements and architecture.
Design Test Architectures Build robust, reusable automation frameworks for frontend, backend, API, and end-to-end testing.
Select & Integrate Tools Choose the right testing tools (Cypress, Playwright, Selenium, REST Assured, etc.) and integrate them with CI\/CD pipelines.
Collaborate Early Partner with architects, developers, and product managers to embed quality in design (shift-left).
Create & Review Test Cases Define test coverage strategies and acceptance criteria; provide feedback on developer-authored test cases.
Enable Developers Mentor developers to implement effective automated tests and quality gates.
Address Non-Functional Testing Ensure performance, security, and resilience testing are planned and executed.
Leverage AI in QA Pilot Agentic AI tools to help define, validate, and automate test cases.
Multi-Project Involvement Work strategically across several initiatives without owning day-to-day execution.
Drive Continuous Improvement Measure and evolve QA processes, tooling, and practices.<\/p>\n
Required Skills & Experience
7+ years in test automation, QA architecture, or quality engineering.
Hands-on expertise with automation frameworks for web (Playwright, Cypress, Selenium) and API (Postman, REST Assured).
Familiarity with performance testing tools (JMeter, k6).
Strong CI\/CD integration skills (GitHub Actions, GitLab CI, Azure DevOps, Jenkins).
Proficiency in at least one scripting\/programming language (JavaScript\/TypeScript, Python, C#, Java).
Strong understanding of microservices, distributed systems, and cloud environments (AWS\/Azure).
Proven experience designing quality strategies for complex solutions.
Curiosity about the development process eager to understand how software is designed, implemented, and deployed to ensure quality from the start.
Excellent communication skills for collaborating with both technical and non-technical stakeholders.<\/p>\n
Highly Desired Skill: AI-Driven Quality Engineering
Proven ability to leverage AI tools (e.g., LLM-based assistants, test generation frameworks) to enhance QA processes
Define and institutionalize AI-assisted QA methodologies, including guidelines, governance, and evaluation criteria
Apply AI effectively in test strategy design, test planning, and test case generation (functional, integration, and non-functional)
Use AI to accelerate risk analysis, coverage optimization, and defect prediction
Implement and oversee AI-assisted test automation (including self-healing tests, intelligent selectors, and code generation)
Evaluate and integrate AI tooling into the QA ecosystem (CI\/CD pipelines, test management, observability)
Ensure quality, traceability, and maintainability of AI-generated artifacts<\/p>\n
Soft Skills That Matter Here
Analytical Clarity Able to read requirements and architecture, then translate them into logical, complete test strategies.
Influence Without Authority Guide developers and teams toward better quality practices through collaboration, not command.
Multi-Project Agility Confident working across 23 projects at a time without losing focus on quality outcomes.
Experimentation Mindset Curious and proactive in testing new tools, including AI, to advance QA capabilities.<\/p>\n
Why Join Us
Shape the quality approach for mission-critical products.
Work with teams that believe quality is everyone's responsibility.
Lead with autonomy, influencing product and technical direction.
Experiment with cutting-edge QA approaches, including AI-assisted testing.
Fully remote, flexible schedule, minimal bureaucracy.
Join a supportive, professional culture where your voice matters.
If you're a QA leader who wants to shape testing strategies, empower developers, and explore new frontiers in automation and AI, we'd love to talk.<\/p>\n","protected":false},"excerpt":{"rendered":"
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