The DevSecOps Engineer will streamline the secure software development life cycle, security automation and orchestration, and incident response from requirements through production monitoring. The role uses open-source tools, automation, and cloud resources to reduce repetitive work and support innovation. Systems to protect include on-premises infrastructure, custom SaaS tools for data sharing and analysis, and AI/ML research and bioinformatics environments. This at-will position is wholly or partially funded by contractual grant funding. Employment depends on continued receipt of grant funds and satisfactory job performance. The position is an individual-contributor role in the University of Chicago's Center for Translational Data Science. It is scheduled for 40 hours per week and is salary-based. The stated pay range is $80,000–$120,000. Benefits eligible. The University describes the Center for Translational Data Science as a research center focused on developing translational data science for impactful problems in biology, medicine, healthcare, and the environment. Its work includes building ecosystems of research data, computing resources, applications, tools, and services for the research community.
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Job Type
Full-time
Career Level
Mid Level