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SDET

Hybrid in Miami, FL, US • Posted 23 hours ago • Updated 23 hours ago

Contract Corp To Corp

Contract W2

1 Year

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

MANUAL
QUALITY ASSURANCE
AWS

Summary

We are seeking a Software Development Engineer in Test (SDET) to develop and maintain automated testing solutions for complex web-based applications. This role will be primarily focused on test automation, with limited manual testing as needed, and will work closely with developers, QA engineers, and business stakeholders throughout the software development lifecycle.
The ideal candidate has hands-on experience building and maintaining automation frameworks, testing APIs and integrations, incorporating automated testing into CI/CD pipelines, and troubleshooting test failures. Experience using AI-assisted development/testing tools such as GitHub Copilot is strongly preferred.
Responsibilities

Develop, maintain, and execute automated test suites for web applications, APIs, integrations, and critical end-to-end business workflows.
Build and enhance scalable automation frameworks using modern testing tools and programming/scripting languages.
Create automated unit, integration, API, regression, smoke, and end-to-end tests based on application risk and testing strategy.
Apply automation design patterns such as Page Object Model (POM) and reusable component-based approaches.
Integrate automated testing into CI/CD pipelines to provide fast feedback throughout the development lifecycle.
Troubleshoot flaky or failing automated tests by identifying root causes related to application code, test data, environments, timing, or test design.
Perform API testing to validate contracts, functionality, integrations, security, error handling, and data accuracy.
Implement automated accessibility testing and validate applications against WCAG guidelines.
Use mocks, stubs, fakes, and other testing techniques to isolate dependencies and improve test reliability.
Leverage AI-assisted development and testing tools, including GitHub Copilot, to improve test creation, maintenance, troubleshooting, and overall QA efficiency.
Test AI/LLM-enabled application functionality, including expected behavior, edge cases, error handling, and response quality where applicable.
Perform limited manual, exploratory, and regression testing when appropriate.
Identify, reproduce, document, and track defects through resolution.
Collaborate with developers, product teams, and business stakeholders to understand requirements and ensure appropriate test coverage.
Participate in Agile/Scrum ceremonies, code reviews, release planning, and continuous improvement initiatives.

Required Skills & Experience

2+ years of professional QA automation, SDET, or software testing experience.
Hands-on experience developing and maintaining automated tests for web-based applications.
Experience with modern UI automation tools such as Playwright, Cypress, Selenium, MABL, or similar.
Programming or scripting experience with JavaScript, TypeScript, Java, Python, or similar languages.
Understanding of automation framework design and common design patterns such as Page Object Model.
Experience with API testing using Postman, REST APIs, or similar tools.
Experience integrating automated tests into CI/CD pipelines using tools such as GitHub Actions, Jenkins, GitLab CI, or similar.
Working knowledge of Git/version control and modern development workflows.
Experience troubleshooting test failures, flaky tests, test data issues, and environment-related problems.
Understanding of unit, integration, API, and end-to-end testing strategies and when each should be used.
Familiarity with SQL and database/data validation.
Experience with Jira or similar defect/test management tools.
Experience working in an Agile/Scrum environment.
Strong analytical, problem-solving, written, and verbal communication skills.
Associate or bachelor''s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent professional experience.

Preferred Skills

Experience using GitHub Copilot or other AI-assisted development/testing tools.
Experience testing AI/LLM-enabled applications or features.
Familiarity with MCP (Model Context Protocol), agentic AI workflows, or AI-driven testing tools.
Experience with accessibility testing, WCAG guidelines, and tools such as axe-core.
Knowledge of mocks, stubs, fakes, test isolation, and test-data management.
Experience with performance testing concepts and tools.
Experience working in AWS or other cloud-based environments.
.NET application/environment experience.
Experience with BDD/TDD frameworks such as Cucumber or Jest.

Nice to Have

Experience with HCM, employee benefits, health insurance, or benefits administration applications.
Understanding of healthcare or benefits regulations such as HIPAA and ACA.
Knowledge of EDI standards and enrollment workflows.
Familiarity with retirement plans, 401(k) plans, or wealth-management concepts.
Experience testing applications involving large or complex datasets.
Experience working directly with business stakeholders to understand and refine application requirements.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91132164
Position Id: 26-00207
Posted 23 hours ago

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