SDET with Java

Techneptune Consulting Inc
Irving, TX, United States
30 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Automation of Tests Computer Programming Continuous Integration Data Structures Software Debugging Programming Tools Github Integrated Development Environments IntelliJ IDEA Software Engineering GitHub Copilot
+12 more
AI Coding Agents Git Containerization Gitlab-ci Git Flow Selenium Webdriver Code Restructuring Software Version Control Docker SDET Jenkins Programming Languages

Requirements

Please find the JD for SDET automation engineer with Java,

  • 8 years of relevant experience
  • Programming Languages: Advanced, hands-on programming proficiency in core languages including Java, and with a deep understanding of object-oriented programming (OOP) principles, data structures, and algorithms.
  • Development Tools & IDEs: Extensive experience utilizing modern Integrated Development Environments (IDEs), specifically IntelliJ IDEA, for writing, debugging, and refactoring clean, high-quality automation code.
  • AI-Assisted Development: Hands-on experience leveraging AI coding assistants, specifically GitHub Copilot, to accelerate script generation, refactor legacy code, and optimize test automation workflows.
  • Professional Experience: Proven professional experience in a hands-on software development or automation engineering role, with deep expertise in Selenium WebDriver and associated frameworks.
  • CI/CD Pipeline Integration: Hands-on experience configuring, maintaining, and optimizing continuous integration and continuous delivery (CI/CD) pipelines (e.g., Jenkins, GitLab CI, GitHub Actions, Tekton) to trigger automated test suites.
  • Containerization & Orchestration: Experience orchestrating automated regression runs within containerized environments using Docker and Kubernetes via pipeline-as-code configurations.
  • Version Control: Strong familiarity with version control systems (Git), branching strategies, and pull request workflows within an enterprise environment.
  • Core Competencies: Excellent analytical, problem-solving, and technical communication skills, with the ability to articulate complex architectural concepts to diverse stakeholders.

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