SDET automation engineer with Java
Lorven Technologies Inc
Tampa, FL, United States
29 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
SDET automation engineer with Java,
- 9+ Years of exp
- 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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