Test Automation Engineer

Position Overview

The Test Engineer will support a large-scale government agency initiative to modernize a complex, interdependent data intensive system of systems transitioning from legacy on-premise platforms to AWS cloud-native architectures.

This is not a traditional QA role. It is a cloud-native test automation engineering position responsible for ensuring functional equivalence, data integrity, and automated regression validation during migration from legacy technologies (e.g., SAS-based and file-driven systems) to modern Python-based serverless and microservices AWS Cloud Native applications.

The Test Engineer will work as part of an Agile Scrum Team and collaborate with other Test Engineers in parallel work streams to ensure the system of systems is validated end-to-end. This includes coordinated regression testing, integration validation, and synchronized release readiness across interconnected platforms.

• Design and execute parallel validation frameworks comparing legacy system outputs to modernized AWS Cloud Native outputs.
• Develop automated regression test suites using Python, Selenium and other automation frameworks.
• Validate:
  • Business logic equivalence
  • Data transformation accuracy
  • Aggregation and computational correctness
  • End-to-end workflow outputs
• Validate high-volume, data-intensive application behavior under realistic production load conditions.
• Collaborate with SMEs to define statistical and functional acceptance criteria.

• Participate in Sprint Planning, Daily Standups, Reviews, and Retrospectives.
• Embed automated testing into the Definition of Done.
• Partner closely with developers to shift-left testing practices and collaborate to establish test driven development.
• Support continuous validation across sprint increments.

• Design and implement automated testing frameworks integrated into CI/CD pipelines (Git Lab or equivalent).
• Develop robust test automation using:
  • Python (expert-level required)
  • Selenium (expert-level required)
  • Additional scripting/automation tools as appropriate (e.g., PyTest, Behave, Robot Framework, Bash, Power Shell, etc).
• Implement automated unit, integration, regression, and system-level testing.
• Enable push-button regression validation across interconnected subsystems.
• Integrate automated security and compliance checks into release pipelines.
• Validate AWS Cloud Native workloads including serverless, containerized, and batch processing architectures.

• Collaborate with Test Engineers across work streams to validate:
  • End-to-end data flow across processing, analytics, and dissemination systems
  • API integrations, event-driven triggers, and orchestration mechanisms
  • Sequencing and dependency alignment across modernization phases
• Support coordinated integration testing for large-scale system-of-systems deployments.
• Validate automated workflow gating and orchestration logic replacing manual triggers.

• Develop automated UI and workflow testing using Selenium.
• Validate configuration-driven applications and workflow interfaces.
• Test analytical dashboards and reporting platforms (e.g., Amazon Quick Sight, QJS, or equivalent BI platforms).
• Validate performance, accessibility, and browser compatibility.

• Develop and maintain:
  • Synthetic datasets
  • Golden regression datasets
  • High-volume scalability datasets
• Automate validation of ingestion pipelines (API-driven, database-driven, batch-based).
• Validate database integrity (Aurora/Postgres or equivalent).
• Support test data staging and masking in AWS environments.

• Maintain requirements-to-test-case traceability.
• Produce automated test artifacts supporting architecture review and security authorization processes.
• Participate in structured defect triage and release readiness reviews.

• 5+ years of experience in automated testing and quality engineering.
• Expert-level proficiency in Python.
• Expert-level proficiency in Selenium and UI automation frameworks.
• Strong…