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The QA Software Engineer designs and executes manual and automated tests, ensuring high-quality software delivery in an Agile environment. They collaborate with teams to manage defects and improve QA processes.
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Job Purpose and Impact
Key Accountabilities
Qualifications
Nice to Have Skills
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Job Purpose and Impact
- The QA Software Engineer partners closely with Product and Engineering teams to ensure high-quality software delivery. This role focuses on validating product functionality through manual testing and designing, writing, and maintaining automated tests. Working within an Agile environment, this position helps ensure that features meet business requirements, quality standards, and user expectations.
Key Accountabilities
- MANUAL TESTING: Design, execute, and document manual test cases based on product requirements, user stories, and acceptance criteria.
- TEST AUTOMATION: Develop, maintain, and execute automated test scripts to support regression, integration, and end-to-end testing.
- AGILE COLLABORATION: Work closely with Product Owners, Developers, and other QA team members in an Agile/Scrum team to ensure quality is embedded throughout the development lifecycle.
- DEFECT MANAGEMENT: Identify, document, and track defects, working with the team to ensure timely resolution and verification.
- CONTINUOUS IMPROVEMENT: Contribute to improving QA processes, test coverage, and automation practices to increase efficiency and reliability.
- DOCUMENTATION: Maintain clear and concise test documentation, including test plans, test cases, and test results.
- COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather moderately complex requirements and deliver solutions that meet business needs.
- TECHNICAL SUPPORT: Occasionally, provides technical support and troubleshooting for moderately complex issues with deployed applications to ensure minimal downtime and fast resolution.
- #LI-RJ2 #LI-Hybrid
Qualifications
- Minimum of 2+ years of experience in software quality assurance, with hands-on experience in manual testing and test automation. Typically reflects 3 years or more of relevant experience.
- Experience working in an Agile development environment.
- Solid understanding of QA methodologies, testing techniques, and the software development lifecycle.
Nice to Have Skills
- Experience with Cypress or similar test automation frameworks.
- API testing experience (e.g., RESTful services).
- Working knowledge of SQL for data validation and troubleshooting.
Cargill is an equal opportunity employer and committed to providing accommodation to our job applicants with disabilities.
To apply using chat/text, please click Apply Now button OR use this link to create a login to apply.
#BI-Hybrid
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
