Sr. Quality Assurance Engineer

We are seeking a Sr. Quality Assurance Engineer (REMOTE) for a full time and direct hire role for one of our amazing partners in the United States. This role is remote but you MUST be living in the United States and be a US Citizen or Green Card Holder. This role does NOT offer sponsorship its NOT a consulting role and we do NOT work with 3rd parties!

Overview:

Were looking for a highly technical and analytical Senior Quality Assurance Engineer to take ownership of quality across core software applications. You will design develop and maintain automated testing frameworks across backend services APIs cloud infrastructure network integrations and web applications. Youll play a key role in validating high-volume authentication workflows third-party integrations data pipelines and overall system performance. You will work closely with engineering and technology leadership to identify potential issues early improve test coverage reduce defects and help ensure reliable software releases. You will be responsible for developing comprehensive automated and manual testing strategies that ensure reliable scalable and secure software. This role goes beyond traditional black-box testing. Youll need to understand the underlying application and cloud infrastructure work comfortably with APIs and databases troubleshoot complex issues and use technical data to identify the root cause of defects. This is a fast-moving environment where adaptability creative problem-solving and a willingness to use emerging technologies including AI are encouraged. Were looking for someone who enjoys finding better ways to test automate troubleshoot and improve software quality.

We are looking for someone who is technically curious highly analytical and comfortable getting deep into the technology stack. Someone who naturally asks why something failed rather than simply documenting that it failed. Youll thrive in this position if you enjoy solving complex problems working across application and infrastructure layers building automation from the ground up and continuously looking for ways to make QA more efficient through modern tools and AI. You will be a true technical partner to engineering not simply a tester at the end of the development cycle.

Responsibilities:

Test Automation & Framework Development

• Design build and maintain scalable automated testing frameworks.
• Develop automated coverage for backend systems APIs network integrations and complex web applications.
• Create reliable maintainable test suites that minimize flaky tests and improve release confidence.
• Balance automated and manual testing based on application risk and requirements.

API & Integration Testing

• Lead end-to-end testing of RESTful APIs and third-party integrations.
• Validate API contracts authentication processes data exchanges and error handling.
• Test secure communication workflows and integrations across multiple systems.
• Use tools such as Postman SoapUI or automated HTTP clients to validate API functionality.

Cloud & Infrastructure Testing

• Test applications and services running within AWS environments.
• Validate functionality across EC2 Lambda S3 and DynamoDB.
• Verify deployments configurations permissions security groups and IAM policies.
• Identify infrastructure-related issues that could impact application functionality reliability or security.

Database & Data Validation

• Write and execute complex T-SQL queries to validate database structures and data changes.
• Test stored procedures joins schemas and data transformations.
• Validate data pipelines and telemetry to ensure information is accurate and complete.
• Test search and indexing functionality using OpenSearch or Elasticsearch.

AI-Enhanced QA

• Explore and implement AI-powered tools to improve testing efficiency and coverage.
• Use generative AI to create mock and synthetic data generate edge-case scenarios and accelerate test development.
• Leverage LLMs to assist with test case creation log analysis troubleshooting and root-cause investigation.
• Identify opportunities to incorporate AI into QA workflows while maintaining appropriate technical oversight and accuracy.

Defect Management & Troubleshooting

• Identify reproduce isolate document and track software defects.
• Manage defects through tools such as Jira or Azure DevOps.
• Provide developers with detailed technical information including application logs network traces stack traces and reproduction steps.
• Partner with engineering teams to determine root causes and accelerate resolution.

Requirements:

• 8 years of professional software QA engineering experience with a strong emphasis on automation and backend testing.
• Strong experience developing and maintaining automated testing solutions.
• Proficiency with C# and ecosystem.
• Experience working with testing and debugging PHP backend applications.
• Hands-on experience testing applications and workloads running in AWS.
• Strong working knowledge of AWS EC2 Lambda S3 DynamoDB and IAM.
• Advanced SQL and T-SQL skills including queries joins stored procedures and database validation.
• Experience testing relational databases and complex data structures.
• Experience working with OpenSearch or Elasticsearch including search and indexing validation.
• Strong understanding of RESTful APIs and API testing methodologies.
• Experience using API testing tools such as Postman SoapUI or automated HTTP clients.
• Strong analytical and troubleshooting skills with the ability to investigate issues beyond the user interface.

Preferred Qualifications

• Experience using AI-powered testing tools and frameworks including technologies that support intelligent locators self-healing selectors or automated test maintenance.
• Experience with tools such as Playwright and Xray.
• Practical experience using ChatGPT Claude or similar LLMs for test generation log analysis root-cause analysis and synthetic data creation.
• Experience using GitHub Copilot Claude APIs or other AI development tools to improve QA workflows.
• Experience building AI-assisted mock services or test environments.
• Strong understanding of CI/CD practices and experience integrating automated testing into deployment pipelines.
• Experience working in high-growth or rapidly evolving technology environments.
• Bachelors degree in Computer Science Information Technology Engineering or a related field.

All qualified applicants will receive consideration for employment without regard to race color national origin age ancestry religion sex sexual orientation gender identity gender expression marital status disability medical condition genetic information pregnancy or military or veteran status. You must be legally authorized to work in the United States without current or future sponsorship.