As a Senior Test Engineer at ATPCO (3Victors) you will play a critical role in ensuring the quality reliability and correctness of data-intensive analytics platforms and software products. Working closely with developers data engineers and data scientists you will design implement and execute automated test strategies that support rapid delivery while maintaining high quality standards.
This role operates with a startup mindset within an enterprise environment requiring strong ownership adaptability and close collaboration across engineering and data science teams. Your work directly impacts the accuracy performance and trustworthiness of systems used across the organization.
Roles and Responsibilities :
Automation Strategy & Framework Development
- Design develop and maintain robust scalable and reusable automation frameworks for backend services APIs and data-driven systems.
- Implement and optimize automated test scripts for functional regression integration and data-quality testing.
- Research evaluate and integrate modern testing tools and technologies to improve automation efficiency reliability and test coverage.
- Establish and enforce best practices for automation testing including coding standards test design patterns and continuous testing practices with an emphasis on backend and data validation.
Test Planning & Execution:
- Collaborate with development operations and product teams to define test plans test cases and automation scripts for backend features APIs data pipelines and analytics workflows.
- Ensure all test cases and automation scripts adhere to best practices quality standards and long-term maintainability guidelines.
- Execute analyze and interpret automated test results providing clear actionable feedback to development data and platform teams.
Collaboration & Reporting:
- Partner with cross-functional teams to understand business requirements technical specifications and quality standards.
- Collaborate closely with product managers software engineers data engineers and data scientists to ensure smooth implementation of automated testing solutions.
- Provide concise and meaningful reporting on testing progress test coverage defect trends data-quality metrics and overall system health.
Performance Testing:
- Develop automated performance load and stress testing frameworks to validate scalability and reliability.
- Integrate k6-based API performance and load testing suites into CI/CD pipelines.
- Conduct automated data-quality validation schema verification and ML model consistency checks across environments.
Continuous Improvement:
- Drive continuous improvement initiatives by evaluating existing testing processes identifying inefficiencies and implementing solutions to enhance speed reliability and coverage.
- Stay current with industry trends emerging tools and best practices in test automation data testing and quality engineering.
Ideal Candidate :
- Proven experience designing and implementing automation frameworks for backend services APIs and data-centric systems.
- Strong programming skills in JavaScript and Python with a focus on clean maintainable and testable code.
- Strong SQL skills for validating backend data flows transformations and data integrity.
- Hands-on experience with data-quality testing methodologies and automated data validation workflows.
- Working knowledge of AI/ML concepts including model-output validation data drift detection and analytics accuracy checks.
- Experience using k6 for API performance load and stress testing.
- Experience using Playwright for API-level testing and end-to-end (E2E) UI automation when required.
- Expertise with GitHub Actions for building orchestrating and optimizing CI/CD pipelines for automated testing.
- Proficiency with version control systems such as Git and defect tracking tools like JIRA.
- Deep experience with AWS services (S3 Lambda API Gateway CloudWatch EventBridge) to support automation infrastructure integration and data validation.
Salary Range: USD $102107 - 120827
*The disclosed range estimate has not been adjusted for applicable geographic differential associated with the United States*
Additional Information :
At ATPCO we are deeply committed to diversity equity and inclusion. Our supportive policies promote work-life balance through flexible work arrangements and we cultivate a workplace where every employee feels valued respected and a true sense of belonging.
We consider qualified applicants for employment without regard to race gender age color religion national origin citizenship status marital status disability sexual orientation protected military/veteran status gender identity or expression genetic information marital status medical condition or any other legally protected factor
All your information will be kept confidential according to EEO guidelines.
Remote Work :
Yes
Employment Type :
Full-time
As a Senior Test Engineer at ATPCO (3Victors) you will play a critical role in ensuring the quality reliability and correctness of data-intensive analytics platforms and software products. Working closely with developers data engineers and data scientists you will design implement and execute automa...
As a Senior Test Engineer at ATPCO (3Victors) you will play a critical role in ensuring the quality reliability and correctness of data-intensive analytics platforms and software products. Working closely with developers data engineers and data scientists you will design implement and execute automated test strategies that support rapid delivery while maintaining high quality standards.
This role operates with a startup mindset within an enterprise environment requiring strong ownership adaptability and close collaboration across engineering and data science teams. Your work directly impacts the accuracy performance and trustworthiness of systems used across the organization.
Roles and Responsibilities :
Automation Strategy & Framework Development
- Design develop and maintain robust scalable and reusable automation frameworks for backend services APIs and data-driven systems.
- Implement and optimize automated test scripts for functional regression integration and data-quality testing.
- Research evaluate and integrate modern testing tools and technologies to improve automation efficiency reliability and test coverage.
- Establish and enforce best practices for automation testing including coding standards test design patterns and continuous testing practices with an emphasis on backend and data validation.
Test Planning & Execution:
- Collaborate with development operations and product teams to define test plans test cases and automation scripts for backend features APIs data pipelines and analytics workflows.
- Ensure all test cases and automation scripts adhere to best practices quality standards and long-term maintainability guidelines.
- Execute analyze and interpret automated test results providing clear actionable feedback to development data and platform teams.
Collaboration & Reporting:
- Partner with cross-functional teams to understand business requirements technical specifications and quality standards.
- Collaborate closely with product managers software engineers data engineers and data scientists to ensure smooth implementation of automated testing solutions.
- Provide concise and meaningful reporting on testing progress test coverage defect trends data-quality metrics and overall system health.
Performance Testing:
- Develop automated performance load and stress testing frameworks to validate scalability and reliability.
- Integrate k6-based API performance and load testing suites into CI/CD pipelines.
- Conduct automated data-quality validation schema verification and ML model consistency checks across environments.
Continuous Improvement:
- Drive continuous improvement initiatives by evaluating existing testing processes identifying inefficiencies and implementing solutions to enhance speed reliability and coverage.
- Stay current with industry trends emerging tools and best practices in test automation data testing and quality engineering.
Ideal Candidate :
- Proven experience designing and implementing automation frameworks for backend services APIs and data-centric systems.
- Strong programming skills in JavaScript and Python with a focus on clean maintainable and testable code.
- Strong SQL skills for validating backend data flows transformations and data integrity.
- Hands-on experience with data-quality testing methodologies and automated data validation workflows.
- Working knowledge of AI/ML concepts including model-output validation data drift detection and analytics accuracy checks.
- Experience using k6 for API performance load and stress testing.
- Experience using Playwright for API-level testing and end-to-end (E2E) UI automation when required.
- Expertise with GitHub Actions for building orchestrating and optimizing CI/CD pipelines for automated testing.
- Proficiency with version control systems such as Git and defect tracking tools like JIRA.
- Deep experience with AWS services (S3 Lambda API Gateway CloudWatch EventBridge) to support automation infrastructure integration and data validation.
Salary Range: USD $102107 - 120827
*The disclosed range estimate has not been adjusted for applicable geographic differential associated with the United States*
Additional Information :
At ATPCO we are deeply committed to diversity equity and inclusion. Our supportive policies promote work-life balance through flexible work arrangements and we cultivate a workplace where every employee feels valued respected and a true sense of belonging.
We consider qualified applicants for employment without regard to race gender age color religion national origin citizenship status marital status disability sexual orientation protected military/veteran status gender identity or expression genetic information marital status medical condition or any other legally protected factor
All your information will be kept confidential according to EEO guidelines.
Remote Work :
Yes
Employment Type :
Full-time
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