Senior Test Engineer

ATPCO•Herndon, VA

1d•Remote

About The Position

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.

Requirements

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.

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.