Note: The job is a remote job and is open to candidates in USA. Blu Omega is seeking a Senior QA Engineer and Tester to support a federal health data modernization and analytics program. The role focuses on designing and maintaining automated testing frameworks, supporting cloud-based test environments, integrating testing into CI/CD pipelines, and driving quality improvement across complex data solutions.
Responsibilities
- Design, build, maintain, and optimize automated testing frameworks for data models, analytics solutions, and applications
- Create and support scalable test environments using cloud technologies such as AWS and Azure
- Apply AI-enhanced testing approaches, including GitHub Copilot and agentic UI automation, to improve testing efficiency and coverage
- Perform automated and manual testing, including functional, regression, usability, integration, and data validation testing
- Develop and execute comprehensive test plans, test cases, and validation strategies for complex data solutions
- Implement, maintain, and troubleshoot CI/CD pipelines using Azure DevOps, GitHub Actions, GitLab, or Jenkins
- Integrate automated testing into CI/CD workflows to enable continuous validation and early defect detection
- Collaborate with cross-functional teams to define testing strategies, document defects, and resolve issues
- Validate data models, transformations, integrations, and downstream outputs for accuracy and reliability
- Analyze test results to identify quality risks, coverage gaps, and improvement opportunities
- Maintain thorough test documentation, defect reports, and quality metrics
- Support Agile delivery and promote automation best practices across the team
Skills
- At least 4 years of experience designing, developing, and maintaining automated testing frameworks
- Proficiency in programming or scripting with Python, Java, Groovy, SQL, or Bash
- At least 2 years of experience supporting CI/CD pipelines using Azure DevOps, GitHub Actions, GitLab, or Jenkins
- Hands-on experience developing and executing automated tests for complex applications or data solutions
- Experience building or supporting scalable test environments in AWS or Azure
- Knowledge of AI-powered QA technologies such as GitHub Copilot or agentic UI automation
- Strong understanding of testing methodologies, quality engineering, and software development lifecycle
- Experience working in Agile environments with cross-functional teams
- Excellent written and verbal communication skills
- Ability to obtain and maintain a Public Trust suitability determination
- Bachelor's degree in computer science, engineering, information technology, data science, or related field
- Experience with MuleSoft, API platforms, or enterprise integrations
- Experience with Power BI or other data visualization platforms
- Experience with Databricks, SQL, or enterprise data environments
- Testing experience with data models, transformations, pipelines, or analytics solutions
- Knowledge of human-centered design, usability testing, and accessibility standards
- Support of federal government or large-scale digital health programs
Benefits
- Medical, Dental, and Vision coverage through national providers
- 401(k) with company match (eligible after 6 months; vesting applies)
- Company-paid Life and AD&D insurance with additional voluntary options
- Short-term disability (company-paid) and long-term disability options
- Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources
- Telehealth and virtual care options available through medical plans
- Pet insurance, legal services, and identity theft protection options
- Paid Time Off (PTO) for eligible employees
- Paid federal holidays for salaried employees
- Access to wellness programs, discounts, and lifestyle benefits
Company Overview