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# Senior Software Test Engineer (Process, Automation & GenAI) # 26-24173

- **Company:** US Tech Solutions, Inc.
- **Location:** River Grove, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, JIRA, Automation of Tests, Microsoft Azure, Databases, Continuous Integration, Data Validation, DevOps, Distributed Systems, Python (Programming Language), Systems Development Life Cycle, E2e Testing, Selenium, Systems Integration, Postman, Hardware Testing, Backend, Agentic-AI, Playwright, Programming Languages, Microservices
- **Published:** October 1, 2026
- **Apply:** https://www.disabledperson.com/jobs/75579083-senior-software-test-engineer-process-automation-genai-26-24173

## About the Role

* We are seeking a well-rounded and highly motivated Senior Software Test Engineer to drive quality across enterprise-scale, cross-functional integration programs. This role requires a balanced combination of hands-on automation expertise, GenAI-driven testing innovation, solution-oriented delivery ownership, and the ability to identify, lead, and implement process improvements across testing activities. The ideal candidate is equally comfortable driving technical excellence, improving quality engineering practices, and collaborating across teams to deliver high-quality outcomes at scale., * 5+ years of hands-on experience in software test automation (UI, API, integration) and functional testing.
 * 1+ year of experience in GenAI / AI Agents for testing, productivity, or engineering use cases

Strong expertise in:

 * Selenium and/or Playwright automation frameworks
 * Programming languages such as Java, Python, or JavaScript
 * API testing tools (Rest Assured, Postman, etc.)
 * Solid understanding of: Software Testing Lifecycle (STLC) and SDLC
 * Agile and DevOps practices
 * CI/CD tools and pipelines
 * Experience with GenAI-based test optimization, self-healing scripts, or AI-assisted validation
 * Exposure to microservices, cloud (AWS/Clienture), and distributed architectures
 * Knowledge of test management tools (ADO, Jira, Zephyr)

Key Competencies

 * Solution mindset with strong problem-solving skills
 * Ability to balance quality, speed, and delivery outcomes
 * Strong communication and stakeholder alignment skills
 * Proactive ownership and accountability in complex environments

## Description

* You are a hands-on automation engineer and delivery-focused problem solver who can innovate with GenAI while ensuring robust, scalable, and production-ready quality engineering practices. You proactively identify, lead, and drive process improvements across testing activities to increase efficiency, quality, coverage, and delivery outcomes., * Identify gaps, inefficiencies, and opportunities for improvement across testing processes, workflows, and quality engineering practices, and drive corrective actions to enhance delivery effectiveness and quality outcomes.
 * Partner with cross-functional teams to continuously evaluate and optimize quality engineering processes, metrics, governance, and automation adoption.
 * Perform end-to-end integration testing and provide quality engineering support during Go-Live and post-deployment validation.
 * Conduct basic database testing, including data validation, query execution, and backend verification.
 * Design, build, and maintain automation frameworks using Selenium and/or Playwright for UI, API, and end-to-end validation
 * Drive automation-first approach across functional, regression, integration, and release testing cycles
 * Integrate automation suites with CI/CD pipelines to enable continuous testing and faster feedback loops
 * Leverage GenAI and AI Agents to enhance test design, optimize coverage, automate test generation, and improve defect detection
 * Collaborate with product, engineering, DevOps, and business stakeholders to ensure quality is embedded across the lifecycle
 * Identify risks proactively and provide solution-oriented mitigation strategies aligned with delivery timelines
 * Own automation metrics, KPIs, and continuous improvement initiatives to increase efficiency and coverage
 * Ensure high-quality releases through strong validation practices, traceability, and governance
 * Travel to the designated lab, as required, to perform hands-on hardware testing, validation, and troubleshooting.