SDET

• Design, Develop and Maintain Test Automation Frameworks, Tools and Libraries: Develop a strong understanding of relevant product areas, independently implementing and maintaining complex automated tests and medium complex framework features.
• Critical Thinking and Problem-Solving Skills: Skilled in debugging and resolving simple blocking issues, especially with automation scripts, new frameworks and new tools. Applies analytical and creative approaches to tackle simple quality challenges with solutions.
• Implement/Enhance Continuous Integration Continuous Deployment (CI / CD): Understanding of automation framework with CI/CD pipelines to facilitate automated testing during the build and deployment processes.
• Performance Testing Support: Design and implement complex performance test script based on existing automation framework and tools to execute performance tests. Provide analytical and provide feedback for the releases in the test result report.
• Define and Enforce Automation Standards and Best Practices: Enforcing coding standards, best practices, and guidelines for writing and maintaining automated scripts and framework. Review code written by team members to ensure adherence to standards and provide constructive feedback.
• Cross-Functional Collaboration and Communication: Work closely with cross functional teams and stakeholders to gather requirements and provide simple solutions in framework to meet medium-complex testing needs in small-medium sized team.
• Create, Monitor and Analyze Test Results: Create, review and analyze test execution results, providing complex insights and simple recommendations based on findings.
• Training and Mentorship: Train and mentor TE and SETs on using the automation framework to start writing medium automation tests. Training others to diagnose, resolve mid-complex issues and prepare proper documentation to ensure smooth operation.

Senior Software Engineer in Test

• Design and maintain manual/automated test suites for primary and integrated Retail, Finance, HR and Supply Chain systems under senior guidance.
• Execute and monitor CI/CD-integrated test pipelines in Concourse/GitHub Actions, reporting results and ensuring quality gates are enforced on every code push.
• Write and run API, UI, and basic performance tests against assigned applications, custom services, and REST/OData endpoints.
• Monitor test health dashboards, flag flaky tests, and contribute to ongoing improvements in suite reliability and coverage.
• Maintain clear and accurate documentation for test cases, test data, and defect reports.
• Participates in small to large project implementations.

QA Automation Engineer I

• Design AI and Automation Solution Patterns
• Develop reusable AI and automation solution patterns that translate business use cases into practical conceptual, logical, and technical designs.
• Define repeatable design approaches, documentation standards, testing expectations, support considerations, and measurement practices that can be adopted across business and technology teams.
• Partner with enterprise architecture to ensure solution patterns align with enterprise standards, integration principles, security expectations, and cloud architecture direction.
• Build Reference Implementations and Proofs of Value
• Build or co-build prototypes, proof-of-value implementations, reusable components, and demonstration scenarios that validate AI and automation approaches.
• Evaluate emerging tools, platforms, integration patterns, automation capabilities, and technical assumptions through hands-on reference implementations.
• Document implementation lessons, constraints, and recommended patterns so solutions can be replicated, adapted, extended, and moved toward production.
• Provide Technical Advisory and Design Support
• Serve as a technical advisor to business, product, process improvement, and technology delivery teams pursuing AI and automation opportunities.
• Translate use cases, workflow impacts, business requirements, and adoption needs into practical solution options in partnership with the AI & Automation Enablement Lead.
• Guide teams through tool selection, architecture, integration, data, security, controls, testing, deployment, scaling considerations, and technical risk tradeoffs.
• Support Responsible AI and Automation Practices
• Embed responsible AI and automation practices into solution design, including transparency, human oversight, data protection, security, privacy, explainability where appropriate, and appropriate use limitations.
• Partner with governance, risk, compliance, legal, privacy, information security, and data governance teams to ensure solutions follow enterprise guardrails.
• Identify, document, and support mitigation of AI-specific risks, production readiness needs, human-in-the-loop controls, operational monitoring, and auditability requirements.
• Define Technical Standards, Templates, and Reusable Assets
• Create and maintain technical templates, reference architectures, design checklists, prompt engineering patterns, automation standards, testing guides, and production readiness materials.
• Develop reusable components, scripts, connectors, workflow patterns, prompt libraries, configuration examples, and technical accelerators where appropriate.
• Partner with CoE leadership to ensure technical assets are understandable, reusable, aligned with business-facing playbooks, and continuously improved based on implementation lessons.
• Support Lifecycle Execution from Intake to Scale
• Support the end-to-end AI and automation lifecycle, from opportunity assessment and solution design through prototype development, governance alignment, testing, deployment readiness, adoption, measurement, and scale.
• Define production readiness expectations for technical design, documentation, ownership, monitoring, support model, controls, adoption needs, and benefit tracking.
• Partner with delivery teams to plan pilot-to-production transitions, resolve technical barriers, and ensure solutions are secure, supportable, observable, maintainable, and aligned with enterprise architecture expectations.
• Enable Distributed Delivery Teams
• Coach technology and business teams on approved AI and automation patterns, tools, standards, delivery practices, and responsible use of CoE-provided guidance and reusable assets.
• Provide technical enablement through demos, design walkthroughs, knowledge-sharing sessions, office hours, and communities of practice.
• Help teams determine when to use generative AI, workflow automation, RPA, low-code/no-code tools, APIs, data services, or traditional application capabilities while promoting reuse over one-off solutions.
• Partner Across Platforms, Data, Architecture, and Security
• Collaborate with enterprise architecture, cloud/platform teams, data and analytics, application teams, security, identity/access management, infrastructure, and operations.
• Ensure solutions consider data readiness, integration needs, access controls, platform constraints, system performance, monitoring, operational support, scalability, and vendor/platform limitations.
• Support alignment with approved platforms, enterprise technical standards, capability roadmaps, and technical enablement needs.

SDET jobs in Iowa

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Senior Software Engineer in Test

QA Automation Engineer I

AI & Automation Solution Architect