Senior Quality Engineer

March 30

TetraScience

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Open | Cloud-Native | Purpose-Built for Science

Experimental Data • Life Sciences • Data Integration • Cloud Computing • ML/AI

51 - 200

Description

• Work closely with various teams across the organization to understand product requirements, review project assets and documentation , provide feedback for automation improvements, support and maximize the quality and reliability of the TetraScience Platform • Have complete ownership for preparing test automation solutions, designing automation frameworks and leading the implementation of test strategy, test plans & test execution of Tetrascience Platform features • Participate in the full testing life cycle, including agile ceremonies. • Review business requirements, specifications, technical design documents and prototypes in order to eliminate potential pre-development issues. • Develop, update and maintain test plans, cases, scripts and automation. • Utilize QA best practices, patterns, and processes through all the stages of SDLC • Maintain traceability of tests to requirements and specifications. • Maintain a high degree of technical competence with the latest Web, API and Desktop application testing technologies. • Ensure high standards of availability, scalability, and extensibility of internally developed test automation assets and frameworks

Requirements

• 10+ years of hands-on Quality engineering experience in a fast-paced environment. • 5+ years of hands-on experience in test automation, creating test automation frameworks from the ground and scaling them • Experience in testing applications using microservices architecture and cloud-based technologies. • Experience working in complex computing environments, being able to formulate and implement effective test strategies, prepare and maintain test datasets. • Experience with popular automation tools, libraries and frameworks • Knowledge of automation industry trends, as well as Continuous Integration concepts and tools • Experience in GUI, API and Database automated testing • Hands on in using scripting languages such as Java / Python/ JavaScript and working with the AWS environment. • Excellent organizational, verbal, and written communication skills Analytical problem solving skills applied to issue identification and resolution. • Excellent/expert knowledge of SQL and ability to write complex queries, experience working with large scale • Experience with data warehouses / Data Lakes and their development architecture – an advantage • Highly self-motivated, independent, efficient and able to handle several projects; work under pressure with a solid sense for setting priorities

Benefits

• 100% employer-paid benefits for all eligible employees and immediate family members. • Unlimited paid time off (PTO). • 401K. • Flexible working arrangements - Remote work + office as needed. • Company paid Life Insurance, LTD/STD.