The Software Engineer in Test in the Center for Data Intensive Science will work with cloud computing infrastructure primarily based on OpenStack to architect and implement quality assurance practices. Works in Linux-based systems in Python and some C/C++, Go and various web programming. Solves complex problems and performs at a high technical level in programming activities. Coding includes the full stack including systems orchestration, API development, algorithms and data structures, and user interfaces. Projects span management, sharing, and provenance of large data sets; automation, metrics, and scheduling for cloud computing, large scale pipelining of next-generation sequence analysis, transfer programs/protocols for high-speed networks and resource visualization.
Responsible for creating the project Software Quality Assurance Plan
Create and implement QA Test Plans and SOPs
Test functionalities prior to each release on each tier (QA, Stage and Production)
Responsible for testing the product to be compliant with technical specifications and policy requirements.
Identify necessary teams to successfully complete the Test Phase
Contribute to Master Test Plan and Strategy by identifying appropriate test techniques and tools that ensure product quality and test completion
Develop the test case documents according to the Master Test Plan/Test Strategy
Facilitate triage of defects and assist in defect investigation and escalation
Walk through the test results with the team and communicate status to management and project leadership
Assist with the implementation of automated testing tools
Serves as a liaison with internal and external collaborators on various research projects.
Perform other duties as assigned.
Detailed knowledge of software verification and validation processes and procedures required.
Excellent debugging and trouble shooting skills required.
Understanding of software development life cycle required.
Ability to prioritize and manage workload to meet critical project milestones and deadlines required.
Attention to detail required.
Ability and willingness to acquire new programming languages, statistical and computational methods, and background in research area required.
Ability to work in a collaborative team environment required.
This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the granter of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.
Additional Job Description:
Education:Bachelor's degree in computer science, mathematics, statistics, engineering, or a related field required.Certification of one or more of the following: CTFL, CTAL-TA, CTAL-TTA(Certified Tester Foundation Level, Certified Tester Advanced Level - Test Analyst, Certified Tester Advanced Level - Technical Test Analyst) preferred.Master's degree in computer science, mathematics, statistics, engineering, or a related field preferred. Experience:Minimum of two (2) years of professional QA experience in testing activities for all phases of the testing lifecycle required.Experience designing and evaluating tests required.Experience with unit testing, test case development, automated regression testing required.Experience using applications such as Python, C/C++, Go required.Unix/Linux experience required.Version control experience requiredHigh performance/ cloud computing experience preferred.Unix/Linux programming or system administration experience preferred.Continuous integration experience preferred.UX/UI experience preferred.Git version control experience preferred.Familiarity with genomics preferred. Required Documents:ResumeCover Lettersubmit a code sample document
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