
Principal Quality Engineer
Oneiro Solutions • London, England, United Kingdom
Role & seniority
- Principal Quality Engineer
Stack/tools
Languages: TypeScript, JavaScript, Python, Java
Automation: Selenium, Playwright, TestNG
Architecture: cloud-native, distributed systems
- AI/testing tools familiarity; Agile CI/CD experience
Top 3 responsibilities
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Develop and implement a comprehensive testing strategy aligned with Oneiro’s goals
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Lead process improvement with emphasis on automation and AI tool integration; hands-on test design/execution
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Mentor engineers, establish KPIs, report testing progress/defect trends; collaborate with technical, non-technical stakeholders
Must-have skills
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Bachelor’s or Master’s in Computer Science, Math, or related STEM field
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Proven fintech/testing strategy design experience (complex software)
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Proficiency in TypeScript/JavaScript/Python/Java
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Strong automation framework experience (Selenium, Playwright, or TestNG)
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Familiarity with cloud-native architectures, distributed systems, and cloud-based testing
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Experience with AI tools in testing; Agile and CI/CD pipelines
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Self-motivated with ability to work with limited supervision
Nice-to-haves
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Deeper fintech domain knowledge (syndicated lending) or exposure to investment banking
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Advanced AI-assisted testing or DevOps enhancements beyond baseline
Location & work type
- Location not specified; remote/hybrid/work arrangements not stated
Full Description
About Oneiro Solutions Oneiro Solutions and its Digital Loan Exchange (DLX) platform brings to market an entirely digital syndicated loan administration platform. Built on the latest technology standards, our platform removes the need for faxes and emails and provides a seamless collaborative and transparent experience for borrowers, lenders and agents alike throughout the lifecycle of a corporate loan.
If working for an innovative fintech that aspires to be the global standard for the corporate and syndicated lending market (a multi-trillion dollar market) motivates you, then we want to talk to you.
The Role As the Principal Quality Engineer, you will be a pivotal member of our engineering team, responsible for driving the testing strategy and ensuring the highest standards of quality across the DLX platform. You will apply your problem-solving ability and technical skills to help financial organisations use DLX to drive a real impact on the world.
While being hands-on with testing activities, you will also take a leadership role in shaping our testing processes, promoting automation, reducing cycle time, and exploring the integration of AI tools. You will work autonomously and freely raise ideas in an open and supportive environment.
Key Responsibilities
Strategy & Architecture: Develop and implement a comprehensive testing strategy that aligns with the overall goals of Oneiro.
Innovation: Lead the way in defining and improving the testing process, with a focus on promoting automation and incorporating AI tools.
Hands-on Execution: Design and execute test plans for both manual and automated testing, ensuring the delivery of high-quality software.
Domain Expertise: Develop a strong understanding of the syndicated loan market to speak the customer's language and understand their real problems.
Leadership: Mentor and guide engineers, fostering a culture of continuous learning and high-quality standards.
Visibility: Establish key performance indicators (KPIs) and provide regular reports on testing progress and defect trends to stakeholders.
Collaboration: Work closely with technical and non-technical colleagues, as well as customers, to challenge assumptions and deliver expected solutions.
Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Math, or other STEM fields.
Fintech Experience: Proven experience in designing testing strategies for complex software systems, preferably within fintech or investment banking.
Technical Mastery: Expertise in TypeScript, JavaScript, Python, or Java. Strong experience with automation frameworks (e.g., Selenium, Playwright, or TestNG). Familiarity with cloud-native architectures, distributed systems, and cloud-based testing.
AI & DevOps: Familiarity with AI tools in testing and a solid understanding of Agile and CI/CD pipelines.
Mindset: Self-learner with a proactive attitude toward quality improvement and the ability to work with little supervision.