Staff Quality Engineer
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Job Location:
Monthly Salary:
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
Redica Systems is looking for a highly experienced Staff Quality Engineer to elevate software quality across our platform. This is a senior hands-on individual contributor role focused on defining quality strategy building scalable testing practices and partnering closely with Engineering Product and Data teams.
You will be a technical authority in quality engineering influencing how we design test and release software in a complex data-driven regulated environment. This role does not have people management responsibility but carries significant ownership autonomy and cross-functional influence.
Key Responsibilities
- Define implement and continuously improve scalable QA processes frameworks and best practices
- Design build and maintain automated testing solutions across frontend backend and data workflows
- Establish and track quality metrics to measure product health risk and release readiness
- Partner closely with Engineering Product and Data teams to embed quality early in the SDLC
- Lead test planning execution and sign-off for complex releases and high-impact initiatives
- Identify quality risks and proactively define mitigation strategies
- Act as a subject matter expert for system architecture quality tradeoffs and testing approaches
- Improve CI/CD pipelines through test automation and quality gates
- Review defects and failures to identify root causes and drive systemic improvements
- Mentor and guide other QA engineers through technical leadership code reviews and best-practice sharing
About You
- Tech Savvy: Advanced expertise in software quality engineering including test strategy automation and validation for complex data-driven and regulated systems. Deep hands-on experience with test automation frameworks and tooling and the ability to integrate quality signals into CI/CD pipelines to improve reliability and delivery velocity.
- Decision Quality: Strong ability to identify assess and mitigate quality and release risks across interconnected systems and workflows. Uses evidence metrics and judgment to inform release readiness decisions and clearly communicate tradeoffs and risk to stakeholders.
- Manages Complexity: Systems-level thinking with a deep understanding of how services integrations and data pipelines interact and impact overall quality. Anticipates downstream effects of changes and validates behavior across end-to-end workflows not just isolated components.
- Problem Solving: Proven ability to design effective scalable test strategies and investigate complex defects to uncover root causes. Translates findings into long-term improvements to test coverage system design and quality practices.
- Engaged: Not only shares our values but also possesses the essential competencies needed to thrive at Redica as outlined here: :
- 10 years of experience in software quality engineering or test automation for SaaS or web-based platforms
- Strong hands-on experience with test automation frameworks (e.g. Cypress Selenium) and integrating automated tests into CI/CD pipelines
- Experience testing complex data-driven systems including web applications and RESTful APIs
- Solid understanding of the software development lifecycle software engineering principles and SQA methodologies
- Proficiency in JavaScript and modern web technologies to support effective testing and defect diagnosis
- Experience defining or using quality metrics to assess product health and release readiness
- Experience validating AI-enabled features data pipelines or automated decision-making systems with attention to data quality and risk
- Familiarity with AI-driven approaches for test prioritization flaky test detection or defect trend analysis to improve release confidence.
- Exposure to using AI/GenAI tools to assist with test case creation test data generation or automation script optimization.
- Understanding of how to validate AI/ML-based features (if applicable) and awareness of best practices when using AI-assisted development tools.
- Bachelors degree in Computer Science Computer Engineering or equivalent practical experience
Additional Information :
Top pharmaceutical companies food manufacturers medtech companies and service firms from around the globe rely on Redica Systems to mine and process government inspection enforcement and registration data. This enables them to quantify risk signals from their suppliers identify market opportunities benchmark against peers and prepare for the latest inspection trends.
Our data and analytics have been cited by major media outlets including MSNBC The Wall Street Journal (WSJ) and The Boston Globe.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
About Company
Redica Systems is a SaaS start-up serving more than 200 customers within the life science sector, with a specific focus on Pharmaceuticals and MedTech. Our workforce is distributed globally, with headquarters in Pleasanton, CA. Redica's data analytics platform empowers companies to im ... View more
