Quality Assurance Engineer
Republic Services- Full Time
- Junior (1 to 2 years)
Candidates should possess a Bachelor’s degree in Computer Science or a related field, along with a strong background in both software development and quality assurance. They should have a passion for creating efficient and reliable testing frameworks, and experience with automation frameworks such as Selenium, Pytest, TestNG, or RESTAssured is required.
The SDET will be responsible for designing, building, and maintaining automation frameworks to support continuous testing, developing automated test cases using frameworks like Selenium, Pytest, TestNG, or RESTAssured, integrating automated testing into CI/CD pipelines, automating regression testing, collaborating with developers to identify test cases and create test plans, ensuring seamless integration of automated tests in the deployment pipeline, writing and executing tests for both front-end (UI) and back-end services (API) ensuring high code coverage, performing code reviews, and performing manual testing when necessary to verify certain use cases and scenarios.
Develops AI chatbots for IT operations
Aisera develops chatbots and process-centric AI solutions specifically for IT operations. Their chatbots are designed to engage in human-like conversations, allowing clients to access self-service options that help reduce costs associated with service desks. Aisera primarily serves organizations that seek customizable virtual agents to modernize their IT operations and minimize unplanned outages. Their products can be quickly deployed, giving them an advantage in the fast-growing AI and machine learning market. Aisera's revenue comes from selling these AI solutions, which not only help businesses cut costs by deflecting support tickets and reducing wait times but also improve customer experience through personalized interactions. Additionally, Aisera allows clients to create their own bot experiences, enabling them to operationalize their generative AI applications or deploy chatbots trained on their specific data in a matter of weeks.