Lead QA Engineer, Contract
Overview of 66degrees
66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.
At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.
Overview of Role
As a Lead QA Engineer, you will be at the forefront of ensuring quality for high-impact mobile applications within our AI-driven ecosystem. This role requires a unique blend of deep manual mobile testing expertise and advanced automation skills specifically tailored for the iOS platform. You will lead the charge in implementing modern testing methodologies, integrating Swift and XCTest into our CI/CD pipelines, and pioneering the use of prompt-based AI testing tools to accelerate our delivery cycles. You aren't just a tester; you are a quality strategist who ensures that our clients' intelligent systems are robust, intuitive, and flawless
Responsibilities
- Strategy & Leadership: Define and execute a comprehensive mobile QA strategy that balances rigorous manual exploration with high-coverage automated testing.
- iOS Automation: Design, develop, and maintain scalable automated test suites using Swift and XCTest (XCUITest) to ensure the stability of native iOS applications.
- Manual Mobile Testing: Perform deep-dive manual testing on mobile devices, focusing on UI/UX, hardware integrations, and edge-case scenarios that automation may miss.
- AI-Driven Quality: Integrate prompt-based AI testing tools into the QA lifecycle to generate test cases, simulate user behaviors, and automate documentation.
- Collaboration: Partner closely with Developers, Product Managers, and AI Architects to identify quality risks early in the SDLC (Shift-Left).
- Mentorship: Lead and mentor junior QA engineers, establishing best practices for code reviews, bug reporting, and test data management.
- Reporting: Create detailed quality metrics and dashboards to provide stakeholders with clear visibility into product health and release readiness.
Qualifications
- Experience: 7+ years of professional experience in Software Quality Engineering, with at least 3 years in a leadership or senior capacity.
- Mobile Expertise: Expert-level knowledge of mobile-specific testing challenges (e.g., memory management, network throttling, battery consumption, and fragmentation).
- Technical Proficiency: Strong programming skills in Swift and deep hands-on experience with XCTest/XCUITest.
- AI Innovation: Demonstrated experience or high proficiency in using Generative AI and prompt engineering to enhance testing productivity (e.g., using AI to write scripts or analyze logs).
- CI/CD: Experience integrating mobile automation into CI/CD workflows (e.g., Bitrise, Jenkins, or GitHub Actions).
- Tooling: Familiarity with proxy tools (Charles Proxy, Proxyman), crash reporting (Firebase Crashlytics), and test management software.
- Education: A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required.
- Soft Skills: Exceptional communication skills and the ability to articulate complex technical quality issues to non-technical stakeholders.
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.
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