Software Manager in Test

May 17, 2017
Institution Type
Four-Year Institution
About The Unit: The Center for Data Intensive Science at the University of Chicago is a research center pioneering translational data science to advance biology, medicine, and environmental research. Data driven research approaches require interdisciplinary innovation in computing technology, algorithms, and statistical models. The growing volume of data available necessitates advances in the sophistication of these methods. Our work centers around developing instruments to integrate commons of complex data with cloud computing technology. We architect large scale commons of research data, computing resources, applications, tools, services. Our guiding principles center around open data, open-source software, and open infrastructure. Through this approach, we can more effectively use data at scale to study and pursue scientific inquiry in the areas of biology, medicine, healthcare, and the environment. We are leaders in data sharing, democratizing access for the broader research community and accelerating discovery. Our leadership emerged with the launch of the first open-source cloud-based computational research platform recognized as an NIH Trusted Partner, achieving rigorous data quality and data management service requirements. Today we offer over seven petabytes of rich research data through the following data commons platforms: - NCI Genomic Data Commons - Bionimbus Protected Data Cloud - Blood Profiling Atlas for Cancer - OCC Environmental Data Commons - Open Science Data Cloud We are based in Chicago, but our work engages collaborators from across the world.

Unit Job Summary: The Software Manager in Test in the Center for Data Intensive Science will work with cloud computing infrastructure primarily based on OpenStack to lead and manage all aspects of quality assurance. Manages the quality assurance team and collaborates across other functional teams. Provides technical authority and oversight for complex problems and works hands-on at a high technical level in programming activitites. Oversees work in Linux-based systems in Python and some C/C++, Go and various web programming. 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. Primary responsibilities include: - Responsible for the project Software Quality Assurance Plan - Create and implement QA Test Plans and SOPs - Lead efforts for test functionalities prior to each release on each tier (QA, Stage and Production) - Responsible for leading testing activities required for the product to be compliant with technical specifications and policy requirements. - Identify necessary individuals and collaborative teams to successfully complete the Test Phase - Responsible for the Master Test Plan and Strategy by identifying appropriate test techniques and tools that ensure product quality and test completion - Develops timelines and plans for the team leads escalated problem resolutions - Responsible for the development of test case documents according to the Master Test Plan/Test Strategy - Oversee triage of defects and assist in defect investigation and escalation - Walk through the test results with the team and communicate status and reports to project leadership and stakeholders - Directs the implementation of automated testing tools and contributes to decisions on project and infrastructure needs - Serves as a liaison with internal and external collaborators on various research projects. - Perform other duties as assigned. This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.

Unit Education: Bachelor's degree in computer science, mathematics, statistics, engineering, or a related field required. CTAL-TM (Certified Tester Advanced Level - Test Manager) certification preferred. Master's degree in computer science, mathematics, statistics, engineering, or a related field preferred.

Unit Experience: Minimum of six (6) years of professional QA experience in testing activities for all phases of the testing lifecycle required. Minimum of three (3) years of professional supervisory experience 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++, Java or Go required. Experience with Selenium required. Unix/Linux experience required. Version control experience required. High 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. Experience managing a project funded by a federal contract preferred. Experience with the JIRA issue and project tracking tool preferred. Experience in an Agile Scrum environment preferred. Familiarity with genomics preferred.

Unit Job Function Competencies: Detailed knowledge of software verification and validation processes and procedures required. Excellent debugging and trouble shooting skills required. Understanding of software development lifecycle 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.

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