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.