Responsibilities Include:
Collaborate with stakeholders to identify potential automation opportunities and define project requirements.
Design, develop, and implement automated solutions to optimize processes and improve efficiency.
Create and maintain automation frameworks, libraries, and test scripts for various applications and systems.
Perform end-to-end testing, including functional, regression, and performance testing, using automated tools and frameworks.
Troubleshoot and debug automation scripts and systems to ensure accuracy and reliability.
Conduct code reviews and provide technical guidance to ensure high-quality automation deliverables.
Continuously monitor and analyze automation results, identify areas for improvement, and implement enhancements accordingly.
Collaborate with cross-functional teams, including developers, QA analysts, and project managers, to ensure seamless integration of automated processes.
Stay updated with the latest automation technologies, tools, and best practices, and proactively propose their implementation to enhance automation capabilities.
Document automation processes, methodologies, and configurations for future reference.
Required Technical and Professional Expertise
7+ Years of IT experience
Strong programming skills in Java.
Proficiency in automation tools/frameworks such as Selenium WebDriver.
Experience working with continuous integration and delivery (CI/CD) tools such as Jenkins, Git, and JIRA
Hands-on experience with API testing and automation tools like Postman or SoapUI.
Familiarity with relational databases and ability to write SQL queries for data validation and verification.
Knowledge of Agile/Scrum methodologies and experience working in an Agile development environment.
Excellent problem-solving and analytical skills, with a keen attention to detail.
Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
Ability to multitask, prioritize work effectively, and thrive in a fast-paced, deadline-driven environment.
Preferred Technical and Professional Expertise
Bachelor’s degree in computer science, Software Engineering, or a related field (or equivalent experience).
Experience with cloud-based platforms (e.g., AWS, Azure, Google Cloud) and their automation tools.
Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
Knowledge of performance testing and monitoring tools like JMeter.
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