QA Automation

This job description is for a QA Automation Engineer to work on a cloud-native platform modernization project. The successful candidate will be responsible for ensuring the quality, reliability, and data integrity of a new AWS-based system that replaces a legacy platform.

Responsibilities

Test Planning & Strategy: Develop a comprehensive delivery plan for onboarding data and decommissioning legacy files.

Automation Framework Development: Design, build, and maintain automated testing frameworks for both real-time and batch data processing capabilities. Implement automation to validate the provisioning of AWS infrastructure and its adherence to security and compliance standards.

Testing Execution: Conduct a variety of tests, including unit, integration, performance, and security testing. Perform DR drills to validate RTO/RPO objectives. Support user acceptance testing (UAT) and resolve any defects.

Data Validation & Reconciliation: Develop and validate a reconciliation system to ensure data integrity and parity between the legacy and new platforms. Verify that the new process runs in parallel with legacy files for 60 days as part of the migration strategy.

Quality Assurance: Verify that access controls, encryption, and audit logs are correctly implemented and reviewed with stakeholders. Ensure that logging, monitoring, and alerting are functional and thoroughly tested. Validate that CI/CD pipelines support automated deployment and rollback.

Documentation & Reporting: Deliver operational documentation, including test plans and test reports. Ensure all documentation is accessible and up to date, and that the handover checklist is signed off by engineering and support leads.

Required Skills & Qualifications

Automation Expertise: Proven experience in designing and implementing automated testing frameworks from scratch.

Cloud & DevOps: Hands-on experience with AWS and testing cloud-native applications. Familiarity with CI/CD pipelines and Infrastructure as Code (IaC) is crucial.

Data Testing: Strong experience with data validation, integrity checks, and building reconciliation systems to compare datasets from different platforms.

Technical Knowledge: Knowledge of real-time and batch data processing, and experience in testing secure and scalable data ingestion platforms.

Problem-Solving: Ability to analyze requirements and mappings for data ingestion and translate them into effective test cases. Experience with Agile methodologies and managing agile backlogs is a plus.

This is a FTE position with Photon - NO C2C, C2H or 1099, Onsite Location-Dallas TX