Overview
A fast-growing innovation-driven technology organization specializing in digital transformation AI and advanced data solutions is seeking a Senior Software Quality Assurance Engineer. This role goes beyond traditional QA - youll be responsible for building scalable quality frameworks ensuring data integrity and embedding quality across the entire engineering lifecycle.
If youre strong in Python-based automation performance testing and data validation in high-compliance environments this is a high-impact opportunity.
Key Responsibilities
- End-to-End Data Validation
Design and execute test strategies covering complex data pipelines - from data ingestion to end-user insights. - Automation Framework Development
Build and scale automation frameworks using Playwright (Web) and Appium (Mobile) with Python. - Compliance & Safety Assurance
Ensure outputs meet strict safety and regulatory standards including validation of system-generated insights and labeling accuracy. - Data Privacy & Governance
Validate consent mechanisms access controls and data handling practices including user rights such as data withdrawal. - Performance & Resilience Testing
Conduct load testing using JMeter and support chaos engineering initiatives to ensure system reliability under failure scenarios. - Regression & Data Integrity Testing
Perform targeted regression testing to maintain consistency and accuracy across evolving data pipelines.
Requirements
- Strong Python & SQL Expertise
Hands-on experience in Python automation and deep data validation using SQL. - Relevant Experience
57 years in QA/QE roles ideally within high-compliance or data-sensitive environments (e.g. health-tech fintech or similar domains). - Automation Skills
Proven experience building frameworks using Playwright and Appium. - System & Data Understanding
Familiarity with data pipelines sensor data or distributed systems is a strong advantage. - Security Awareness
Working knowledge of OWASP Top 10 and data privacy principles. - Tooling Experience
Experience with QMetry (test management) and JMeter (performance testing). - Attention to Detail
Strong analytical mindset with a focus on accuracy reliability and quality. - Collaboration
Ability to work closely with engineering and DevOps teams to integrate QA into CI/CD pipelines.
Overview A fast-growing innovation-driven technology organization specializing in digital transformation AI and advanced data solutions is seeking a Senior Software Quality Assurance Engineer. This role goes beyond traditional QA - youll be responsible for building scalable quality frameworks ensuri...
Overview
A fast-growing innovation-driven technology organization specializing in digital transformation AI and advanced data solutions is seeking a Senior Software Quality Assurance Engineer. This role goes beyond traditional QA - youll be responsible for building scalable quality frameworks ensuring data integrity and embedding quality across the entire engineering lifecycle.
If youre strong in Python-based automation performance testing and data validation in high-compliance environments this is a high-impact opportunity.
Key Responsibilities
- End-to-End Data Validation
Design and execute test strategies covering complex data pipelines - from data ingestion to end-user insights. - Automation Framework Development
Build and scale automation frameworks using Playwright (Web) and Appium (Mobile) with Python. - Compliance & Safety Assurance
Ensure outputs meet strict safety and regulatory standards including validation of system-generated insights and labeling accuracy. - Data Privacy & Governance
Validate consent mechanisms access controls and data handling practices including user rights such as data withdrawal. - Performance & Resilience Testing
Conduct load testing using JMeter and support chaos engineering initiatives to ensure system reliability under failure scenarios. - Regression & Data Integrity Testing
Perform targeted regression testing to maintain consistency and accuracy across evolving data pipelines.
Requirements
- Strong Python & SQL Expertise
Hands-on experience in Python automation and deep data validation using SQL. - Relevant Experience
57 years in QA/QE roles ideally within high-compliance or data-sensitive environments (e.g. health-tech fintech or similar domains). - Automation Skills
Proven experience building frameworks using Playwright and Appium. - System & Data Understanding
Familiarity with data pipelines sensor data or distributed systems is a strong advantage. - Security Awareness
Working knowledge of OWASP Top 10 and data privacy principles. - Tooling Experience
Experience with QMetry (test management) and JMeter (performance testing). - Attention to Detail
Strong analytical mindset with a focus on accuracy reliability and quality. - Collaboration
Ability to work closely with engineering and DevOps teams to integrate QA into CI/CD pipelines.
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