This is a pretty special opportunity to lead and initiate automated test development, data validation, and CI/CD quality gates. The engineer will be embedded into one of the software development teams and is expected to help teams detect defects earlier, validate healthcare EDI output reliably, and improve release confidence through repeatable, auditable testing practices. Ideally, this person will come from a software engineering background that moved into Automation.
The client is looking for someone that would consider becoming an FTE within 12 months that wouldn't require any form of sponsorship. Fully Remote.
· Perform manual and automated quality validation across all products, services, EDI workflows, and production-aligned environments.
· Create, maintain, and improve automated test scripts using Selenium, Appium, or comparable testing frameworks.
· Perform manual testing for Agile user stories and verify that acceptance criteria, functional requirements, and expected results are met.
· Execute functional, regression, integration, smoke, API, file-processing, and output-comparison testing accurately and reliably.
· Develop automated regression and comparison tests, including validation of 837 transaction output against approved baselines and expected changes.
· Navigate and validate multiple testing environments, including development, pre-QA, QA, post-QA, and production-aligned environments.
· Create SQL queries to prepare test data, validate database state, compare results, and verify expected outcomes.
· Track tested issues, defects, test evidence, and results accurately in Microsoft Azure DevOps.
· Suggest software improvements and corrections based on test results, recurring defects, and production findings.
· Coordinate with Quality Control, Development, DevOps, Platform Engineering, and business stakeholders to meet delivery and quality goals.
· Integrate automated tests, linters, configuration checks, and quality gates into Azure DevOps and Git-based CI/CD pipelines to support earlier defect detection and controlled release promotion.
· Support release validation, pipeline approvals, defect investigation, promotion controls, root-cause analysis, and continuous improvement to strengthen production readiness.
· Maintain automated test procedures, test coverage, operational runbooks, and auditable release-quality documentation.
Required Skills
· Functional, regression, integration, smoke, API, file-processing, and output-comparison testing across manual and automated workflows.
· Selenium, Appium, or similar automated testing frameworks.
· Working knowledge of object-oriented programming languages, with C# preferred.
· Agile user-story testing, acceptance-criteria validation, and accurate test execution.
· Microsoft Azure DevOps, including test plans, test cases, defect tracking, pipelines, and release controls; TFS experience is helpful where legacy workflows remain in use.
· SQL query development for test-data setup, data comparison, database validation, and verification of test results.
· Ability to work across multiple application and testing environments.
· Git-based development workflows, pull requests, branch controls, and GitHub Actions or equivalent pipeline automation.
· CI/CD quality gates, release validation, test-result reporting, and automated promotion controls.
· Policy as Code, linters, configuration testing, and automated compliance validation.
· Defect troubleshooting, technical documentation, root-cause analysis, and cross-functional collaboration.
Nice to have
· Experience testing healthcare EDI transactions, particularly 837 claim files and downstream clearinghouse output.
· Experience building baseline-versus-modified pipeline comparison harnesses for production-equivalent test inputs.
· Experience validating reference-data changes through automated snapshots and comparison scripts.
· Experience supporting large-scale production SaaS environments with formal change management and release governance.
· Experience producing auditable quality evidence for compliance-driven environments.
· Demonstrated success improving release confidence, increasing test repeatability, and reducing escaped defects through automation and earlier validation.
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