Senior QA Automation Engineer - Manila

Requirements:

• B.S. or MS in Computer Science or related field
• 5+ years of experience with UI Automation tools such as Selenium, and API automation works, Jenkins
• Knowledge and experience with ROBOT automation framework using Python
• 3+ years of experience working with Python and/or J2EE technology or equivalent OO paradigm
• Experience with automating test validation either via API or through database using Snowflake, HIVE or AWS Athena is highly desirable
• Knowledgeable in Git workflows like branching, merging and conflict resolution
• Understanding of Agile testing methodologies required
• Web application testing experience required both in frontend and backend validations
• Technically well versed in developing comprehensive test plans covering business use cases and test cases
• Experience with Atlassian tools such as Jira preferred
• Knowledge and experience with Kafka, Elasticsearch, and SQL, NoSQL databases such as Aerospike, Thrift, CI, and AWS is highly desirable
• Experience working with container based solution is a plus
• Experience working in a fast-paced technology environment
• Excellent problem solving, critical thinking, and communication skills
• Ability and desire to learn new skills and take on new tasks
• Knowledge and hands-on experience with applying AI/ML technologies in QA workflows or automation frameworks is highly desirable

Responsibilities:

• Responsible for independently and cooperatively understanding business requirements
• Architecting, designing and implementing a reliable and scalable automation framework for a real-world machine learning platform
• Automating tests to assure functional requirements and performance KPIs are met
• Ensuring high product quality through rigorous functional and API level tests
• Identify, record, document thoroughly and track bugs
• Perform thorough regression testing when bugs are resolved
• Providing technical and group leadership to fellow team members
• Collaborate on the design and implementation of AI/ML-driven enhancements to QA workflows and automation strategies