QA Automation Engineer

• Develop and maintain EAG/API-gateway automation components that integrate with Government-approved CI/CD pipelines.
• Create and validate configuration-as-code, pipeline-compatible deployment artifacts, gateway promotion workflows, API validation gates, and migration automation components.
• Support automated checks for API specification quality, governance compliance, Zero Trust controls, telemetry, configuration drift, and production-readiness evidence.
• Build automation and validation evidence that supports PWS automation outcomes, including 75 percent manual onboarding reduction, 90 percent automated onboarding success rate, and 100 percent Zero Trust/governance compliance prior to production deployment.
• Troubleshoot gateway-side CI/CD integration issues, including deployment failures, configuration errors, credential/certificate dependencies, environment promotion issues, and validation gate failures.
• Support Git-based version control, branching, pull/merge request workflows, artifact repositories, and release evidence.
• Coordinate with Government CI/CD, DevSecOps, cybersecurity, identity, network, and release teams for platform-owned dependencies.
• Produce pipeline documentation, automation runbooks, validation logs, deployment evidence, rollback steps, and knowledge-transfer materials.

Gateway Automation Engineer

• Wellabe is hiring an AI & Automation Delivery Engineer to join our team.
• This role supports the AI & Automation Center of Excellence by building practical AI and automation solutions, prototypes, pilots, reusable components, and technical accelerators.
• This role works with business, technology, architecture, data, security, governance, and process improvement partners to deliver solutions that are secure, supportable, measurable, and aligned with enterprise standards.
• The role focuses on delivering immediate value while enabling distributed teams to reuse approved patterns and scale AI and automation responsibly.
• Build AI and Automation Solutions, Build, configure, test, and refine AI and automation solutions using approved platforms, patterns, workflows, agents, prompts, connectors, integrations, and reusable components.
• Develop prototypes, pilots, proofs of value, and early production implementations with the AI & Automation Solution Architect, ensuring solutions are usable, secure, scalable, supportable, and aligned with approved designs.
• Build lighthouse solutions and working examples that demonstrate practical AI and automation use cases and can be showcased, reused, replicated, or extended across the enterprise.
• Validate feasibility, user experience, integration needs, data dependencies, platform fit, risks, and production readiness through rapid experimentation, documentation, and lessons learned.
• Develop reusable automation patterns, workflow templates, prompt examples, connectors, scripts, configuration guides, sample solutions, and technical accelerators.
• Partner with business teams, process improvement teams, and product owners to define use case goals, workflow impacts, user needs, success criteria, requirements, technical gaps, and practical implementation plans.
• Support implementation from intake through design, build, testing, deployment readiness, adoption, measurement, scale, and production handoff.
• Track progress, risks, dependencies, reusable assets, implemented automations, lessons learned, benefits realized, adoption, usage, efficiency gains, quality improvements, and other business outcomes.

AI & Automation Delivery Engineer

• The AI Automation Engineer will develop AI-assisted automation, integrations, scripts, workflows, and reusable components that improve engineering productivity, testing, documentation, observability, incident response, and operational efficiency.
• This role will support the AI-First IT team by building automation capabilities that can be piloted, refined, and scaled across IT engineering, infrastructure, operations, and employee productivity use cases.
• Work closely with AI solutions engineers, architects, application teams, infrastructure and operations teams, data teams, security, risk governance, and business partners to deliver secure, reliable, and reusable automation assets.
• Document usage patterns, reusable prompts, workflows, and enablement materials that help teams adopt AI tools effectively and responsibly.
• Build AI-enabled workflows that support coding, test generation, documentation, requirements analysis, code review, knowledge retrieval, and developer productivity.
• Partner with engineering and operations teams to identify repetitive work that can be simplified through AI-enabled automation.
• Create operational runbooks, support documentation, and repeatable workflows for AI-enabled operations use cases.

QA Automation Engineer jobs in Iowa

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Gateway Automation Engineer

AI & Automation Delivery Engineer

AI Automation Engineer