Job Type: Full-Time (40 hours per week)
Location: Remote
Schedule: Semi-flexible, typically 4 PM to 1 AM Manila Time
Company Description
WE ARE
A well-funded, innovative FinTech startup founded by Wall Street and Silicon Valley veterans. Combining decades of experience on trading floors, global financial markets, and cutting-edge AI technologies, we are building a groundbreaking trading platform designed to democratize complex investment opportunities for all investors.
YOU ARE
An ambitious, analytical, and detail-oriented Quality Engineer looking for a high-impact trajectory in your career. You are driven by responsibility and looking for more than an ordinary QA role—you want a seat at the table where your contributions directly influence the platform's success.
You operate with composure under tight deadlines and enjoy solving complex problems alongside top-tier technical and executive talent. Meticulous and curious, you take complete ownership of release quality to ensure every deployment is stable, precise, and production-ready.
THE JOB
As a Senior Release Quality Engineer, you will serve as a critical gatekeeper for our platform's quality, data integrity, and production readiness.
This is a highly visible position with direct executive exposure. Beyond standard validation, you will collaborate closely with cross-functional leads and executive leadership—including assisting with technical preparation for high-stakes product demonstrations.
While the environment is fast-paced and demands a strong ability to perform under pressure, it offers extraordinary professional growth: you will gain hands-on mastery in advanced FinTech and AI systems while working within an elite, high-performing engineering culture.
Key Responsibilities
- Executive & Stakeholder Alignment: Work directly with Engineering, Product, and executive leadership to ensure platform stability, including preparing environments and workflows for critical stakeholder demonstrations.
- Release Ownership: Own end-to-end validation across Development, QA, UAT, Pre-Production, and Production environments.
- Complex Data & Functional Validation: Conduct rigorous functional, regression, integration, and data testing, ensuring absolute accuracy in financial calculations, reporting, and automated workflows.
- Defect Management & Risk Mitigation: Identify, document, and prioritize technical discrepancies; communicate risk assessments clearly to both technical and executive stakeholders.
- Process Leadership: Establish standardized release gates, repeatable testing protocols, and validation frameworks to elevate platform-wide software quality.
- Continuous Improvement: Proactively audit and refine testing workflows, tools, and cross-team deployment practices.
Requirements
- Professional Drive: Proven track record of taking ownership, driving initiatives, and striving for continuous career advancement in high-accountability environments.
- Resilience Under Pressure: Ability to navigate fast-paced delivery schedules, shifting priorities, and critical deployment windows with focus and composure.
- Domain Experience: Bachelor's degree in Computer Science, Engineering, Information Technology, or 5+ years of dedicated experience in software quality engineering and release validation.
- Technical Mastery: Deep experience validating web applications, APIs, complex data integration workflows, and business logic across multi-tier deployment environments.
- Analytical Precision: Exceptional problem-solving skills with a strong ability to conduct root-cause analysis on data discrepancies and system edge cases.
- Stakeholder Communication: Outstanding verbal and written communication skills, with the confidence to articulate risks and present findings to executive leadership.
Preferred Qualifications
- Prior experience in FinTech, financial markets, real estate technology, or data-intensive domains.
- Familiarity with financial data structures, complex calculation validation, and executive dashboard reporting.
- Technical comfort with APIs, relational databases, SQL queries, and structured/unstructured datasets (JSON, XML).
- Exposure to test automation frameworks, CI/CD pipelines, and cloud platform environments.
- Familiarity with application performance monitoring, logging, and troubleshooting tools.
