Sr. Software QA Engineer

Entrust•Shakopee, MN

1d•$91,619 - $134,375

About The Position

Entrust is seeking a Senior Quality Assurance Automation Engineer to work with multiple product teams to validate the quality, security, and scalability of user interfaces, web services, APIs, and distributed enterprise workflows. The role designs and executes end-to-end automated tests, benchmarks system behavior, analyzes results, identifies bottlenecks, and improves test-suite performance and reliability. The engineer collaborates with software development partners to define test strategies and expand automation. The position also uses approved AI-assisted engineering tools, such as GitHub Copilot, to support test creation, code review, documentation, and regression analysis, with strong human oversight and validation of AI-generated outputs. Entrust describes itself as an industry leader in identity-centric security solutions, serving more than 150 countries. The company emphasizes customer trust, intentional speed, accountability, collaboration, career growth, flexibility, and an inclusive workplace.

Requirements

6 or more years of relevant experience in Test/Quality Assurance, IT Infrastructure, or Support.
3 or more years of experience developing automated tests with frameworks such as RestAssured, Selenium, and/or Playwright.
Programming experience in JavaScript/TypeScript, Java, PowerShell, and/or C#.
Practical experience using GitHub Copilot or comparable approved AI-assisted coding tools for test automation, code review assistance, debugging support, documentation, and productivity improvement.
Ability to write clear prompts, provide relevant code and test context, evaluate AI-generated suggestions, and recognize when manual QA judgment is required.
Experience with Agile/Scrum practices and a clear understanding of the QA role and responsibilities in an Agile development environment.
Knowledge of cryptography, including key management.
Unrestricted work authorization in the United States.

Nice To Haves

BS/BA in Computer Science, Engineering, or equivalent experience.
Ansible experience scripting deployments from development through test to production.
Experience with Git, GitHub, and/or Bitbucket for source code control.
Experience with Jira and/or Microsoft Azure DevOps Server for user-story coordination, test-case management, build integration, and issue tracking.
Experience integrating AI-assisted QA workflows with pull requests, design documentation, Jira, Azure DevOps, CI/CD pipelines, logs, virtual machines, or test reporting.
Familiarity with responsible AI practices, including approved-tool usage, sensitive-data handling, intellectual-property awareness, secure coding guardrails, and review of AI-generated automation before reuse.

Responsibilities

Author automated test cases using modern frameworks such as Playwright with TypeScript, Selenium, and related API-testing tools.
Automate deployment, setup, and system testing of solutions that include software and hardware products.
Set up cloud and on-premises environments to verify supported solution scenarios, including LDAP, database, and network configurations.
Potentially automate the creation of different environments, including single and distributed deployments.
Execute end-to-end, performance, and load testing.
Create and report test-cycle metrics, identify bottlenecks, and recommend improvements that reduce cycle time.
Collaborate daily with project management, technical leads, and developers to report current and upcoming issues and possible future enhancements.
Use approved AI-assisted development and testing tools, including GitHub Copilot, for test-case generation, automation scripting, pull request analysis, test documentation, and regression impact assessment.
Create reusable automation workflows and prompts that connect product requirements, code changes, Jira or Azure DevOps issues, test results, logs, and documentation into repeatable QA processes.
Validate AI-generated output for correctness, security, privacy, completeness, and alignment with product behavior before incorporating it into test assets or automation suites.
Improve automated test coverage, regression readiness, and feedback speed by identifying repeatable QA workflows and reducing manual effort across release cycles.
Document the review, validation, and incorporation of AI-assisted outputs when they affect test coverage, quality decisions, or product release readiness.

Benefits

Eligible colleagues and their dependents can access comprehensive health and well-being programs, including medical, vision, and dental coverage.
Generous 401(k) matching contribution.
Life and disability insurance.
Mental health coaching and virtual fitness programs.
Paid personal time off and 12 paid holidays.
Parental leave.
Education reimbursement.
Eligible for the company's discretionary annual incentive plan.
Career-growth and learning-forward initiatives.
Flexible work options described as remote, hybrid, or on-site.