Senior Software QA - 2 Openings
Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Sep 11, 2026.
One team. Global challenges. Infinite opportunities. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We’re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.
What you'll do
We are seeking 2 Senior Software QA to support quality assurance activities across Enterprise Business applications, with primary focus on Oracle, SAP, Billing, and related enterprise platforms.
In this role, you will be responsible for test planning, test execution, defect management, automation opportunities, AI-assisted testing practices, and end-to-end validation across integrated business processes.
You will partner with Business Analysts, Developers, Project Managers, and Business stakeholders to ensure high-quality delivery of Global IT solutions. The role will also leverage modern AI-powered tools to improve testing efficiency, test coverage, defect detection, and overall quality outcomes.
The day-to-day
- Analyze business and functional requirements and develop test plan and test cases.
- Execute functional, integration, system, regression, and end-to-end testing across Oracle, SAP, Billing, and other enterprise applications.
- Identify, document, track, and verify software defects through resolution.
- Collaborate with project teams to validate system changes and assess cross-system impacts.
- Support release validation and production readiness activities.
- Develop and maintain test documentation, test evidence, and execution reports.
- Identify opportunities for automation and contribute to automation development and maintenance.
- Leverage AI-assisted tools and technologies to improve test design, test execution, defect analysis, and QA productivity.
- Participate in requirement reviews and provide quality-focused feedback early in the delivery lifecycle.
- Support root cause analysis and continuous improvement initiatives.
- Share knowledge and contribute to expanding QA capabilities across the broader team.
What you'll need
- 5+ years of experience in Software Quality Assurance or Quality Engineering.
- Bachelor’s degree in computer science, Information Technology, or related discipline.
- Experience testing enterprise applications such as ERP, CRM, Finance, Billing, Procurement, or Supply Chain systems.
- Strong understanding of Software Development Lifecycle (SDLC) and testing methodologies.
- Experience with defect tracking and test management tools such as Jira, qTest, or similar.
- Strong analytical and problem-solving skills.
- Effective verbal and written communication skills.
- Willingness to adopt and utilize AI-powered tools to improve testing efficiency and productivity.
What will help you on the job
Preferred Qualifications:
- Experience testing Oracle ERP, Oracle Cloud, SAP ECC, or SAP S/4HANA.
- Knowledge of financial, procurement, order management, or supply chain business processes.
- Strong SQL and database validation skills.
- Experience with enterprise automation frameworks and reusable component design
- Experience with test automation tools such as Tricentis Tosca, Selenium, or similar platforms.
- Familiar with AI-powered development, testing, or productivity tools such as Microsoft Copilot, GitHub Copilot, or AI-assisted test generation.
Nice to have:
- Programming experience using Java, Python, SQL, or similar technologies for test automation.
- Experience with source code management and version control tools such as GitHub.
- Familiar with Agile delivery methodologies, CI/CD, and automated deployment practices.
- Experience using AI tools to improve software quality, automation, defect analysis, or testing productivity.
- Experience working in global and cross-functional teams.
EEO Statement
Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.
- Analyze business and functional requirements and develop test plan and test cases.
- Execute functional, integration, system, regression, and end-to-end testing across Oracle, SAP, Billing, and other enterprise applications.
- Identify, document, track, and verify software defects through resolution.
- Collaborate with project teams to validate system changes and assess cross-system impacts.
- Support release validation and production readiness activities.
- Develop and maintain test documentation, test evidence, and execution reports.
- Identify opportunities for automation and contribute to automation development and maintenance.
- Leverage AI-assisted tools and technologies to improve test design, test execution, defect analysis, and QA productivity.
- Participate in requirement reviews and provide quality-focused feedback early in the delivery lifecycle.
- Support root cause analysis and continuous improvement initiatives.
- Share knowledge and contribute to expanding QA capabilities across the broader team.
- 5+ years of experience in Software Quality Assurance or Quality Engineering.
- Bachelor’s degree in computer science, Information Technology, or related discipline.
- Experience testing enterprise applications such as ERP, CRM, Finance, Billing, Procurement, or Supply Chain systems.
- Strong understanding of Software Development Lifecycle (SDLC) and testing methodologies.
- Experience with defect tracking and test management tools such as Jira, qTest, or similar.
- Strong analytical and problem-solving skills.
- Effective verbal and written communication skills.
- Willingness to adopt and utilize AI-powered tools to improve testing efficiency and productivity.