Senior Quality Assurance Engineer - Remote

ICF is a mission-driven company filled with people who care deeply about improving the lives of others and making the world a better place. Our core values include Embracing Difference; we seek candidates who are passionate about building a culture that encourages, embraces, and hires dimensions of difference.  

Our Health Engineering Systems (HES) team works side by side with customers to articulate a vision for success, and then make it happen. We know success doesn't happen by accident. It takes the right team of people, working together on the right solutions for the customer. We are looking for a seasoned Quality Assurance Engineer who will be a key driver to make this happen. 

Responsibilities:  

• Providing testing and analysis of complex systems to ensure systems are compliant with requirements and can perform well in production 

• Independently developing performance, functional, behavioral, API, and 508 (any as needed) test scripts using applicable tools, create test scenarios and execute tests 

• Analyzing test results, identifying performance root issues, and writing test reports to recommend improvements to the system 

• Coordinating with other testers and developers to resolve test problems and ensure customer satisfaction 

• Attending requirements gathering meetings to better understand business needs, functional and system requirements and ensuring all development meets criteria 

• Focusing on end-to-end test automation pipeline health and overall quality of the overall program 

• Producing detailed testing documents, including test plans, test cases, test data, and test scripts to automate and rapidly perform testing iteratively 

• Developing testing status reporting tools and methods that will allow stakeholders at various levels to quickly assess the system status of their focused area and drill down to get details as needed 

• Leading and taking ownership of automated testing processes and implementing them; contributing to the design and maintenance of the test automation framework. 

• Promoting and enforcing an automation-first approach to reduce manual configurations within the platform 

• Developing high quality automation test engineering best practices, test strategy and principles. 

• Providing regular and open communication across the program and stakeholders for transparency and awareness of progress and impediments 

• Driving delivery and continuous improvement by utilizing feedback and metrics (quality, delivery rate, etc.) to identify areas of opportunity 

• Other duties as assigned 

Minimum Qualifications:  

• Bachelor’s degree

• 7+ years of hands-on testing (performance, functional, behavioral, API, and 508) experience 

• Candidate must be able to obtain and maintain a Public Trust clearance 

• Candidate must reside in the US, be authorized to work in the US, and work must be performed in the US 

• Must have lived in the United States for 3 full years out of the last 5 years 

Preferred Qualifications:  

• 4+ years of test experience on data-centric application and systems; experience creating test data for healthcare datasets such as provider, beneficiary/patient, quality measures and claims data; experience testing APIs; experience conducting User Acceptance Testing with users, collecting inputs from users, and supporting users with potential workaround 

• 5+ years of test automation experience on Salesforce Platform (Copado Robotic Testing preferred) 

• Experience with Agile methodologies 

• Experience with Atlassian Jira/Confluence 

• Strong analytical skills and innovative thinking 

• Demonstrated experience working on large integration systems and executing large-scale projects with large data sets from conception through implementation. 

• Excellent command of written and spoken English 

• Strong knowledge and experience in software development in an agile environment 

• Strong experience with the Centers for Medicare and Medicaid Services (CMS) and/or Medicaid CHIP data 

At ICF, we are committed to ensuring a fair and equitable interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.  

However, we understand that some candidates may require accommodations that involve the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at [email protected]. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.